APPENDIX A. A.1 Sample of Indian MFIs

Size: px
Start display at page:

Download "APPENDIX A. A.1 Sample of Indian MFIs"

Transcription

1 APPENDIX A A.1 Sample of Indian MFIs S.N. Sample of Indian MFIs Inception Legal Form 1 SEWA 1974 BANK 2 CRESA 1980 NGO 3 SKDRDP 1982 NGO 4 GRAMA VIDYALAY 1983 NGO 5 JANODAYA 1987 NGO 6 RASS 1989 NGO 7 GRAM UTTHAN 1990 NGO 8 ADHIKAR 1991 NBFC 9 ESAF 1992 NBFC 10 SHARE 1992 NBFC 11 BISWA 1995 NGO 12 NDFS 1995 NGO 13 SANGMITRA 1995 NGO 14 BASIX 1996 NBFC 15 NIDAN 1996 NGO 16 SARVODAYA NANO FINANCE 1996 NBFC 17 SKS MICROFINANCE 1997 NBFC 18 SPANDANA 1998 NBFC 19 ABCRDM 2002 NGO 20 AML 2002 NBFC 21 BANDHAN 2002 NBFC 22 SAADHAN 2002 NGO 23 NEED 2005 NGO 24 JFSL 2003 NGO 25 UJJIVAN 2004 NBFC 26 VFS 2006 NBFC 113

2 A.2 Sample of Bangladesh MFIs S.N. Sample of Bangladesh MFIs Inception Legal Form 1 BRAC 1972 NGO 2 RDRS 1972 NGO 3 CSS 1972 NGO 4 HEED 1974 NGO 5 BEES 1975 NGO 6 JCF 1976 NGO 7 ASA 1978 NGO 8 TMSS 1980 NGO 9 RIC 1981 NGO 10 RRF 1982 NGO 11 GRAMEEN BANK 1983 BANK 12 UDDIPAN 1984 NGO 13 ASOD 1985 NGO 14 PMUK 1986 NGO 15 POPI 1986 NGO 16 SSS 1986 NGO 17 SKS BANGLADESH 1987 NGO 18 DSK 1989 NGO 19 BURO BNGLADESH 1990 NGO 20 SHAKTI 1992 NGO 21 IDF 1993 NGO 22 SAJIDA 1993 NGO 23 ESDO 1993 NGO 24 CDIP 1995 NGO 25 BASTOB 1997 NGO 26 COAST TRUST 1998 NGO 114

3 A.3 Sample of Indian MFIs on the Basis of Legal Formation and Age S.N. Sample of Indian MFIs Inception Legal Form Old MFIs 1 SEWA 1974 BANK 2 CRESA 1980 NGO 3 SKDRDP 1982 NGO 4 GRAMA VIDYALAY 1983 NGO 5 JANODAYA 1987 NGO 6 RASS 1989 NGO 7 GRAM UTTHAN 1990 NGO 8 ADHIKAR 1991 NBFC 9 ESAF 1992 NBFC 10 SHARE 1992 NBFC 11 AWS 1994 NGO 12 BSS 1994 NBFC Mature MFIs 13 BISWA 1995 NGO 14 NDFS 1995 NGO 15 SANGMITRA 1995 NGO 16 SWAWS 1995 NGO 17 BASIX 1996 NBFC 18 NIDAN 1996 NGO 19 SARVODAYA NANO FINANCE 1996 NBFC 20 SKS MICROFINANCE 1997 NBFC 21 CASPHOR MC 1997 NGO 22 AMMACTS 1998 COP 23 SPANDANA 1998 NBFC 24 BFL 1999 NBFC 25 GFSPL 1999 NBFC 26 KBSLAB 1999 RB Young MFIs 27 ABCRDM 2002 NGO 115

4 28 AML 2002 NBFC 29 BANDHAN 2002 NBFC 30 SAADHAN 2002 NGO 31 NEED 2005 NGO 32 JFSL 2003 NGO 33 UJJIVAN 2004 NBFC 34 VFS 2006 NBFC 35 AROHAN 2006 NBFC 36 BJS 2006 NBFC 37 DISHA 2006 NGO 38 EQUITAS 2006 NBFC 39 GOF 2006 NBFC 40 ASHIRVAD 2007 NBFC 116

5 APPENDIX B B.1: Group Statistics of Mann- Whitney test for MFIs of India and Bangladesh Country N Mean Rank Sum of Ranks ACTB Total 208 PAR Total 260 ROA Total 260 ROE Total 260 OSS Total 260 OELP Total 260 BPSM Total 260 CA Total 260 YIELD Total 260 WB Total 260 0: India, 1: Bangladesh 117

6 B.2: Mann-Whitney test statistics for MFIs of India and Bangladesh ACTB PAR ROA ROE OSS OELP BPSM CA YIELD WB Mann- Whitney U Wilcoxon W 2.688E E E E E E E E E E E E E E E E E E E E4 Z Asymp. Sig. (2-tailed) a. Grouping Variable: Country B.3: Group Statistics of Mann-Whitney test for NBFC and NGO of India Forms N Mean Rank Sum of Ranks OELP Total 200 YIELD Total 200 PAR Total 200 ROA Total 200 ROE Total 200 OSS Total 200 ACTB

7 Total 160 WB Total 200 CA Total 200 BPSM Total 200 0: NBFC, 1: NGO B.4: Mann-Whitney test statistics of NBFC and NGO of India Test Statistics a OELP YIELD PAR ROA ROE OSS ACTB WB CA BPSM Mann- Whitney U 3.090E E E E E E E E E E3 Wilcoxon W 8.140E E E E E E E E E E3 Z Asymp. Sig. (2-tailed) a. Grouping Variable: Forms B.5: Test of Homogeneity of Variances and Test of Normality Levene Statistic df1 df2 Sig. Active borrower WB PAR ROA ROE OSS OELP BPSM

8 YIELD C_A Kolmogorov-Smirnov Shapiro-Wilk Indicators Age Statistic df Sig. Statistic df Sig. Number of Active borrower WB PAR ROA ROE OSS OELP BPSM YIELD * * * *

9 *. This is a lower bound of the true significance. B.6: Kruskal-Wallis H Test for One Way ANOVA (Rank) Number of Active borrower WB PAR ROA ROE OSS OELP Age N Mean Rank Total Total Total Total Total Total

10 BPSM YIELD C_A Total Total Total 200 Total Old MFIs 2- Mature MFIs 3- Young MFIs B.7: Test Statistics a,b Number of Active borrowers WB PAR ROA ROE OSS OELP BPSM YIELD C_A Chi- Square Df Asymp. Sig a. Kruskal Wallis Test b. Grouping Variable: Age B.8: Data Normality Statistics 122

11 B.8.1 Statistics India N ACTB PAR ROA ROE OSS OELP BPSM CA YIELD WB Valid Missing Skewness Std. Error of Skewness Kurtosis Std. Error of Kurtosis B.8.2 Statistics Bangladesh N ACTB PAR ROA ROE OSS OELP BPSM CA YIELD WB Valid Missing Skewness Std. Error of Skewness Kurtosis Std. Error of Kurtosis B.9: Statistics of Mann-Whitney test for Age-wise Comparisons 123

12 B.9.1: Group Statistics of Mann- Whitney test for Old and Mature MFIs of India Number of Active borrower WB PAR OELP YIELD Ranks Age N Mean Rank Sum of Ranks Total Total Total Total Total 130 B.9.2: Mann-Whitney test statistics of Old and Mature MFIs of India Test Statistics a Number of Active borrower WB PAR OELP YIELD Mann-Whitney U E E E E3 Wilcoxon W E E E E3 Z Asymp. Sig. (2- tailed) a. Grouping Variable: Age B.9.3: Group Statistics of Mann- Whitney test for Mature and Young MFIs of India 124

13 Number of Active borrower WB PAR OELP YIELD Age N Mean Rank Sum of Ranks Total Total Total Total Total 140 B.9.4: Mann-Whitney test statistics of Mature and Young MFIs of India Test Statistics a Number of Active borrower WB PAR OELP YIELD Mann-Whitney U E E E E3 Wilcoxon W E E E E3 Z Asymp. Sig. (2- tailed) a. Grouping Variable: Age B.9.5: Group Statistics of Mann- Whitney test for Old and Young MFIs of India 125

14 Number of Active borrower WB PAR OELP YIELD Age N Mean Rank Sum of Ranks Total Total Total Total Total 130 B.9.6: Mann-Whitney test statistics of Old and Young MFIs of India Test Statistics a Number of Active borrower WB PAR OELP YIELD Mann-Whitney U E E E E3 Wilcoxon W E E E E3 Z Asymp. Sig. (2- tailed) a. Grouping Variable: Age APPENDIX C 126

15 C.1: Coefficients (a) of Financial Factors affecting Sustainability of Indian MFIs Un-standardized Coefficients Standardized Coefficients Co linearity Statistics Model B Std. Error Beta t Sig. Tolerance VIF (Constant) ACTB WB PAR ROE BPSM CA YIELD OELP 6.743E Debt/Equit y a. Dependent Variable: OSS C.2: Coefficients (a) of Financial Factors affecting Sustainability of Bangladesh MFIs 127

16 Mod el Un-standardized Coefficients Standardized Coefficients t Sig. Co linearity Statistics Std. B Error Beta Tolerance VIF 1 (Constant) Inception ACTB 5.01E WB PAR OELP C_A YIELD Debt/Equi ty a Dependent Variable: OSS C.3: Co linearity Diagnostics (a) of Bangladesh MFIs 128

17 Mod el Dim ensio n Eigen value Condi tion Index Variance Proportions (Const ant) Ince ption ACT B WB PAR OELP C_A YIEL D Debt Equity E C.4: Residuals Statistics(a) of Bangladesh MFIs Minimum Maximum Mean Std. Deviation N Predicted Value Std. Predicted Value Standard Error of Predicted Value Adjusted Predicted Value Residual Std. Residual Stud. Residual Deleted Residual Stud. Deleted Residual Mahal. Distance Cook's Distance Centered Leverage Value a Dependent Variable: OSS C.5: Histogram of Bangladesh MFIs 129

18 Histogram Dependent Variable: OSS Frequency Mean =-1.26E-15 Std. Dev. =0.944 N =75 Regression Standardized Residual APPENDIX D 130

19 D.1: Common measures of Financial Performance used by different agencies Indicators ACCI MIX Planet SEEP WOCCU WWB OUTREACH 1. No. of Active borrowers YES YES YES YES 2. No. of women borrowers YES YES PORFOLIO QUALITY 1. Repayment rate YES 2. Portfolio at risk YES YES YES YES YES YES 3. Arrears rate YES YES FINANCING STRUCTURE YES YES YES 1. Capital to Asset Ratio YES YES YES YES PRODUCTIVITY 1. No. of loan per credit officer YES YES YES 2. Amount of loan per credit YES YES 3. Ratio of credit officer to total YES YES YES EFFICIENCY 1. Cost per borrower YES YES YES 2. Cost per unit of money lent YES YES YES YES 3.Operational efficiency YES YES YES YES YES 4. Administrative efficiency YES YES SUSTAINABILITY 1. Operational sustainability YES YES YES YES 2. Financial sustainability YES YES YES YES PROFITABILTY 1. Return on assets YES YES YES YES YES YES 2. Return on equity YES YES YES YES 3. Yield on Portfolio YES YES YES D.2: Financial Sustainability Index for Indian MFIs 131

20 CA OELP PAR OSS GLP Weighted SN MFIs CA (Score) OELP (Score) PAR (Score) OSS (Score) (Million $) Weight Score 1 SKS SPANDANA SHARE BANDHAN AML BASIX SKDRDP EQITAS GV UJJIVAN Total S. Index (2010): D.3 Financial Sustainability Index for Young MFIs of India 132

21 GLP CA OELP PAR OSS Sustain. SN Young MFIs Million $ Weight CA (Score) OELP (Score) PAR (Score) OSS (Score) Score 1 ABCRDM AML EQUITAS SAADHAN NEED JFSL UJJIVAN VFS AROHAN BJS S. Index Total (2010): D.4 Financial Sustainability Index for Old MFIs of India GLP CA OELP PAR OSS Sustain. SN Old MFIs Million $ Weight CA (Score) OELP (Score) PAR (Score) OSS (Score) Score 1 SEWA CRESA SKDRDP GV JANODAYA RASS GU ADHIKAR ESAF BSS S. Index Total (2010): APPENDIX E 133

22 E.1: Number of Active Borrowers of Indian MFIs SN Name of MFIs SEWA CRESA SKDRDP GRAMA VIDYALAY JANODAYA RASS GRAM UTTHAN ADHIKAR ESAF SHARE AWS BSS BISWA NDFS SANGMITRA SWAWS BASIX NIDAN SARVODAYA NANO FINANCE SKS MICROFINANCE CASPHOR MC AMMACTS SPANDANA BFL

23 25 GFSPL KBSLAB ABCRDM AML BANDHAN SAADHAN NEED JFSL UJJIVAN VFS AROHAN BJS DISHA EQUITAS GOF ASHIRVAD E.2: Number of Active Borrowers of MFIs of Bangladesh 135

24 SN Name of MFIs BRAC RDRS CSS HEED BEES JCF ASA TMSS RIC RRF GRAMEEN BANK UDDIPAN ASOD PMUK POPI SSS SKS BANGLADESH DSK BURO BNGLADESH SHAKTI IDF SAJIDA ESDO CDIP BASTOB COAST TRUST E.3: PAR>30 days of Indian MFIs 136

25 SN Name of MFIs SEWA CRESA SKDRDP GRAMA VIDYALAY JANODAYA RASS GRAM UTTHAN ADHIKAR ESAF SHARE AWS BSS BISWA NDFS SANGMITRA SWAWS BASIX NIDAN SARVODAYA NANO 19 FINANCE SKS MICROFINANCE CASPHOR MC AMMACTS SPANDANA BFL GFSPL KBSLAB ABCRDM

26 28 AML BANDHAN SAADHAN NEED JFSL UJJIVAN VFS AROHAN BJS DISHA EQUITAS GOF ASHIRVAD E.4: PAR>30 days of MFIs of Bangladesh 138

27 SN Name of MFIs BRAC RDRS CSS HEED BEES JCF ASA TMSS RIC RRF GRAMEEN BANK UDDIPAN ASOD PMUK POPI SSS SKS BANGLADESH DSK BURO BNGLADESH SHAKTI IDF SAJIDA ESDO CDIP BASTOB COAST TRUST E.5: Return on Asset of Indian MFIs 139

28 SN Name of MFIs SEWA CRESA SKDRDP GRAMA VIDYALAY JANODAYA RASS GRAM UTTHAN ADHIKAR ESAF SHARE AWS BSS BISWA NDFS SANGMITRA SWAWS BASIX NIDAN SARVODAYA NANO FINANCE 20 SKS MICROFINANCE CASPHOR MC AMMACTS SPANDANA BFL GFSPL KBSLAB ABCRDM

29 28 AML BANDHAN SAADHAN NEED JFSL UJJIVAN VFS AROHAN BJS DISHA EQUITAS GOF ASHIRVAD

30 E.6: Return on Asset of MFIs of Bangladesh SN Name of MFIs BRAC RDRS CSS HEED BEES JCF ASA TMSS RIC RRF GRAMEEN BANK UDDIPAN ASOD PMUK POPI SSS SKS BANGLADESH DSK BURO BNGLADESH SHAKTI IDF SAJIDA ESDO CDIP BASTOB COAST TRUST

31 E.7: Return on Equity of Indian MFIs SN Name of MFIs SEWA CRESA SKDRDP GRAMA VIDYALAY JANODAYA RASS GRAM UTTHAN ADHIKAR ESAF SHARE AWS BSS BISWA NDFS SANGMITRA SWAWS BASIX NIDAN SARVODAYA NANO FINANCE SKS MICROFINANCE CASPHOR MC AMMACTS SPANDANA BFL GFSPL KBSLAB

32 27 ABCRDM AML BANDHAN SAADHAN NEED JFSL UJJIVAN VFS AROHAN BJS DISHA EQUITAS GOF ASHIRVAD

33 E.8: Return on Equity of MFIs of Bangladesh SN Name of MFIs BRAC RDRS CSS HEED BEES JCF ASA TMSS RIC RRF GRAMEEN BANK UDDIPAN ASOD PMUK POPI SSS SKS BANGLADESH DSK BURO BNGLADESH SHAKTI IDF SAJIDA ESDO CDIP BASTOB COAST TRUST

34 E.9: OSS of Indian MFIs SN NAME OF MFIS SEWA CRESA SKDRDP GRAMA VIDYALAY JANODAYA RASS GRAM UTTHAN ADHIKAR ESAF SHARE AWS BSS BISWA NDFS SANGMITRA SWAWS BASIX NIDAN SARVODAYA NANO FINANCE SKS MICROFINANCE CASPHOR MC AMMACTS SPANDANA BFL GFSPL KBSLAB

35 27 ABCRDM AML BANDHAN SAADHAN NEED JFSL UJJIVAN VFS AROHAN BJS DISHA EQUITAS GOF ASHIRVAD

36 E.10: OSS of MFIs of Bangladesh SN NAME OF MFIS ASA BASTOB BEES BRAC BURO BNGLADESH DSK GRAMEEN BANK HEED IDF JCF RDRS SAJIDA SHAKTI SSS TMSS UDDIPAN ASOD CDIP COAST TRUST CSS ESDO RIC RRF SKS BANGLADESH POPI PMUK

37 E.11: Operating Expense/Loan Portfolio of Indian MFIs SN NAME OF MFIS SEWA CRESA SKDRDP GRAMA VIDYALAY JANODAYA RASS GRAM UTTHAN ADHIKAR ESAF SHARE AWS BSS BISWA NDFS SANGMITRA SWAWS BASIX NIDAN SARVODAYA NANO FINANCE SKS MICROFINANCE CASPHOR MC AMMACTS SPANDANA BFL GFSPL KBSLAB

38 27 ABCRDM AML BANDHAN SAADHAN NEED JFSL UJJIVAN VFS AROHAN BJS DISHA EQUITAS GOF ASHIRVAD

39 E.12: Operating Expense/Loan Portfolio of MFIs of Bangladesh SN NAME OF MFIS ASA BASTOB BEES BRAC BURO BNGLADESH DSK GRAMEEN BANK HEED IDF JCF PMUK RDRS SAJIDA SHAKTI SSS TMSS UDDIPAN ASOD CDIP COAST TRUST CSS ESDO RIC RRF SKS BANGLADESH POPI

40 E.13: Borrower per Staff Member of Indian MFIs SN NAME OF MFIS SEWA CRESA SKDRDP GRAMA VIDYALAY JANODAYA RASS GRAM UTTHAN ADHIKAR ESAF SHARE AWS BSS BISWA NDFS SANGMITRA SWAWS BASIX NIDAN SARVODAYA NANO FINANCE SKS MICROFINANCE CASPHOR MC AMMACTS SPANDANA BFL GFSPL KBSLAB

41 27 ABCRDM AML BANDHAN SAADHAN NEED JFSL UJJIVAN VFS AROHAN BJS DISHA EQUITAS GOF ASHIRVAD

42 E.14: Borrower per Staff Member of MFIs of Bangladesh SN NAME OF MFIS ASA BASTOB BEES BRAC BURO BNGLADESH DSK GRAMEEN BANK HEED IDF JCF PMUK POPI RDRS SAJIDA SHAKTI SSS TMSS UDDIPAN ASOD CDIP COAST TRUST CSS ESDO RIC RRF SKS BANGLADESH

43 E.15: Capital/Asset Ratio of Indian MFIs SN NAME OF MFIS SEWA CRESA SKDRDP GRAMA VIDYALAY JANODAYA RASS GRAM UTTHAN ADHIKAR ESAF SHARE AWS BSS BISWA NDFS SANGMITRA SWAWS BASIX NIDAN SARVODAYA NANO FINANCE SKS MICROFINANCE CASPHOR MC AMMACTS SPANDANA BFL GFSPL KBSLAB

44 27 ABCRDM AML BANDHAN SAADHAN NEED JFSL UJJIVAN VFS AROHAN BJS DISHA EQUITAS GOF ASHIRVAD

45 E.16: Capital/Asset Ratio of MFIs of Bangladesh SN NAME OF MFIS ASA BASTOB BEES BRAC BURO BNGLADESH DSK GRAMEEN BANK HEED IDF JCF PMUK POPI RDRS SAJIDA SHAKTI SSS TMSS UDDIPAN ASOD CDIP COAST TRUST CSS ESDO RIC RRF SKS BANGLADESH

46 E.17: Yield on Gross Portfolio of Indian MFIs SN NAME OF MFIS SEWA CRESA SKDRDP GRAMA VIDYALAY JANODAYA RASS GRAM UTTHAN ADHIKAR ESAF SHARE AWS BSS BISWA NDFS SANGMITRA SWAWS BASIX NIDAN SARVODAYA NANO FINANCE SKS MICROFINANCE CASPHOR MC AMMACTS SPANDANA BFL GFSPL KBSLAB

47 27 ABCRDM AML BANDHAN SAADHAN NEED JFSL UJJIVAN VFS AROHAN BJS DISHA EQUITAS GOF ASHIRVAD

48 E.18: Yield on Gross Portfolio of MFI of Bangladesh SN NAME OF MFIS ASA BASTOB BEES BRAC BURO BNGLADESH DSK GRAMEEN BANK HEED IDF JCF PMUK POPI RDRS SAJIDA SHAKTI SSS TMSS UDDIPAN ASOD CDIP COAST TRUST CSS ESDO RIC RRF SKS BANGLADESH

HASIL OUTPUT SPSS. Reliability Scale: ALL VARIABLES

HASIL OUTPUT SPSS. Reliability Scale: ALL VARIABLES 139 HASIL OUTPUT SPSS Reliability Scale: ALL VARIABLES Case Processing Summary N % 100 100.0 Cases Excluded a 0.0 Total 100 100.0 a. Listwise deletion based on all variables in the procedure. Reliability

More information

Issue 12. micrometer. data as of 31 st December 2014

Issue 12. micrometer. data as of 31 st December 2014 Issue 12 micrometer data as of 31 st December 2014 All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means without written permission from MFIN. However,

More information

Lampiran IV. Hasil Output SPSS Versi 16.0 untuk Analisis Deskriptif

Lampiran IV. Hasil Output SPSS Versi 16.0 untuk Analisis Deskriptif 182 Lampiran IV. Hasil Output SPSS Versi 16.0 untuk Analisis Deskriptif Frequencies Statistics Kinerja Guru Sikap Guru Thdp Kepsek Motivasi Kerja Guru Kompetensi Pedagogik Guru N Valid 64 64 64 64 Missing

More information

LAMPIRAN DAFTAR SAMPEL PENELITIAN. Kriteria No. Nama Perusahaan. Sampel Emiten

LAMPIRAN DAFTAR SAMPEL PENELITIAN. Kriteria No. Nama Perusahaan. Sampel Emiten LAMPIRAN DAFTAR SAMPEL PENELITIAN Kode Kriteria No. Nama Perusahaan Sampel Emiten 1 2 3 1. AGRO PT. Bank Agroniaga, Tbk 1 2. BABP PT. Bank ICB Bumiputera Indonesia, Tbk X - 3. BBCA PT. Bank Central Asia,

More information

Lampiran 1. Data Perusahaan

Lampiran 1. Data Perusahaan Lampiran. Data Perusahaan NO PERUSH MV EARN DIV CFO LB.USAHA TOT.ASS ACAP 3 9 8 5 369 9678 376 ADES 75-35 - 6 3559-5977 7358 3 AQUA 5 368 65 335 797 678 53597 BATA 88 5 9 863 958 93 5 BKSL 5.3 -. 9-9 5

More information

LAMPIRAN I Data Perusahaan Sampel kode DPS EPS Ekuitas akpi ,97 51,04 40,

LAMPIRAN I Data Perusahaan Sampel kode DPS EPS Ekuitas akpi ,97 51,04 40, LAMPIRAN I Data Perusahaan Sampel kode DPS EPS Ekuitas 2013 2014 2015 2013 2014 2015 2013 2014 2015 akpi 34 8 9 50,97 51,04 40,67 1.029.336.000.000 1.035.846.000.000 1.107.566.000.000 asii 216 216 177

More information

DATA SAMPEL TAHUN 2006

DATA SAMPEL TAHUN 2006 DATA SAMPEL TAHUN 2006 No Nama Emiten CGPI Kode Saham Harga Saham EPS PER Laba Bersih 1 Bank Niaga 89.27 BNGA 920 54 17.02 647,732 2 Bank Mandiri 83.66 BMRI 2,900 118 24.65 2,422,472 3 Astra International

More information

Universitas Sumatera Utara

Universitas Sumatera Utara LAMPIRAN I LAMPRIAN PDRB Harga Berlaku NO KAB/KOTA 2005 2006 2007 2008 2009 2010 1 Asahan 15527794210 6429147880 8174125380 9505603030 10435935630 11931676610 2 Dairi 2303591460 2552751860 2860204810 3116742540

More information

. Enter. Model Summary b. Std. Error. of the. Estimate. Change. a. Predictors: (Constant), Emphaty, reliability, Assurance, responsive, Tangible

. Enter. Model Summary b. Std. Error. of the. Estimate. Change. a. Predictors: (Constant), Emphaty, reliability, Assurance, responsive, Tangible LAMPIRAN Variables Entered/Removed b Variables Model Variables Entered Removed Method 1 Emphaty, reliability, Assurance, responsive, Tangible a. Enter a. All requested variables entered. b. Dependent Variable:

More information

CHAPTER V CONCLUSION, SUGGESTION AND LIMITATION. 1. Independent commissioner boards proportion does not negatively affect

CHAPTER V CONCLUSION, SUGGESTION AND LIMITATION. 1. Independent commissioner boards proportion does not negatively affect CHAPTER V CONCLUSION, SUGGESTION AND LIMITATION 5.. Conclusion Based on data analysis that has been done, researcher may draw following conclusions:. Independent commissioner boards proportion does not

More information

LAMPIRAN A. Tabulasi Data Perusahaan Sample

LAMPIRAN A. Tabulasi Data Perusahaan Sample LAMPIRAN A Tabulasi Data Perusahaan Sample Current Ratio (%) NO Kode Emiten Nama Perusahaan ASII Astra International Tbk. 2 AUTO Astra Otoparts Tbk. 3 BATA Sepatu Bata Tbk. 4 BRAM Indo Kordsa Tbk 5 BRNA

More information

Important Formulas. Discrete Probability Distributions. Probability and Counting Rules. The Normal Distribution. Confidence Intervals and Sample Size

Important Formulas. Discrete Probability Distributions. Probability and Counting Rules. The Normal Distribution. Confidence Intervals and Sample Size blu38582_if_1-8.qxd 9/27/10 9:19 PM Page 1 Important Formulas Chapter 3 Data Description Mean for individual data: Mean for grouped data: Standard deviation for a sample: X2 s X n 1 or Standard deviation

More information

DATA PENELITIAN 1. CAR CAR (%)

DATA PENELITIAN 1. CAR CAR (%) DATA PENELITIAN. CAR No. Tahun Nama Bank CAR (%) Arta Niaga Kencana 2,8 2 Artha Graha 0,58 3 Asiatic -9,9 4 Danpac 25,74 5 Global International 42, 6 Harmoni 7,47 7 IFI 22,62 8 Bukopin 20,37 9 International

More information

LAMPIRAN 1. Lampiran Nama dan Kondisi Perusahaan Textile No Kode Nama Perusahaan Hasil z-score FD Non-FD

LAMPIRAN 1. Lampiran Nama dan Kondisi Perusahaan Textile No Kode Nama Perusahaan Hasil z-score FD Non-FD 87 LAMPIRAN 1. Lampiran Nama dan Kondisi Perusahaan Textile 2010-2014 No Kode Nama Perusahaan Hasil z-score FD Non-FD 1 ADMG PT Polychem Indonesia Tbk 1,39 1 2 ARGO PT Argo Pantes Tbk 0,93 1 3 CTNX PT

More information

Industry Classification/Stock Name

Industry Classification/Stock Name Lampiran 1 : Data Perusahaan Sampel Industry Classification/Stock Name 1. AGRICULTURE Plantation 1 AALI Astra Argo Lestari Tbk (S) 2 LSIP PP London Sumatera Tbk (S) 3 SGRO Sampoerna Agro Tbk (S) 4 SMAR

More information

TRY OUT 25 Responden Variabel Kepuasan / x1

TRY OUT 25 Responden Variabel Kepuasan / x1 1 TRY OUT 25 Responden Variabel Kepuasan / x1 Case Processing Summary N % 25 100.0 Cases Excluded a 0.0 Total 25 100.0 a. Listwise deletion based on all variables in the procedure. Reliability Statistics

More information

Data Nama Perusahaan Perbankan Yang Terdaftar Di BEI.

Data Nama Perusahaan Perbankan Yang Terdaftar Di BEI. LAMPIRAN Lampiran 1 Data Nama Perusahaan Perbankan Yang Terdaftar Di BEI. No Kode Perusahaan Nama Perusahaan 1 AGRO Bank Rakyat Indonesia Agroniaga Tbk 2 BMRI Bank Mandiri (Persero) Tbk 3 BMAS PT Bank

More information

Lampiran i Jadwal Penelitian

Lampiran i Jadwal Penelitian Lampiran i Jadwal Penelitian Tahap penelitian Juni Juli Agust Sept Oktb Pengajuan Judul Penyetujuan proposal Penyelesain proposal Bimbingan skripisi 81 Lampiran i (lanjutan) Daftar Sampel Perusahaan Manufaktur

More information

Daftar Sampel Perusahaan

Daftar Sampel Perusahaan Lampiran i Daftar Sampel Perusahaan NAMA PERUSAHAAN PT. Bank Bukopin Tbk PT. Bank Bumi Arta Tbk PT. Bank Central Asia Tbk PT. Bank CIMB Niaga Tbk PT. Bank Danamon Indonesia Tbk PT. Bank Ekonomi Raharja

More information

Appendix B STATISTICAL TABLES OVERVIEW

Appendix B STATISTICAL TABLES OVERVIEW Appendix B STATISTICAL TABLES OVERVIEW Table B.1: Proportions of the Area Under the Normal Curve Table B.2: 1200 Two-Digit Random Numbers Table B.3: Critical Values for Student s t-test Table B.4: Power

More information

Rata-Rata Nilai Debt to Equity Ratio (DER) Perusahaan Otomotif yang 0, ,97 0, ,44 1,9 1,6 1,4 1,7 1,65

Rata-Rata Nilai Debt to Equity Ratio (DER) Perusahaan Otomotif yang 0, ,97 0, ,44 1,9 1,6 1,4 1,7 1,65 Lampiran I Rata-Rata Nilai Debt to Equity Ratio (DER) Perusahaan Otomotif yang Terdaftar di Bursa Efek Indonesia Periode 2010-2013 DER No Kode Nama perusahaan 2010 2011 2012 2013 Rata-rata 1. ASII PT Astra

More information

Análisis de la varianza (II)

Análisis de la varianza (II) 01:43 Thursday, March 10, 2011 1 AGRO 6005 Análisis de la varianza (II) 1. Evaluación de supuestos. Los siguientes datos son recuentos de un áfido en trigo en 6 semanas diferentes. En cada ocasión se muestrearon

More information

UJI VALIDITAS DAN RELIABILIAS VARIABEL KOMPENSASI

UJI VALIDITAS DAN RELIABILIAS VARIABEL KOMPENSASI 1 UJI VALIDITAS DAN RELIABILIAS VARIABEL KOMPENSASI Case Processing Summary N % 20 100.0 Cases Excluded a 0.0 Total 20 100.0 a. Listwise deletion based on all variables in the procedure. Reliability Statistics

More information

LAMPIRAN. Lampiran 1 Data Sampel Penelitian

LAMPIRAN. Lampiran 1 Data Sampel Penelitian LAMPIRAN Lampiran Data Sampel Penelitian Variabel Karakteristik Auditor pada Perusahaan Sampel Ukuran KAP No Kode 2 2 22 23 (Aryanto, Amir AGRO Jusuf, Mawar & Saptoto) 2 BABP 3 BACA 4 BAEK 5 BBCA 6 BBKP

More information

Item

Item Key Indicators for Asia and the Pacific 2010 POPULATION a Total population million; as of 1 July 18.17 18.55 18.93 19.33 19.73 20.14 20.56 20.99 21.42 21.87 22.32 22.79 23.30 23.82 24.36 24.91 25.47 26.04

More information

TRY OUT 30 Responden Variabel Kompetensi/ x1

TRY OUT 30 Responden Variabel Kompetensi/ x1 1 TRY OUT 30 Responden Variabel Kompetensi/ x1 Case Processing Summary N % 30 100.0 Cases Excluded a 0.0 Total 30 100.0 a. Listwise deletion based on all variables in the procedure. Reliability Statistics

More information

FY 2010 Results. Jakarta, 28 February 2011

FY 2010 Results. Jakarta, 28 February 2011 FY 2010 Results Jakarta, 28 February 2011 Table of Contents FY 2010 Results Do Good 2010 Company Update Executive Summary Loans grew 48% Customer Deposits grew 38%; Total Funding (incl. Bond) grew 50%

More information

Statistical tables S 0. Money and banking. Capital market. National financial account. Public finance

Statistical tables S 0. Money and banking. Capital market. National financial account. Public finance Statistical tables Money and banking Page S South African Reserve Bank: Liabilities... 2 South African Reserve Bank: Assets... 3 Corporation for Public Deposits: Liabilities... 4 Corporation for Public

More information

Statistical tables S 0. Money and banking. Capital market. National financial account. Public finance

Statistical tables S 0. Money and banking. Capital market. National financial account. Public finance Statistical tables Money and banking Page S South African Reserve Bank: Liabilities... 2 South African Reserve Bank: Assets... 3 Corporation for Public Deposits: Liabilities... 4 Corporation for Public

More information

ECONOMIC BULLETIN - No. 42, MARCH Statistical tables

ECONOMIC BULLETIN - No. 42, MARCH Statistical tables ECONOMIC BULLETIN - No. 42, MARCH 2006 APPENDIX Appendix Statistical tables The world economy Table a1 Gross domestic product a2 Industrial production a3 Consumer prices a4 External current account a5

More information

CREDIT UNION ESTIMATES

CREDIT UNION ESTIMATES MONTHLY CREDIT UNION ESTIMATES Prepared June 1, 2018 by Credit Union National Association Economics and Statistics Department cuna.org/mcue Loans Credit union loans outstanding grew 1.1% in, matching the

More information

CREDIT UNION ESTIMATES

CREDIT UNION ESTIMATES MONTHLY CREDIT UNION ESTIMATES Prepared November 1, 2017 by Credit Union National Association Economics and Statistics Department cuna.org/mcue Loans Credit union loans outstanding grew 0.7% in, compared

More information

CREDIT UNION ESTIMATES

CREDIT UNION ESTIMATES MONTHLY CREDIT UNION ESTIMATES Prepared September 28, 2018 by Credit Union National Association Economics and Statistics Department cuna.org/mcue Loans Credit union loans outstanding grew 1.0% in, compared

More information

CREDIT UNION ESTIMATES

CREDIT UNION ESTIMATES MONTHLY CREDIT UNION ESTIMATES Prepared July 2, 2018 by Credit Union National Association Economics and Statistics Department cuna.org/mcue Loans Credit union loans outstanding grew 1.3% in, compared to

More information

CREDIT UNION ESTIMATES

CREDIT UNION ESTIMATES MONTHLY CREDIT UNION ESTIMATES Prepared May 1, 2018 by Credit Union National Association Economics and Statistics Department cuna.org/mcue Loans Credit union loans outstanding grew 1.1% in, compared to

More information

CREDIT UNION ESTIMATES

CREDIT UNION ESTIMATES MONTHLY CREDIT UNION ESTIMATES Prepared September 4, 2018 by Credit Union National Association Economics and Statistics Department cuna.org/mcue Loans Credit union loans outstanding grew 1.1% in, compared

More information

CREDIT UNION ESTIMATES

CREDIT UNION ESTIMATES MONTHLY CREDIT UNION ESTIMATES Prepared March 4, 2019 by Credit Union National Association Economics and Statistics Department cuna.org/mcue Loans Credit union loans outstanding grew 0.3% in January, compared

More information

CREDIT UNION ESTIMATES

CREDIT UNION ESTIMATES MONTHLY CREDIT UNION ESTIMATES Prepared August 1, 2018 by Credit Union National Association Economics and Statistics Department cuna.org/mcue Loans Credit union loans outstanding grew 1.3% in, matching

More information

CREDIT UNION ESTIMATES

CREDIT UNION ESTIMATES MONTHLY CREDIT UNION ESTIMATES Prepared March 2, 2018 by Credit Union National Association Economics and Statistics Department cuna.org/mcue Loans Credit union loans outstanding grew 0.7% in, compared

More information

CREDIT UNION ESTIMATES

CREDIT UNION ESTIMATES MONTHLY CREDIT UNION ESTIMATES Prepared February 1, 2018 by Credit Union National Association Economics and Statistics Department cuna.org/mcue Loans Credit union loans outstanding grew 1.0% in, compared

More information

CREDIT UNION ESTIMATES

CREDIT UNION ESTIMATES MONTHLY CREDIT UNION ESTIMATES Prepared January 2, 2019 by Credit Union National Association Economics and Statistics Department cuna.org/mcue Loans Credit union loans outstanding grew 0.6% in, compared

More information

Perusahaan Consumer Goods yang Terdaftar di BEI ( ) Nama Perusahaan Perusahaan 1

Perusahaan Consumer Goods yang Terdaftar di BEI ( ) Nama Perusahaan Perusahaan 1 LAMPIRAN 1 Perusahaan Consumer Goods yang Terdaftar di BEI (2010-2012) No. Sub Sektor Kode Nama Perusahaan Perusahaan 1 ADES Akasha Wira Internasional Tbk 2 AISA Tiga Pilar Sejahtera Food Tbk 3 ALTO Tri

More information

Money and banking. Flow of funds for the third quarter

Money and banking. Flow of funds for the third quarter Statistical tables Money and banking Page S South African Reserve Bank: Liabilities... 2 South African Reserve Bank: Assets... 3 Corporation for Public Deposits: Liabilities... 4 Corporation for Public

More information

Daftar Perusahaan Real Estate dan Property

Daftar Perusahaan Real Estate dan Property Lampiran 1 Daftar Perusahaan Real Estate dan Property Kriteria No Kode Nama Perusahaan 1 2 3 Sampel 1 APLN Agung Podomoro Land Tbk 2 ASRI Alam Sutera Realty Tbk 1 3 ELTY Bakrieland Development Tbk 4 BAPA

More information

Lampiran 1. Daftar Sampel Perusahaan

Lampiran 1. Daftar Sampel Perusahaan Lampiran 1. Daftar Sampel Perusahaan NO. KODE NAMA PERUSAHAAN 1 ARNA Arwana Citramulia Tbk. 2 ASII Astra Internastional Tbk. 3 AUTO Astra otoparts Tbk. 4 BTON Betonjaya Manunggal Tbk 5 DVLA Darya-Varia

More information

Federated States of Micronesia

Federated States of Micronesia IMF Country Report No. 13/17 Federated States of Micronesia 2012 ARTICLE IV CONSULTATION 2012 Statistical Appendix January 29, 2001 January 29, 2001 This Statistical Appendix paper for the Federated States

More information

Using Statistics To Make Inferences 6. Wilcoxon Matched Pairs Signed Ranks Test. Wilcoxon Rank Sum Test/ Mann-Whitney Test

Using Statistics To Make Inferences 6. Wilcoxon Matched Pairs Signed Ranks Test. Wilcoxon Rank Sum Test/ Mann-Whitney Test Using Statistics To Make Inferences 6 Summary Non-parametric tests Wilcoxon Signed Ranks Test Wilcoxon Matched Pairs Signed Ranks Test Wilcoxon Rank Sum Test/ Mann-Whitney Test Goals Perform and interpret

More information

fruitfly fecundity example summary Tuesday, July 17, :13:19 PM 1

fruitfly fecundity example summary Tuesday, July 17, :13:19 PM 1 fruitfly fecundity example summary Tuesday, July 17, 2018 02:13:19 PM 1 The UNIVARIATE Procedure Variable: fecund line = NS Basic Statistical Measures Location Variability Mean 33.37200 Std Deviation 8.94201

More information

ECONOMIC SURVEY STATISTICAL APPENDIX

ECONOMIC SURVEY STATISTICAL APPENDIX ECONOMIC SURVEY 2017-18 STATISTICAL APPENDIX STATISTICAL APPENDIX : ECONOMIC SURVEY 2017-18 PAGE 1 National Income and Production 1.1 Gross National Income and Net National Income... A1-A2 1.2 Annual

More information

Part C. Statistics Bank of Botswana

Part C. Statistics Bank of Botswana Part C Statistics 2017 Bank of Botswana Contents Part C Part C: Statistics 1. NATIONAL OUTPUT TABLE 1.1 Gross Domestic Product by Type of Expenditure (Current Prices) S6 TABLE 1.2 Gross Domestic Product

More information

LAMPIRAN 1 : DAFTAR PERUSAHAAN SAMPEL PERIODE

LAMPIRAN 1 : DAFTAR PERUSAHAAN SAMPEL PERIODE 69 LAMPIRAN 1 : DAFTAR PERUSAHAAN SAMPEL PERIODE 2008-2010 No Kode Nama Perusahaan 1 AISA PT Tiga Pilar Sejahtera Food Tbk 2 ARNA PT Arwana Citramulia Tbk 3 ASII PT Astra International Tbk 4 AUTO PT Astra

More information

Table 1 ANTIGUA AND BARBUDA: MAIN ECONOMIC INDICATORS

Table 1 ANTIGUA AND BARBUDA: MAIN ECONOMIC INDICATORS Antigua Tables 2006 1 Main Indicators 03/11/2006 08:05 AM Table 1 ANTIGUA AND BARBUDA: MAIN ECONOMIC INDICATORS 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 a/ Annual growth rates b/ Gross domestic

More information

Item

Item Key Indicators for Asia and the Pacific 2009 POPULATION Total population a thousand; as of 1 July 295 305 316 328 340 353 366 380 394 409 420 432 444 457 470 483 496 510 524 Population density persons

More information

The PRINCOMP Procedure

The PRINCOMP Procedure Grizzly Bear Project - Coastal Sites - invci 15:14 Friday, June 11, 2010 1 Food production variables The PRINCOMP Procedure Observations 16 Variables 4 Simple Statistics PRECIP ndvi aet temp Mean 260.8102476

More information

Antonio Olmos Priyalatha Govindasamy Research Methods & Statistics University of Denver

Antonio Olmos Priyalatha Govindasamy Research Methods & Statistics University of Denver Antonio Olmos Priyalatha Govindasamy Research Methods & Statistics University of Denver American Evaluation Association Conference, Chicago, Ill, November 2015 AEA 2015, Chicago Ill 1 Paper overview Propensity

More information

Daftar Sampel Perusahaan Pertambangan. 4 BORN Borneo Lumbung Energy & Metal, Tbk

Daftar Sampel Perusahaan Pertambangan. 4 BORN Borneo Lumbung Energy & Metal, Tbk Lampiran i Daftar Sampel Perusahaan Daftar Sampel Perusahaan Pertambangan No Kode Sampel 1 ADRO Adaro Energy, Tbk 2 ANTM Aneka Tambang (Persero), Tbk 3 ATPK ATPK Resources, Tbk 4 BORN Borneo Lumbung Energy

More information

Drilling Example: Diagnostic Plots

Drilling Example: Diagnostic Plots Math 3080 1. Treibergs Drilling Example: Diagnostic Plots Name: Example March 1, 2014 This data is taken from Penner & Watts, Mining Information, American Statistician 1991, as quoted by Levine, Ramsey

More information

EXST7034 Multiple Regression Geaghan Chapter 11 Bootstrapping (Toluca example) Page 1

EXST7034 Multiple Regression Geaghan Chapter 11 Bootstrapping (Toluca example) Page 1 Chapter 11 Bootstrapping (Toluca example) Page 1 Toluca Company Example (Problem from Neter, Kutner, Nachtsheim & Wasserman 1996,1.21) A particular part needed for refigeration equipment replacement parts

More information

Item

Item 332 Key Indicators of Developing Asian and Pacific Countries 333 001 POPULATION million; as of 1 July 47.72 48.71 49.68 50.64 51.58 52.51 53.43 54.33 55.21 55.84 56.57 57.29 58.01 58.71 59.40 60.00 60.60

More information

Derivative Valuation and GASB 53 Compliance Report For the Period Ending September 30, 2015

Derivative Valuation and GASB 53 Compliance Report For the Period Ending September 30, 2015 Derivative Valuation and GASB 53 Compliance Report For the Period Ending September 30, 2015 Prepared On Behalf Of Broward County, Florida October 9, 2015 BLX Group LLC 777 S. Figueroa Street, Suite 3200

More information

Linking the Alaska AMP Assessments to NWEA MAP Tests

Linking the Alaska AMP Assessments to NWEA MAP Tests Linking the Alaska AMP Assessments to NWEA MAP Tests February 2016 Introduction Northwest Evaluation Association (NWEA ) is committed to providing partners with useful tools to help make inferences from

More information

Regression Models Course Project, 2016

Regression Models Course Project, 2016 Regression Models Course Project, 2016 Venkat Batchu July 13, 2016 Executive Summary In this report, mtcars data set is explored/analyzed for relationship between outcome variable mpg (miles for gallon)

More information

From Developing Credit Risk Models Using SAS Enterprise Miner and SAS/STAT. Full book available for purchase here.

From Developing Credit Risk Models Using SAS Enterprise Miner and SAS/STAT. Full book available for purchase here. From Developing Credit Risk Models Using SAS Enterprise Miner and SAS/STAT. Full book available for purchase here. About this Book... ix About the Author... xiii Acknowledgments...xv Chapter 1 Introduction...

More information

Linking the Mississippi Assessment Program to NWEA MAP Tests

Linking the Mississippi Assessment Program to NWEA MAP Tests Linking the Mississippi Assessment Program to NWEA MAP Tests February 2017 Introduction Northwest Evaluation Association (NWEA ) is committed to providing partners with useful tools to help make inferences

More information

Stat 301 Lecture 30. Model Selection. Explanatory Variables. A Good Model. Response: Highway MPG Explanatory: 13 explanatory variables

Stat 301 Lecture 30. Model Selection. Explanatory Variables. A Good Model. Response: Highway MPG Explanatory: 13 explanatory variables Model Selection Response: Highway MPG Explanatory: 13 explanatory variables Indicator variables for types of car Sports Car, SUV, Wagon, Minivan 1 Explanatory Variables Engine size (liters) Cylinders (number)

More information

Linking the Florida Standards Assessments (FSA) to NWEA MAP

Linking the Florida Standards Assessments (FSA) to NWEA MAP Linking the Florida Standards Assessments (FSA) to NWEA MAP October 2016 Introduction Northwest Evaluation Association (NWEA ) is committed to providing partners with useful tools to help make inferences

More information

Linking the Indiana ISTEP+ Assessments to NWEA MAP Tests

Linking the Indiana ISTEP+ Assessments to NWEA MAP Tests Linking the Indiana ISTEP+ Assessments to NWEA MAP Tests February 2017 Introduction Northwest Evaluation Association (NWEA ) is committed to providing partners with useful tools to help make inferences

More information

MODUL PELATIHAN SEM ANANDA SABIL HUSSEIN, PHD

MODUL PELATIHAN SEM ANANDA SABIL HUSSEIN, PHD MODUL PELATIHAN SEM ANANDA SABIL HUSSEIN, PHD PUSAT KAJIAN DAN PENGABDIAN MASYARAKAT JURUSAN MANAJEMEN UNIVERSITAS BRAWIJAYA 2018 1) 2) ANALISA JALUR 1) LMK = 27,209 3,599IPK + 1,749 x 10-7 US + 0,019JR

More information

Team project 2017 Dony Pratidana S. Hum Bima Agus Setyawan S. IIP

Team project 2017 Dony Pratidana S. Hum Bima Agus Setyawan S. IIP Hak cipta dan penggunaan kembali: Lisensi ini mengizinkan setiap orang untuk menggubah, memperbaiki, dan membuat ciptaan turunan bukan untuk kepentingan komersial, selama anda mencantumkan nama penulis

More information

Lampiran 1 DAFTAR PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN (Menyajikan Laporan Keuangan Secara Berturut-turut)

Lampiran 1 DAFTAR PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN (Menyajikan Laporan Keuangan Secara Berturut-turut) Lampiran 1 DAFTAR PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2014-2016 (Menyajikan Laporan Keuangan Secara Berturut-turut) NO KODE NAMA PERUSAHAAN 1 ALKA PT ALASKA INDONESIA TBK

More information

Linking the Virginia SOL Assessments to NWEA MAP Growth Tests *

Linking the Virginia SOL Assessments to NWEA MAP Growth Tests * Linking the Virginia SOL Assessments to NWEA MAP Growth Tests * *As of June 2017 Measures of Academic Progress (MAP ) is known as MAP Growth. March 2016 Introduction Northwest Evaluation Association (NWEA

More information

1Q17 Highlights. +22%YoY. Officially Launched. PT Maxnitron. Sales Volume 821 Liters 6.1 1,436. Million Members. Stations

1Q17 Highlights. +22%YoY. Officially Launched. PT Maxnitron. Sales Volume 821 Liters 6.1 1,436. Million Members. Stations 1Q17 Highlights +22%YoY Sales Volume 821 Liters 6.1 Million Members Officially Launched PT Maxnitron 1,436 Stations Agenda Industry Outlook Business Performance Project Update Financial Performance Thailand

More information

: ( .

: ( . 2 27 ( ) 2 3 4 2 ( ) 59 Y n n U i ( ) & smith H 98 Draper N Curran PJ,bauer DJ & Willoughby Kam,Cindy &Robert 23 MT24 Jaccard,J & Rebert T23 Franzese 23 Aiken LS & West SG 99 " Multiple Regression Testing

More information

P T G E N E R G Y P C L F I S C A L Y E A R 2017 R E S U L T S O P P O R T U N I T Y D A Y - M a r 8 th, 2018

P T G E N E R G Y P C L F I S C A L Y E A R 2017 R E S U L T S O P P O R T U N I T Y D A Y - M a r 8 th, 2018 P T G E N E R G Y P C L F I S C A L Y E A R 2017 R E S U L T S O P P O R T U N I T Y D A Y - M a r 8 th, 2018 1 A G E N D A 2 0 1 8 O U T L O O K 2 0 1 7 O V E R V I E W 2 0 1 7 F I N A N C I A L PERFORMANCE

More information

BRUNEI DARUSSALAM. Copies of this report are available to the public from

BRUNEI DARUSSALAM. Copies of this report are available to the public from IMF Country Report No. 16/310 September 2016 BRUNEI DARUSSALAM STATISTICAL APPENDIX This Statistical Appendix on Brunei Darussalam was prepared by a staff team of the International Monetary Fund. It is

More information

State Bank of India PRESS RELEASE

State Bank of India PRESS RELEASE State Bank of India PRESS RELEASE Q2FY18 / H1FY18 RESULTS Note: Historical Data has been arrived at by aggregating the audited numbers of the erstwhile Associate Banks, Bharatiya Mahila Bank and SBI for

More information

STATISTICAL TABLES RELATING TO INCOME, EMPLOYMENT, AND PRODUCTION

STATISTICAL TABLES RELATING TO INCOME, EMPLOYMENT, AND PRODUCTION A P P E N D I X B STATISTICAL TABLES RELATING TO INCOME, EMPLOYMENT, AND PRODUCTION C O N T E N T S NATIONAL INCOME OR EXPENDITURE Page B 1. Gross domestic product, 1960 2009... 328 B 2. Real gross domestic

More information

KCB GROUP PLC INVESTOR PRESENTATION. Q FINANCIAL RESULTS

KCB GROUP PLC INVESTOR PRESENTATION. Q FINANCIAL RESULTS KCB GROUP PLC INVESTOR PRESENTATION. Q3 2018 FINANCIAL RESULTS MACRO-ECONOMIC HIGHLIGHTS Macro-Economic Highlights: Kenya KENYA 4.9% 5.3% GDP Growth Rate (%) 5.6% 5.8% 4.9% 6.3% 6.2% KENYA 2013 2014 2015

More information

LAMPIRAN I FORMULIR SURVEI

LAMPIRAN I FORMULIR SURVEI LAMPIRAN I FORMULIR SURVEI 56 Universitas Kristen Maranatha L.1.1 FORMULIR SURVEI KEBISINGAN LALULINTAS Lokasi : Cuaca : Hari/Tanggal : Surveyor : Periode / menit 5 10 15 20 25 30 35 40 45 50 55 60 65

More information

Success Story Scaling Up Energy Efficiency An Indian Experience

Success Story Scaling Up Energy Efficiency An Indian Experience ASIA CLEAN ENERGY FORUM 2017 Success Story Scaling Up Energy Efficiency An Indian Experience Nitin Bhatt Regional Manager - UJALA Energy Efficiency Services Ltd. (EESL), India Largest ESCO in the world

More information

female male help("predict") yhat age

female male help(predict) yhat age 30 40 50 60 70 female male 1.0 help("predict") 0.5 yhat 0.0 0.5 1.0 30 40 50 60 70 age 30 40 50 60 70 1.5 1.0 female male help("predict") 0.5 yhat 0.0 0.5 1.0 1.5 30 40 50 60 70 age 2 Wald Statistics Response:

More information

Appendix B STATISTICAL TABLES RELATING TO INCOME, EMPLOYMENT, AND PRODUCTION

Appendix B STATISTICAL TABLES RELATING TO INCOME, EMPLOYMENT, AND PRODUCTION Appendix B STATISTICAL TABLES RELATING TO INCOME, EMPLOYMENT, AND PRODUCTION C O N T E N T S Page NATIONAL INCOME OR EXPENDITURE: B. Gross domestic product, 959 005... 80 B. Real gross domestic product,

More information

Self Managing Conflict Resolution for Autonomous Taxiing Tugs: An Initial Survey

Self Managing Conflict Resolution for Autonomous Taxiing Tugs: An Initial Survey Self Managing Conflict Resolution for Autonomous Taxiing Tugs: An Initial Survey Zarrin Chua Institut Supérieur de l Aéronautique et de l Espace SUPAERO 1 December 2015 Image: http://www.decideursenregion.fr/loire

More information

Reliability and Validity of Seat Interface Pressure to Quantify Seating Comfort in Motorcycles

Reliability and Validity of Seat Interface Pressure to Quantify Seating Comfort in Motorcycles Reliability and Validity of Seat Interface Pressure to Quantify Seating Comfort in Motorcycles Sai Praveen Velagapudi a,b, Ray G. G b a Research & Development, TVS Motor Company, INDIA; b Industrial Design

More information

PTG ENERGY PUBLIC COMPANY LIMITED. Opportunity Day. 2Q/2017 Performance Results

PTG ENERGY PUBLIC COMPANY LIMITED. Opportunity Day. 2Q/2017 Performance Results PTG ENERGY PUBLIC COMPANY LIMITED Opportunity Day 2Q/2017 Performance Results PTG Businesses Retailing and Wholesaling Fuel Products Non-Fuel Products Logistics Business (Fuel logistics and Depot) Renewable

More information

Getting Started with Correlated Component Regression (CCR) in XLSTAT-CCR

Getting Started with Correlated Component Regression (CCR) in XLSTAT-CCR Tutorial 1 Getting Started with Correlated Component Regression (CCR) in XLSTAT-CCR Dataset for running Correlated Component Regression This tutorial 1 is based on data provided by Michel Tenenhaus and

More information

Money and banking. Flow of funds for the first quarter

Money and banking. Flow of funds for the first quarter Statistical tables Money and banking Page S South African Reserve Bank: Liabilities... 2 South African Reserve Bank: Assets... 3 Corporation for Public Deposits: Liabilities... 4 Corporation for Public

More information

DO GOOD DO WELL. 1H 2011 Results. July 2011

DO GOOD DO WELL. 1H 2011 Results. July 2011 DO GOOD DO WELL 1H 2011 Results July 2011 Table of Contents 1H 2011 Results New CSR Platform Executive Summary Good Growth Momentum: Loans: 15% Funding*: 18% Ample Liquidity to fund Loans growth: LDR:

More information

FINANCIAL PERFORMANCE OF TWO WHEELER INDUSTRY IN INDIA

FINANCIAL PERFORMANCE OF TWO WHEELER INDUSTRY IN INDIA I J A B E R, Vol. 14, No. 6, (2016): 3607-3621 FINANCIAL PERFORMANCE OF TWO WHEELER INDUSTRY IN INDIA A. Aparna * Abstract: Over the past many years, two wheelers have been garnering an important space

More information

Conférence d Automne - Cheuvreux. Paris, September 26 th, 2011

Conférence d Automne - Cheuvreux. Paris, September 26 th, 2011 Conférence d Automne - Cheuvreux Paris, September 26 th, 2011 This presentation may contain forward-looking statements. Such forward-looking statements do not constitute forecasts regarding the Company

More information

BAYPORT SECURITISATION (RF) LTD INVESTOR REPORT JULY 2018

BAYPORT SECURITISATION (RF) LTD INVESTOR REPORT JULY 2018 BAYPORT SECURITISATION (RF) LTD INVESTOR REPORT JULY 2018 Note: This report has been prepared in accordance with IFRS 9. Financial statistics for the period ended July 2018 Jul 18 June 18 May 18 Apr 18

More information

Stat 401 B Lecture 31

Stat 401 B Lecture 31 Model Selection Response: Highway MPG Explanatory: 13 explanatory variables Indicator variables for types of car Sports Car, SUV, Wagon, Minivan 1 Explanatory Variables Engine size (liters) Cylinders (number)

More information

namibia UniVERSITY OF SCIEnCE AnD TECHnOLOGY FACULTY OF HEALTH AND APPLIED SCIENCES DEPARTMENT OF MATHEMATICS AND STATISTICS MARKS: 100

namibia UniVERSITY OF SCIEnCE AnD TECHnOLOGY FACULTY OF HEALTH AND APPLIED SCIENCES DEPARTMENT OF MATHEMATICS AND STATISTICS MARKS: 100 namibia UniVERSITY OF SCIEnCE AnD TECHnOLOGY FACULTY OF HEALTH AND APPLIED SCIENCES DEPARTMENT OF MATHEMATICS AND STATISTICS QUALIFICATION: BACHELOR OF ECONOMICS -., QUALIFICATION CODE: 7BAMS LEVEL: 7

More information

BAYPORT SECURITISATION (RF) LTD INVESTOR REPORT AUGUST 2018

BAYPORT SECURITISATION (RF) LTD INVESTOR REPORT AUGUST 2018 BAYPORT SECURITISATION (RF) LTD INVESTOR REPORT AUGUST 2018 0 Note: This report has been prepared in accordance with IFRS 9. Financial statistics for the period ended August 2018 Aug 18 Jul 18 June 18

More information

Motor Trend Yvette Winton September 1, 2016

Motor Trend Yvette Winton September 1, 2016 Motor Trend Yvette Winton September 1, 2016 Executive Summary Objective In this analysis, the relationship between a set of variables and miles per gallon (MPG) (outcome) is explored from a data set of

More information

BIMB Holdings Berhad - Strategy, SWOT and Corporate Finance Report

BIMB Holdings Berhad - Strategy, SWOT and Corporate Finance Report BIMB Holdings Berhad - Strategy, SWOT and Corporate Finance Report BIMB Holdings Berhad - Strategy, SWOT and Corporate Finance Report The Business Research Store is run by Sector Publishing Intelligence

More information

5. CONSTRUCTION OF THE WEIGHT-FOR-LENGTH AND WEIGHT-FOR- HEIGHT STANDARDS

5. CONSTRUCTION OF THE WEIGHT-FOR-LENGTH AND WEIGHT-FOR- HEIGHT STANDARDS 5. CONSTRUCTION OF THE WEIGHT-FOR-LENGTH AND WEIGHT-FOR- HEIGHT STANDARDS 5.1 Indicator-specific methodology The construction of the weight-for-length (45 to 110 cm) and weight-for-height (65 to 120 cm)

More information

FY First Half Results. Investor Presentation

FY First Half Results. Investor Presentation FY 2011-12 First Half Results Investor Presentation Performance Highlights Q2FY12 H1FY12 Net Profit 25% YOY 26% YOY Net Interest Income 24% YOY 19% YOY Fee Income 32% YOY 37% YOY Operating Revenue 22%

More information

EMPIRICAL ANALYSIS ON ROAD TRAFFIC CRASHES IN ANAMBRA STATE, NIGERIA: ACCIDENT PREDICTION MODELING USING REGRESSION APPROACH

EMPIRICAL ANALYSIS ON ROAD TRAFFIC CRASHES IN ANAMBRA STATE, NIGERIA: ACCIDENT PREDICTION MODELING USING REGRESSION APPROACH EMPIRICAL ANALYSIS ON ROAD TRAFFIC CRASHES IN ANAMBRA STATE, NIGERIA: ACCIDENT PREDICTION MODELING USING REGRESSION APPROACH Obubu M a*, Konwe C.S b, Nwabenu D.C c, Omokri Peter A d, Chijioke M e a Department

More information

DEPARTMENT OF STATISTICS AND DEMOGRAPHY MAIN EXAMINATION, 2011/12 STATISTICAL INFERENCE II ST232 TWO (2) HOURS. ANSWER ANY mree QUESTIONS

DEPARTMENT OF STATISTICS AND DEMOGRAPHY MAIN EXAMINATION, 2011/12 STATISTICAL INFERENCE II ST232 TWO (2) HOURS. ANSWER ANY mree QUESTIONS I.. UNIVERSITY OF SWAZILAND Page 1 of3 DEPARTMENT OF STATISTICS AND DEMOGRAPHY, MAIN EXAMINATION, 2011/12 COURSE TITLE: STATISTICAL INFERENCE II COURSE CODE: ST232 TIME ALLOWED: TWO (2) HOURS INSTRUCTION:

More information