UJI VALIDITAS DAN RELIABILIAS VARIABEL KOMPENSASI
|
|
- Dwayne Hensley
- 6 years ago
- Views:
Transcription
1 1 UJI VALIDITAS DAN RELIABILIAS VARIABEL KOMPENSASI Case Processing Summary N % Cases Excluded a 0.0 Total a. Listwise deletion based on all variables in the procedure. Reliability Statistics Cronbach's Alpha N of Items Item Statistics Mean Std. Deviation N X1_ X1_ X1_ X1_
2 2 Item-Total Statistics Scale Mean if Scale Variance Corrected Item- Cronbach's Item Deleted if Item Deleted Total Alpha if Item Correlation Deleted X1_ X1_ X1_ X1_
3 3 UJI VALIDITAS DAN RELIABILIAS VARIABEL DISIPLIN KERJA Case Processing Summary N % Cases Excluded a 0.0 Total a. Listwise deletion based on all variables in the procedure. Reliability Statistics Cronbach's Alpha N of Items Item Statistics Mean Std. Deviation N X2_ X2_ X2_ X2_
4 4 Item-Total Statistics Scale Mean if Scale Variance Corrected Item- Cronbach's Item Deleted if Item Deleted Total Alpha if Item Correlation Deleted X2_ X2_ X2_ X2_
5 5 UJI VALIDITAS DAN RELIABILIAS VARIABEL KONFLIK KERJA Case Processing Summary N % Cases Excluded a 0.0 Total a. Listwise deletion based on all variables in the procedure. Reliability Statistics Cronbach's Alpha N of Items Item Statistics Mean Std. Deviation N X3_ X3_ X3_ X3_
6 6 Item-Total Statistics Scale Mean if Scale Variance Corrected Item- Cronbach's Item Deleted if Item Deleted Total Alpha if Item Correlation Deleted X3_ X3_ X3_ X3_
7 7 UJI VALIDITAS DAN RELIABILIAS VARIABEL KINERJA KARYAWAN Case Processing Summary N % Cases Excluded a 0.0 Total a. Listwise deletion based on all variables in the procedure. Reliability Statistics Cronbach's Alpha N of Items Item Statistics Mean Std. Deviation N Y_ Y_ Y_ Y_
8 8 Item-Total Statistics Scale Mean if Scale Variance Corrected Item- Cronbach's Item Deleted if Item Deleted Total Alpha if Item Correlation Deleted Y_ Y_ Y_ Y_
9 9 Descriptive Statistics Mean Std. Deviation N Kinerja Karyawan (Y) Kompensasi (X1) Disiplin Kerja (X2) Konflik Kerja (X3) Variables Entered/Removed a Model Variables Entered Variables Removed Method 1 Konflik Kerja (X3), Disiplin Kerja (X2), Kompensasi (X1) b. Enter a. Dependent Variable: Kinerja Karyawan (Y) b. All requested variables entered. Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate a a. Predictors: (Constant), Konflik Kerja (X3), Disiplin Kerja (X2), Kompensasi (X1) ANOVA a Model Sum of Squares df Mean Square F Sig. Regression b 1 Residual Total a. Dependent Variable: Kinerja Karyawan (Y) b. Predictors: (Constant), Konflik Kerja (X3), Disiplin Kerja (X2), Kompensasi (X1)
10 10 Coefficients a Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta (Constant) Kompensasi (X1) Disiplin Kerja (X2) Konflik Kerja (X3) a. Dependent Variable: Kinerja Karyawan (Y)
11 11 Cuplikan Tabel Distribusi t 0 No 10% 5% 2,5%
12 12 Tabel F untuk = df
13 13 TABEL R DF 10% 5% 2,5% 1%
14
15 15 Frekuensi Identitas Responden Statistics Jenis Kelamin Usia Pendidikan Masa Kerja N Missing Frequency Table Jenis Kelamin Pria Wanita Usia th th th th
16 16 Pendidikan SLTA D3/S Masa Kerja 5-10 th th th > 20 th
17 17 Frekuensi Kompensasi Statistics X1_1 X1_2 X1_3 X1_4 Kompensasi (X1) N Missing Mean Median Mode Sum Frequency Table X1_
18 18 X1_ X1_ X1_
19 Kompensasi (X1)
20 20 Frekuensi Variabel Disiplin Kerja Statistics X2_1 X2_2 X2_3 X2_4 Disiplin Kerja (X2) N Missing Mean Median Mode Sum Frequency Table X2_
21 21 X2_ X2_ X2_
22 Disiplin Kerja (X2)
23 23 Frekuensi Variabel Konflik Kerja Statistics X3_1 X3_2 X3_3 X3_4 Konflik Kerja (X3) N Missing Mean Median Mode Sum Frequency Table X3_
24 24 X3_ X3_ X3_
25 Konflik Kerja (X3)
26 26 Frekuensi Variabel Kinerja Karyawan Statistics Y_1 Y_2 Y_3 Y_4 Kinerja Karyawan (Y) N Missing Mean Median Mode a Sum a. Multiple modes exist. The smallest value is shown Frequency Table Y_
27 27 Y_ Y_ Y_
28 Kinerja Karyawan (Y)
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 informationTRY 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. 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 informationHASIL 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 informationLampiran 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 informationTeam 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 informationLampiran 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 informationLAMPIRAN 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 informationLAMPIRAN UJI VALIDITAS
LAMPIRAN UJI VALIDITAS 1 e1 e2,00 Q1,04 Q2,01 -,04 e3 Q3,00 -,21 -,09 e4 Q4,49 -,01 e5 Q5,70,50,71 e6 Q6,47,69,74 e7 Q7,54,41,08 e8 Q8,17 e9 Q9,01 e10 Q10 Kompetensi Guru Chi-Square = 78,430 Probabilitas
More informationLAMPIRAN 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 informationDATA 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 informationDaftar 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 informationDATA 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 informationCHAPTER 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 informationUniversitas 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 informationLampiran 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 informationLAMPIRAN 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 informationMODUL 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 informationLAMPIRAN 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 informationLAMPIRAN. 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 informationRata-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 informationLampiran 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 informationDaftar 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 informationLAMPIRAN 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 informationLampiran 1. Uji Validitas dan Reliability Variabel Kualitas Pelayanan
Lampira 1. Uji itas da Reliability Variabel Kualitas Pelayaa 1 Frequecy Percet Percet Percet Kurag setuju 14 14.1 14.1 14.1 Ragu-ragu 57 57.6 57.6 71.7 Setuju 24 24.2 24.2 96.0 Sagat Setuju 4 4.0 4.0 100.0
More informationPerusahaan 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 informationIndustry 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 informationData 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 informationDaftar Nama Perusaahan. yang ada di Industri Consumer Goods periode
99 Lampiran 1 Daftar Nama Perusaahan yang ada di Industri Consumer Goods periode 2013-2016 KODE AISA ALTO CEKA CLEO DLTA ICBP INDF HOKI MLBI MYOR PSDN ROTI SKBM SKLT STTP ULTJ GGRM HMSP RMBA WIIM CINT
More informationLAMPIRAN 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 informationDaftar 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: ( .
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 informationLampiran 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 informationfruitfly 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 informationKUESIONER PENELITIAN BAGIAN 1
LAMPIRAN 48 49 Lampiran 1. Kuesioner Penelitian KUESIONER PENELITIAN Kuesioner ini digunakan sebagai bahan untuk menyusun skripsi mengenai Pengaruh Gaya Kepemimpinan Kepala Cabang terhadap Partisipasi
More informationStat 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 informationa. Uji kenormalan data model sebaran suhu pada band 7 citra tahun 2001 b. Uji kenormalan data model sebaran suhu pada band 4 citra tahun 2006
Dependent Variable: Suhu Regression Standardized Residual of Plot P-P Normal Dependent Variable: Suhu Regression Standardized Residual of Plot P-P Normal Lampiran 1. Hasil Uji Normalitas a. Uji kenormalan
More informationGetting 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 informationtool<-read.csv(file="d:/chilo/regression 7/tool.csv", header=t) tool
Regression nalysis lab 7 1 Indicator variables 1.1 Import data tool
More informationLAMPIRAN 1. Tabel 1. Data Indeks Harga Saham PT. ANTAM, tbk Periode 20 Januari Februari 2012
LAMPIRAN 1 Tabel 1. Data Indeks Harga Saham PT. ANTAM, tbk Periode 20 Januari 2011 29 Februari 2012 No Tanggal Indeks Harga Saham No Tanggal Indeks Harga Saham 1 20-Jan-011 2.35 138 05-Agst-011 1.95 2
More informationGuatemalan cholesterol example summary
Guatemalan cholesterol example summary Wednesday, July 11, 2018 02:04:06 PM 1 The UNIVARIATE Procedure Variable: level = rural Basic Statistical Measures Location Variability Mean 157.0204 Std Deviation
More informationStat 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 informationRegression 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 informationDrilling 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 informationLampiran 1 Tabel 3.1 Sampel No. Kode Nama Perusahaan Sumber : didownload tanggal 13 November 2016 (data diolah)
72 Lampiran 1 Tabel 3.1 Sampel No. Kode Nama Perusahaan 1 ALKA PT. Alakasa Industrindo Tbk 2 BIMA PT. Primarindo Asia Infrastructure Tbk 3 BRNA PT. Berlina Tbk 4 ETWA PT. Eterindo Wahanatama Tbk 5 FASW
More informationLAMPIRAN. Lampiran 1. Data deviden untuk menghitung economic performance tahun
LAMPIRAN Lampiran 1. Data deviden untuk menghitung economic performance tahun 2011-2013 No Kode 2011 2012 2013 Div Div Div 1 SMCB 23 32 48 2 UNVR 250 300 300 3 AMFG 80 80 80 4 INTP 263 293 450 5 ICBP 116
More informationAppendix 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 informationR-Sq criterion Data : Surgical room data Chap 9
Chap 9 - For controlled experiments model reduction is not very important. P 347 - For exploratory observational studies, model reduction is important. Criteria for model selection p353 R-Sq criterion
More informationTHERMOELECTRIC SAMPLE CONDITIONER SYSTEM (TESC)
THERMOELECTRIC SAMPLE CONDITIONER SYSTEM (TESC) FULLY AUTOMATED ASTM D2983 CONDITIONING AND TESTING ON THE CANNON TESC SYSTEM WHITE PAPER A critical performance parameter for transmission, gear, and hydraulic
More informationCluster Analysis. Presented by: Lauren Franklin and Maria Bakarman COM 631. April 2017
1 Cluster Analysis Presented by: Lauren Franklin and Maria Bakarman COM 631 April 2017 2 I. Model Data Set: Film and TV Usage National Survey 2015 (Jeffres & Neuendorf) Internal/clustering variables (4
More informationMOTORCYCLE ACCIDENT MODEL ON THE ROAD SECTION OF HIGHLANDS REGION BY USING GENELARIZED LINEAR MODEL
International Journal of Civil Engineering and Technology (IJCIET) Volume 8, Issue 10, October 2017, pp. 1249-1258 1248, Article ID: IJCIET_08_10_127 Available online at http://http://www.iaeme.com/ijciet/issues.asp?jtype=ijciet&vtype=8&itype=10
More informationLampiran 1. Tabel Sampel Penelitian
Lampiran 1 Tabel Sampel Penelitian No Kode Emiten Nama Perusahaan Tanggal IPO 1 APLN Agung Podomoro Land Tbk 11 Nov 2010 2 ASRI Alam Sutera Reality Tbk 18 Dec 2007 3 BAPA Bekasi Asri Pemula Tbk 14 Jan
More informationMotor Trend MPG Analysis
Motor Trend MPG Analysis SJ May 15, 2016 Executive Summary For this project, we were asked to look at a data set of a collection of cars in the automobile industry. We are going to explore the relationship
More informationThe 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 informationLAMPIRAN. Daftar Perusahaan Manufaktur yang menjadi sampel. 1 AMFG PT.Asahimas Flat Glass Tbk 1. 2 INDF PT. Indofood Skses Makmur Tbk 2
LAMPIRAN Lampiran i Daftar Perusahaan Manufaktur yang menjadi sampel No Kode Populasi Kriteria Sampel 1 2 3 4 1 AMFG PT.Asahimas Flat Glass 1 2 INDF PT. Indofood Skses Makmur 2 3 UNIT PT.Nusantara Inti
More informationAuthor s Accepted Manuscript
Author s Accepted Manuscript Dataset on statistical analysis of Jet A-1 fuel laboratory properties for on-spec into-plane operations Aderibigbe Israel Adekitan, Tobi Shomefun, Temitope M. John, Bukola
More informationImportant 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 informationFINANCIAL 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 informationLampiran 1: Nama Perusahaan yang menjadi Sampel Penelitian
LAMPIRAN Lampiran 1: Nama Perusahaan yang menjadi Sampel Penelitian NO. KODE NAMA PERUSAHAAN 1. INTA PT Intraco Penta Tbk 2. JKON PT Jaya Konstruksi Manggala Pratama Tbk 3. KONI PT Perdana Bangun Pusaka
More informationModeling Ignition Delay in a Diesel Engine
Modeling Ignition Delay in a Diesel Engine Ivonna D. Ploma Introduction The object of this analysis is to develop a model for the ignition delay in a diesel engine as a function of four experimental variables:
More informationUlangan (%) I II III
85 LAMPIRA 1. TABEL HASIL PEGAMATA Tabel 1.Hasil Daya Berkecambah Konsentrasi H 2 SO 4 Lama perendaman Ulangan Total Ratarata I II III K0 L1 4 8 6 18 6 L2 10 8 2 20 6,666667 L3 8 6 6 20 6,666667 K1 L1
More informationLampiran 1. Penjualan PT Honda Mandiri Bogor
LAMPIRAN 64 Lampiran 1. Penjualan PT Honda Mandiri Bogor 29-211 PENJUALAN 29 TYPE JAN FEB MAR APR MEI JUNI JULI AGT SEP OKT NOV DES TOTA JAZZ 16 14 22 15 23 19 13 28 15 28 3 25 248 FREED 23 25 14 4 13
More informationStatistics and Quantitative Analysis U4320. Segment 8 Prof. Sharyn O Halloran
Statistics and Quantitative Analysis U4320 Segment 8 Prof. Sharyn O Halloran I. Introduction A. Overview 1. Ways to describe, summarize and display data. 2.Summary statements: Mean Standard deviation Variance
More informationAPPENDIX A. A.1 Sample of Indian MFIs
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
More informationLAMPIRAN. Lampiran I. Daftar Populasi Perusahaan Properti dan Real Estate di Bursa Efek Indonesia No Kode. Kriteria Nama Perusahaan Emiten 1 2 3
LAMPIRAN Lampiran I Daftar Populasi Perusahaan Properti dan Real Estate di Bursa Efek Indonesia No Kode Kriteria Nama Perusahaan Emiten 1 2 3 Sampel 1 ASRI Alam Sutera Reality Tbk 1 2 BAPA Bekasi Asri
More informationMotor 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 informationdelivery<-read.csv(file="d:/chilo/regression 4/delivery.csv", header=t) delivery
Regression Analysis lab 4 1 Model Adequacy Checking 1.1 Import data delivery
More informationEXST7034 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 informationRobust alternatives to best linear unbiased prediction of complex traits
Robust alternatives to best linear unbiased prediction of complex traits WHY BEST LINEAR UNBIASED PREDICTION EASY TO EXPLAIN FLEXIBLE AMENDABLE WELL UNDERSTOOD FEASIBLE UNPRETENTIOUS NORMALITY IS IMPLICIT
More informationPreface... xi. A Word to the Practitioner... xi The Organization of the Book... xi Required Software... xii Accessing the Supplementary Content...
Contents Preface... xi A Word to the Practitioner... xi The Organization of the Book... xi Required Software... xii Accessing the Supplementary Content... xii Chapter 1 Introducing Partial Least Squares...
More informationThe Dynamics of Plug-in Electric Vehicles in the Secondary Market
The Dynamics of Plug-in Electric Vehicles in the Secondary Market Dr. Gil Tal gtal@ucdavis.edu Dr. Tom Turrentine Dr. Mike Nicholas Sponsored by the California Air Resources Board Population and Sampling
More informationFrom 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 informationThe Coefficient of Determination
The Coefficient of Determination Lecture 46 Section 13.9 Robb T. Koether Hampden-Sydney College Tue, Apr 13, 2010 Robb T. Koether (Hampden-Sydney College) The Coefficient of Determination Tue, Apr 13,
More informationStatistics for Social Research
Facoltà di Scienze della Formazione, Scienze Politiche e Sociali Statistics for Social Research Lesson 2: Descriptive Statistics Prof.ssa Monica Palma a.a. 2016-2017 DESCRIPTIVE STATISTICS How do we describe
More informationRoad Surface characteristics and traffic accident rates on New Zealand s state highway network
Road Surface characteristics and traffic accident rates on New Zealand s state highway network Robert Davies Statistics Research Associates http://www.statsresearch.co.nz Joint work with Marian Loader,
More informationSharif University of Technology. Graduate School of Management and Economics. Econometrics I. Fall Seyed Mahdi Barakchian
Sharif University of Technology Graduate School of Management and Economics Econometrics I Fall 2010 Seyed Mahdi Barakchian Textbook: Wooldridge, J., Introductory Econometrics: A Modern Approach, South
More informationReliability 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 informationReview of Upstate Load Forecast Uncertainty Model
Review of Upstate Load Forecast Uncertainty Model Arthur Maniaci Supervisor, Load Forecasting & Energy Efficiency New York Independent System Operator Load Forecasting Task Force June 17, 2011 Draft for
More informationEMPIRICAL 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 informationBAB 4 PENEMUAN KAJIAN. Bahagian ini pengkaji akan melaporkan hasil kajian mengikut persoalan kajian
BAB 4 PENEMUAN KAJIAN 4.1 PENDAHULUAN Bahagian ini pengkaji akan melaporkan hasil kajian mengikut persoalan kajian dalam Bab 1. Pada bahagian ini pengkaji melaporkan semua dapatan kajian, yang telah disusun
More informationnamibia 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 informationLevel of service model for exclusive motorcycle lane
387 Level of service model for exclusive motorcycle lane Seyed Farzin Faezi, Hussain Hamid, Sulistyo Arintono and Seyed Rasoul Davoodi Dept. of Civil Engineering, University Putra Malaysia, 43400, UPM
More informationModel Information Data Set. Response Variable (Events) Summe Response Variable (Trials) N Response Distribution Binomial Link Function
02:32 Donnerstag, November 03, 2016 1 Model Information Data Set WORK.EXP Response Variable (Events) Summe Response Variable (Trials) N Response Distribution inomial Link Function Logit Variance Function
More informationLECTURE 6: HETEROSKEDASTICITY
LECTURE 6: HETEROSKEDASTICITY Summary of MLR Assumptions 2 MLR.1 (linear in parameters) MLR.2 (random sampling) the basic framework (we have to start somewhere) MLR.3 (no perfect collinearity) a technical
More informationBooklet of Code and Output for STAD29/STA 1007 Final Exam
Booklet of Code and Output for STAD29/STA 1007 Final Exam List of Figures in this document by page: List of Figures 1 Raisins data.............................. 2 2 Boxplot of raisin data........................
More informationLAMPIRAN 1 Perusahaan Sampel Penelitian Tahun
LAMPIRAN 1 Perusahaan Sampel Penelitian Tahun 2008-2010 No. Perusahaan Kode Tahun 1. PT. Gozco Plantation Tbk. GZCO 2008 2. PT. Indika Energy Tbk. INDY 2008 3. PT. Adhi Karya (Persero) Tbk. ADHI 2008 4.
More informationAntonio 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 informationLampiran 1. Proses Pemilihan Sampel. Universitas Sumatera Utara
Lampiran 1 Proses Pemilihan Sampel No. Kode Emiten Nama Perusahaan Tanggal Pengumuman Stock Split Kriteria Pemilihan Sampel 1 2 3 4 Sampel 1. CTBN Citra Tubindo 12 Januari Tbk 2009 2. ARNA Arwana 11 September
More information5. 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 informationImproving CERs building
Improving CERs building Getting Rid of the R² tyranny Pierre Foussier pmf@3f fr.com ISPA. San Diego. June 2010 1 Why abandon the OLS? The ordinary least squares (OLS) aims to build a CER by minimizing
More informationSAN PEDRO BAY PORTS YARD TRACTOR LOAD FACTOR STUDY Addendum
SAN PEDRO BAY PORTS YARD TRACTOR LOAD FACTOR STUDY Addendum December 2008 Prepared by: Starcrest Consulting Group, LLC P.O. Box 434 Poulsbo, WA 98370 TABLE OF CONTENTS 1.0 EXECUTIVE SUMMARY...2 1.1 Background...2
More information1 of 28 9/15/2016 1:16 PM
1 of 28 9/15/2016 1:16 PM 2 of 28 9/15/2016 1:16 PM 3 of 28 9/15/2016 1:16 PM objects(package:psych).first < function(library(psych)) help(read.table) #or?read.table #another way of asking for help apropos("read")
More informationOregon DOT Slow-Speed Weigh-in-Motion (SWIM) Project: Analysis of Initial Weight Data
Portland State University PDXScholar Center for Urban Studies Publications and Reports Center for Urban Studies 7-1997 Oregon DOT Slow-Speed Weigh-in-Motion (SWIM) Project: Analysis of Initial Weight Data
More informationDAFTAR LAMPIRAN. Daftar Perusahaan yang dijadikan sampel
83 DAFTAR LAMPIRAN Daftar Perusahaan yang dijadikan sampel No KODE Nama perusahaan 01 ALKA Alakasa Industrindo Tbk 02 ALMI Alumindo Light Metal Industri Tbk 03 AMFG Asahimas Flat Glass Tbk 04 ASTRA Astra
More informationQuarterly Market Detail - Q Townhouses and Condos Miami-Fort Lauderdale-West Palm Beach MSA
ly Market Detail - Q3 218 Summary Statistics Q3 218 Q3 217 Paid in Cash 11,55 9,91 11.7% 5,712 5,554 2.8% $19, $18, 5.6% Average Sale Price Dollar Volume $281,57 $264,562 6.2% $3.1 Billion $2.6 Billion
More informationLecture 2. Review of Linear Regression I Statistics Statistical Methods II. Presented January 9, 2018
Review of Linear Regression I Statistics 211 - Statistical Methods II Presented January 9, 2018 Estimation of The OLS under normality the OLS Dan Gillen Department of Statistics University of California,
More informationTRINITY COLLEGE DUBLIN THE UNIVERSITY OF DUBLIN. Faculty of Engineering, Mathematics and Science. School of Computer Science and Statistics
ST7003-1 TRINITY COLLEGE DUBLIN THE UNIVERSITY OF DUBLIN Faculty of Engineering, Mathematics and Science School of Computer Science and Statistics Postgraduate Certificate in Statistics Hilary Term 2015
More informationAppendices for: Statistical Power in Analyzing Interaction Effects: Questioning the Advantage of PLS with Product Indicators
Appendices for: Statistical Power in Analyzing Interaction Effects: Questioning the Advantage of PLS with Product Indicators Dale Goodhue Terry College of Business MIS Department University of Georgia
More informationSome Robust and Classical Nonparametric Procedures of Estimations in Linear Regression Model
Some Robust and Classical Nonparametric Procedures of Estimations in Linear Regression Model F.B. Adebola, Ph.D.; E.I. Olamide, M.Sc. * ; and O.O. Alabi, Ph.D. Department of Statistics, Federal University
More informationfemale 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