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

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

Guatemalan cholesterol example summary

Análisis de la varianza (II)

Lampiran IV. Hasil Output SPSS Versi 16.0 untuk Analisis Deskriptif

The PRINCOMP Procedure

HASIL OUTPUT SPSS. Reliability Scale: ALL VARIABLES

Master of Applied Statistics Applied Statistics Comprehensive Exam Computer Output January 2018

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

Lampiran 1. Data Perusahaan

Drilling Example: Diagnostic Plots

tool<-read.csv(file="d:/chilo/regression 7/tool.csv", header=t) tool

Stat 401 B Lecture 31

TABLE 4.1 POPULATION OF 100 VALUES 2

Motor Trend MPG Analysis

DATA SAMPEL TAHUN 2006

Model Information Data Set. Response Variable (Events) Summe Response Variable (Trials) N Response Distribution Binomial Link Function

delivery<-read.csv(file="d:/chilo/regression 4/delivery.csv", header=t) delivery

Example #1: One-Way Independent Groups Design. An example based on a study by Forster, Liberman and Friedman (2004) from the

TRINITY COLLEGE DUBLIN THE UNIVERSITY OF DUBLIN. Faculty of Engineering, Mathematics and Science. School of Computer Science and Statistics

TRY OUT 25 Responden Variabel Kepuasan / x1

UJI VALIDITAS DAN RELIABILIAS VARIABEL KOMPENSASI

Stat 301 Lecture 26. Model Selection. Indicator Variables. Explanatory Variables

TRY OUT 30 Responden Variabel Kompetensi/ x1

Regression Models Course Project, 2016

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

Motor Trend Yvette Winton September 1, 2016

Modeling Ignition Delay in a Diesel Engine

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

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

Lampiran 1. Penjualan PT Honda Mandiri Bogor

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

Review of Upstate Load Forecast Uncertainty Model

R-Sq criterion Data : Surgical room data Chap 9

Stat 401 B Lecture 27

FINAL REPORT AP STATISTICS CLASS DIESEL TRUCK COUNT PROJECT

Anexo 6. Análisis de piezas de fallo único.

LAMPIRAN A. Tabulasi Data Perusahaan Sample

Appendix B STATISTICAL TABLES OVERVIEW

Basic SAS and R for HLM

THERMOELECTRIC SAMPLE CONDITIONER SYSTEM (TESC)

Booklet of Code and Output for STAD29/STA 1007 Final Exam

Statistics and Quantitative Analysis U4320. Segment 8 Prof. Sharyn O Halloran

Statistics for Social Research

Technical Papers supporting SAP 2009

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

Antonio Olmos Priyalatha Govindasamy Research Methods & Statistics University of Denver

Oregon DOT Slow-Speed Weigh-in-Motion (SWIM) Project: Analysis of Initial Weight Data

Lecture 2. Review of Linear Regression I Statistics Statistical Methods II. Presented January 9, 2018

Relating your PIRA and PUMA test marks to the national standard

Relating your PIRA and PUMA test marks to the national standard

The Dynamics of Plug-in Electric Vehicles in the Secondary Market

LAMPIRAN 1. Tabel 1. Data Indeks Harga Saham PT. ANTAM, tbk Periode 20 Januari Februari 2012

Universitas Sumatera Utara

MOTORCYCLE ACCIDENT MODEL ON THE ROAD SECTION OF HIGHLANDS REGION BY USING GENELARIZED LINEAR MODEL

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

International Journal of Scientific & Engineering Research, Volume 4, Issue 11, November ISSN

IVEware Analysis Example Replication C10

Volvo City Safety loss experience a long-term update

Start Time. LOCATION: Scotts Valley Dr QC JOB #: SPECIFIC LOCATION: 0 ft from Tabor St. DIRECTION: EB/WB CITY/STATE: Scotts Valley, CA

SPATIAL AND TEMPORAL PATTERNS OF FATIGUE RELATED CRASHES IN HAWAII

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

Daftar Sampel Perusahaan

The Incubation Period of Cholera: A Systematic Review Supplement. A. S. Azman, K. E. Rudolph, D.A.T. Cummings, J. Lessler

FHWA/IN/JTRP-2000/23. Final Report. Sedat Gulen John Nagle John Weaver Victor Gallivan

MONTHLY NEW RESIDENTIAL SALES, APRIL 2017

female male help("predict") yhat age

Lampiran i Jadwal Penelitian

MONTHLY NEW RESIDENTIAL SALES, AUGUST 2017

Distribution Uniformity of Multi Stream Multi Trajectory Rotary Nozzles Spaced Below Recommended Distance

SEM over time. Changes in Structure, changes in Means

Exercises An Introduction to R for Epidemiologists using RStudio SER 2014

Looking at Confidence Intervals

AIC Laboratory R. Leaf November 28, 2016

1 of 28 9/15/2016 1:16 PM

Nondestructive Detection and Quantification of Blueberry Bruising using Near-infrared (NIR) Hyperspectral Reflectance Imaging

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

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

LAMPIRAN. Lampiran 1 Data Sampel Penelitian

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

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

SAN PEDRO BAY PORTS YARD TRACTOR LOAD FACTOR STUDY Addendum

1 - Inventory regime changes: An application of Hamilton s state space model

Descriptive Statistics

Evaluation of Accuracy and Precision of Highway Speed Deflection Devices

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

Data Nama Perusahaan Perbankan Yang Terdaftar Di BEI.

LAMPIRAN. Lampiran 1. Data deviden untuk menghitung economic performance tahun

Reed Switch Life Characteristics under Different Levels of Capacitive Loading

Quality Control in Mineral Exploration

Index. Calculated field creation, 176 dialog box, functions (see Functions) operators, 177 addition, 178 comparison operators, 178

Lampiran 1. Tabel Sampel Penelitian

Learning how to choose (?) Effects of instructional choice sets in DCE

MONTHLY NEW RESIDENTIAL SALES, SEPTEMBER 2018

Lampiran 1. Daftar Sampel Perusahaan

Sharif University of Technology. Graduate School of Management and Economics. Econometrics I. Fall Seyed Mahdi Barakchian

Table S1. Statistical comparison of selected variables for the December 2008 and March 2009 storms.

U.S. Census Bureau News Joint Release U.S. Department of Housing and Urban Development

ANALYSIS OF TRAFFIC SPEEDS IN NEW YORK CITY. Austin Krauza BDA 761 Fall 2015

APPENDIX A1. Station Data: Benthic Grab Samples (BN051/BF051)

A DIFFERENCE IN ROLLOVER FREQUENCY BETWEEN CHEVROLET AND GMC TRUCKS. Hans C. Joksch. The University of Michigan Transportation Research Institute

Transcription:

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 Median 34.40000 Variance 79.95960 Mode. Range 36.90000 Interquartile Range 9.70000 Tests for Normality Test Statistic p Value Shapiro-Wilk W 0.983892 Pr < W 0.9498 Kolmogorov-Smirnov D 0.11463 Pr > D >0.1500 Cramer-von Mises W-Sq 0.037842 Pr > W-Sq >0.2500 Anderson-Darling A-Sq 0.21906 Pr > A-Sq >0.2500 Quantiles (Definition 5) Level Quantile 100% Max 51.8 99% 51.8 95% 47.4 90% 42.4 75% Q3 37.9 50% Median 34.4 25% Q1 28.2 10% 20.3 5% 19.3 1% 14.9 0% Min 14.9 Extreme Values Lowest Highest Order Value Order Value 1 14.9 21 41.7 2 19.3 22 41.8 3 20.3 23 42.4 4 22.6 24 47.4 5 23.4 25 51.8

fruitfly fecundity example summary Tuesday, July 17, 2018 02:13:19 PM 2 The UNIVARIATE Procedure Variable: fecund line = RS Basic Statistical Measures Location Variability Mean 25.25600 Std Deviation 7.77239 Median 23.60000 Variance 60.41007 Mode 20.30000 Range 31.60000 Interquartile Range 9.00000 Tests for Normality Test Statistic p Value Shapiro-Wilk W 0.949559 Pr < W 0.2450 Kolmogorov-Smirnov D 0.139336 Pr > D >0.1500 Cramer-von Mises W-Sq 0.076663 Pr > W-Sq 0.2253 Anderson-Darling A-Sq 0.473402 Pr > A-Sq 0.2288 Quantiles (Definition 5) Level Quantile 100% Max 44.4 99% 44.4 95% 38.7 90% 38.6 75% Q3 29.3 50% Median 23.6 25% Q1 20.3 10% 14.9 5% 14.8 1% 12.8 0% Min 12.8 Extreme Values Lowest Highest Order Value Freq Order Value Freq 1 12.8 1 20 29.6 1 2 14.8 1 21 34.6 1 3 14.9 1 22 38.6 1 4 16.4 1 23 38.7 1 5 19.7 1 24 44.4 1

fruitfly fecundity example summary Tuesday, July 17, 2018 02:13:19 PM 3 The UNIVARIATE Procedure Variable: fecund line = SS Basic Statistical Measures Location Variability Mean 23.62800 Std Deviation 9.76847 Median 22.50000 Variance 95.42293 Mode. Range 37.70000 Interquartile Range 14.20000 Tests for Normality Test Statistic p Value Shapiro-Wilk W 0.939562 Pr < W 0.1446 Kolmogorov-Smirnov D 0.153393 Pr > D 0.1312 Cramer-von Mises W-Sq 0.070113 Pr > W-Sq >0.2500 Anderson-Darling A-Sq 0.457935 Pr > A-Sq 0.2463 Quantiles (Definition 5) Level Quantile 100% Max 48.5 99% 48.5 95% 39.0 90% 38.4 75% Q3 30.2 50% Median 22.5 25% Q1 16.0 10% 12.2 5% 11.6 1% 10.8 0% Min 10.8 Extreme Values Lowest Highest Order Value Order Value 1 10.8 21 32.9 2 11.6 22 33.4 3 12.2 23 38.4 4 12.8 24 39.0 5 14.6 25 48.5

fruitfly fecundity example summary Tuesday, July 17, 2018 02:13:19 PM 4 The UNIVARIATE Procedure 60 Q-Q Plot for fecund 50 line = RS line = NS fecund 40 30 20 10 60 50 40 30 20 10-2 -1 0 1 2 Normal Quantiles

fruitfly fecundity example summary Tuesday, July 17, 2018 02:13:19 PM 5 The UNIVARIATE Procedure 60 Q-Q Plot for fecund 50 line = SS fecund 40 30 20 10-2 -1 0 1 2 Normal Quantiles

full model with 3 means (NS,RS,SS) Tuesday, July 17, 2018 02:13:19 PM 6 Class Level Information Class Levels Values line 3 NS RS SS Number of Observations Read 75 Number of Observations Used 75

full model with 3 means (NS,RS,SS) Tuesday, July 17, 2018 02:13:19 PM 7 Coefficients for Estimate RS vs SS Row 1 Intercept 0 line NS 0 line RS 1 line SS -1

full model with 3 means (NS,RS,SS) Tuesday, July 17, 2018 02:13:19 PM 8 Dependent Variable: fecund Source DF Sum of Squares Mean Square F Value Pr > F Model 2 1362.211467 681.105733 8.67 0.0004 Error 72 5659.022400 78.597533 Corrected Total 74 7021.233867 R-Square Coeff Var Root MSE fecund Mean 0.194013 32.33390 8.865525 27.41867 Source DF Type I SS Mean Square F Value Pr > F line 2 1362.211467 681.105733 8.67 0.0004 Source DF Type III SS Mean Square F Value Pr > F line 2 1362.211467 681.105733 8.67 0.0004 Contrast DF Contrast SS Mean Square F Value Pr > F RS vs SS 1 33.12980000 33.12980000 0.42 0.5182 Parameter Estimate Standard Error t Value Pr > t 95% Confidence Limits RS vs SS 1.62800000 2.50754914 0.65 0.5182-3.37070784 6.62670784

full model with 3 means (NS,RS,SS) Tuesday, July 17, 2018 02:13:19 PM 9 Dependent Variable: fecund Distribution of fecund 50 F Prob > F 8.67 0.0004 40 fecund 30 20 10 NS RS SS line

full model with 2 means (NS,selected) Tuesday, July 17, 2018 02:13:19 PM 10 Class Level Information Class Levels Values line2 2 NS S Number of Observations Read 75 Number of Observations Used 75

full model with 2 means (NS,selected) Tuesday, July 17, 2018 02:13:19 PM 11 Dependent Variable: fecund Source DF Sum of Squares Mean Square F Value Pr > F Model 1 1329.081667 1329.081667 17.05 <.0001 Error 73 5692.152200 77.974688 Corrected Total 74 7021.233867 R-Square Coeff Var Root MSE fecund Mean 0.189295 32.20553 8.830328 27.41867 Source DF Type I SS Mean Square F Value Pr > F line2 1 1329.081667 1329.081667 17.05 <.0001 Source DF Type III SS Mean Square F Value Pr > F line2 1 1329.081667 1329.081667 17.05 <.0001 Contrast DF Contrast SS Mean Square F Value Pr > F NS vs selected 1 1329.081667 1329.081667 17.05 <.0001 Parameter Estimate Standard Error t Value Pr > t NS vs selected 8.93000000 2.16297972 4.13 <.0001

full model with 2 means (NS,selected) Tuesday, July 17, 2018 02:13:19 PM 12 Dependent Variable: fecund Distribution of fecund 50 F Prob > F 17.05 <.0001 40 fecund 30 20 10 NS line2 S

alternate approach for the full model Tuesday, July 17, 2018 02:13:19 PM 13 Class Level Information Class Levels Values line 3 NS RS SS Number of Observations Read 75 Number of Observations Used 75

alternate approach for the full model Tuesday, July 17, 2018 02:13:19 PM 14 Dependent Variable: fecund Source DF Sum of Squares Mean Square F Value Pr > F Model 2 1362.211467 681.105733 8.67 0.0004 Error 72 5659.022400 78.597533 Corrected Total 74 7021.233867 R-Square Coeff Var Root MSE fecund Mean 0.194013 32.33390 8.865525 27.41867 Source DF Type I SS Mean Square F Value Pr > F line 2 1362.211467 681.105733 8.67 0.0004 Source DF Type III SS Mean Square F Value Pr > F line 2 1362.211467 681.105733 8.67 0.0004 Contrast DF Contrast SS Mean Square F Value Pr > F RS vs SS 1 33.129800 33.129800 0.42 0.5182 RS vs NS 1 823.368200 823.368200 10.48 0.0018 SS vs NS 1 1186.819200 1186.819200 15.10 0.0002 NS vs others 1 1329.081667 1329.081667 16.91 0.0001 Parameter Estimate Standard Error t Value Pr > t 95% Confidence Limits RS vs SS 1.62800000 2.50754914 0.65 0.5182-3.37070784 6.62670784 RS vs NS -8.11600000 2.50754914-3.24 0.0018-13.11470784-3.11729216 SS vs NS -9.74400000 2.50754914-3.89 0.0002-14.74270784-4.74529216 NS vs others 8.93000000 2.17160125 4.11 0.0001 4.60099202 13.25900798

alternate approach for the full model Tuesday, July 17, 2018 02:13:19 PM 15 Dependent Variable: fecund Distribution of fecund 50 F Prob > F 8.67 0.0004 40 fecund 30 20 10 NS RS SS line

alternate approach for the full model Tuesday, July 17, 2018 02:13:19 PM 16 Distribution of fecund 50 40 fecund 30 20 10 NS RS SS line

alternate approach for the full model Tuesday, July 17, 2018 02:13:19 PM 17 Scheffe's Test for fecund Note: This test controls the Type I experimentwise error rate, but it generally has a higher Type II error rate than Tukey's for all pairwise comparisons. Alpha 0.05 Error Degrees of Freedom 72 Error Mean Square 78.59753 Critical Value of F 3.12391 Minimum Significant Difference 6.2678 Comparisons significant at the 0.05 level are indicated by ***. line Comparison Difference Between Means Simultaneous 95% Confidence Limits NS - RS 8.116 1.848 14.384 *** NS - SS 9.744 3.476 16.012 *** RS - NS -8.116-14.384-1.848 *** RS - SS 1.628-4.640 7.896 SS - NS -9.744-16.012-3.476 *** SS - RS -1.628-7.896 4.640

the multiplier for the Scheffe intervals Tuesday, July 17, 2018 02:13:19 PM 18 Obs F multi 1 3.12391 2.49956

simultaneous Scheffe type intervals Tuesday, July 17, 2018 02:13:19 PM 19 Obs differ estimate stderr lowercl uppercl 1 RS_SS 1.628 2.50755-4.6398 7.8958 2 RS_NS -8.116 2.50755-14.3838-1.8482 3 SS_NS -9.744 2.50755-16.0118-3.4762 4 NS_other 8.930 2.17160 3.5019 14.3581