Chapter 8 The Comparison of Two Populations COMPLETE BUSINESS STATISTICSby AMIR D. ACZEL & JAYAVEL SOUNDERPANDIAN 7th edition. Prepared by Lloyd Jaisingh,
SADC Course in Statistics Tests for Variances (Session 11)
COURSE: JUST 3900 INTRODUCTORY STATISTICS FOR CRIMINAL JUSTICE Instructor: Dr. John J. Kerbs, Associate Professor Joint Ph.D. in Social Work and Sociology.
3-1 HYPOTHESIS TESTING. 3-2 INTRODUCTION One of the ways of estimating the true value of population parameters is to test the validity of the claim(assertion.
1 Chapter 10: The t Test For Two Independent Samples.
Pooled Variance t Test Tests means of 2 independent populations having equal variances Parametric test procedure Assumptions – Both populations are normally.
Hypothesis Testing Goal: Make statement(s) regarding unknown population parameter values based on sample data Elements of a hypothesis test: –Null hypothesis.
A PRIORI OR PLANNED CONTRASTS. ANOVA is used to compare means. However, if a difference is detected, and more than two means are being compared, ANOVA.
Copyright © 2010 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Statistical Inferences Based on Two Samples Chapter 10.
©The McGraw-Hill Companies, Inc. 2008McGraw-Hill/Irwin Analysis of Variance Chapter 12.
1 HYPOTHESIS TESTING: ABOUT TWO INDEPENDENT POPULATIONS.
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