IUB CJUS-K 300 - Exam 3 Study Guide (8 pages)

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Exam 3 Study Guide



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Exam 3 Study Guide

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Lectures 11-14


Pages:
8
Type:
Study Guide
School:
Indiana University, Bloomington
Course:
Cjus-K 300 - Techniques of Data Analysis
Edition:
1

Unformatted text preview:

CJUS K300 1nd Edition Exam 3 Study Guide Lectures 11 14 Lecture 11 October 8 2 Tailed Tests Null hypothesis Ho There s no difference between the two variables Research hypothesis 2 tailed non directional H1 There is a difference between the two variables But not providing information on what the difference is Starting off with an example Domestic Violence Attitude Scale Possible range of scores 1 50 where higher scores indicate officers taking domestic violence more seriously For the population of police officers 20 For a sample of 75 officers x 29 s 4 Ho The sample of officers who have been through the 2 day training program come from a population of officers whose mean score on the Domestic Violence Attitude Scale is 20 H1 The sample of officers who have been through the 2 day training program come from a population of officers whose mean score on the Domestic Violence Attitude Scale is not 20 We typically express these in symbol form Ho 20 H1 20 Steps to test a null hypothesis 2 tailed 1 State your null and research hypotheses 2 Decide on your alpha level 10 05 or 01 3 Look up your critical value e g zcrit draw a graph picture it s easier to visualize 4 Calculate your zobt 5 Compare Is zcrit zobt zcrit refer to your graph picture 6 State your conclusion Critical regions for alpha 05 1 96 Equation Z obt x s n Is 1 96 Zobt 1 96 or in other words is the Zobt outside of the critical zone No Reject the null hypothesis and find in favor of the research hypothesis Since zobt is in the critical region we reject the Ho and find instead in favor of the H1 Conclusion We are 95 certain that the sample of officers who have been through the 2 day training program come from a population whose mean score on the Domestic Violence Attitude Scale is not 20 Lecture 12 October 13 1 Tailed Tests Why Reasons to specify a directional hypothesis 1 It fits the theory 2 It gives a mathematical advantage In a two tailed test both the tails or extremities are included 2 5 in each tail For a



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