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Hypothesis Testing 2011, 10, 25.

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Presentation on theme: "Hypothesis Testing 2011, 10, 25."— Presentation transcript:

1 Hypothesis Testing 2011, 10, 25

2 Objectives Review distribution of sample means
Descriptive statistics vs. inferential statistics Research hypothesis* Statistical hypothesis testing – One sample z test**

3 Population For IQ Score = sample mean; n=75 Distribution of Sample Means Probability Means

4 Descriptive statistics vs. inferential statistics
procedures that help us organize and describe data collected from either a a sample or a population Inferential Statistics: The logic and procedures concerned with making predictions of inferences about the population from observations and analyses of a sample

5 Research Hypothesis Law & Order Not Guilty Guilty Reject it! Mutually
Exclusive Supported

6 Research Hypothesis (Two-Tailed Test)
The police department of a major city reports that the mean number of auto thefts per neighborhood per year is () 6.88 with a standard deviation () of As the mayor of a suburban community just outside the major city, you’re curious as to how the auto theft rate in your community compares.  = 6.88   6.88 Reject it! Mutually Exclusive Supported

7 Research Hypothesis (One-Tailed Test)
Information collected at a local university indicates that students are working on average () 15.2 hours per week while in school with a standard deviation () of 3.5 hours. A research suspects that fraternity members work less than the school average. Information collected from a random sample of 30 fraternity members, reveals a mean of 13.9 hours per week.   15.2  < 15.2 Reject it! Mutually Exclusive Supported

8 Probability Population For College Students’ = sample mean
Working Hours = sample mean n = 30 Probability

9 One-Sample z-Test Step 1: State hypotheses
Step 2: Set your decision criteria Step 3: Compute mean and Std. Err. Step 4: Compute the zobs score (test statistic)

10 One-Sample z-Test Step 5: Make a decision about your null hypothesis

11 Lecture Recap: Hypothesis Testing
Review distribution of sample means Descriptive statistics vs. inferential statistics Research hypothesis* Without direction: Two-tailed test With direction: One-tailed test One sample z test** Five steps


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