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Unformatted text preview: 1 Statistics: An Introduction Fifth Edition 421 Section 10: Inferential Techniques for Proportions A. Introduction Recall that for large n ( n ≥ 100) the sampling distribution for a proportion if approximately normal with standard error B. Hypothesis Tests Hypothesis tests for proportions can be conducted based on this sampling theory. p (1 ) n 422 Section 10: Inferential Techniques for Proportions Example: Poll. Question: Does the proportion of students at the University of Iowa that approve of the job Culver is doing as Governor differ from .50? Study: Randomly sample 100 students and find proportion approving in the sample. Step 1. State null and alternative hypotheses. 5 . : 5 . : 5 . : 2 1 H H H 2 423 Section 10: Inferential Techniques for Proportions Step 2. State level of significance Step 3. Assuming H is true, set the critical region....
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This note was uploaded on 10/11/2011 for the course STAT 102 taught by Professor Jimmaxey during the Spring '11 term at Iowa State.
 Spring '11
 JimMaxey
 Statistics, Standard Error

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