Jun 17th, 2015
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Northwest Nazarene University
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the null hypothesis is incorrectly accepted when it is false. the null hypothesis is incorrectly rejected when it is true. the sample mean differs from the population mean.

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CHAPTER 10HYPOTHESIS TESTINGMULTIPLE CHOICE QUESTIONSIn the following multiple-choice questions, please circle the correct answer.1. If a researcher takes a large enough sample, he/she will almost always obtain:a. virtually significant resultsb. practically significant resultsc. consequentially significant resultsd. statistically significant resultsANSWER:d2. The null and alternative hypotheses divide all possibilities into:a. two sets that overlapb. two non-overlapping setsc. two sets that may or may not overlapd. as many sets as necessary to cover all possibilitiesANSWER:b3. Which of the following is true of the null and alternative hypotheses?a. Exactly one hypothesis must be trueb. both hypotheses must be truec. It is possible for both hypotheses to be trued. It is possible for neither hypothesis to be trueANSWER:a4. One-tailed alternatives are phrased in terms of:a. b. < or >c. or =d. ANSWER:b05. The chi-square goodness-of-fit test can be used to test for:a. significance of sample statistics b. difference between population meansc. normalityd. probabilityANSWER:c6. A type II error occurs when:a. the null hypothesis is incorrectly accepted when it is false b. the null hypothesis is incorrectly rejected when it is truec. the sample mean differs from the population meand. the test is biasedANSWER:a7. Of type I and type II error, which is traditionally regarded as more serious?a. Type Ib. Type I

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