10) A professor of linguistics refutes the claim that the average student spends 3 hours studying for the midterm exam. She thinks they spend more time than that. Which hypotheses are used to test the claim? a) Ho: u #3 vs. H1: µ> 3 c) Ho: µ ±3 vs. H1: u = 3 11) If a test of hypothesis has a Type I error probability of .05, what does this means? 12) In testing the hypotheses Ho: µ= 50 vs. H1: µ# 50, the following information is known: n = 64, x = 53.5, and o = 10. What is the standardized test statistic z equal to? 13) For a two-tail test, what values of the standardized test statistic z is, if the null hypothesis will be rejected at the 0.05 level of significance? 14) If we do not reject the null hypothesis, how we state our conclusion?: b) Ho: μ 3 vs. Hi: μ#3 d) H: μ 3 vs. Η: μ <3 15) What would happen if we committed a Type II erTor in deciding our null hypothesis?

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Chapter1: Starting With Matlab
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10) A professor of linguistics refutes the claim that the average student spends 3 hours studying for the
midterm exam. She thinks they spend more time than that. Which hypotheses are used to test the
claim?
b) Ho: u = 3 vs. Hi: u +3
d) Ho: u = 3 vs. Hi: u <3
a) Ho: u +3 vs. H1: µ> 3
c) Ho: u +3 vs. Hi: µ= 3
11) If a test of hypothesis has a Type I error probability of .05, what does this means?
12) In testing the hypotheses Ho: µ = 50 vs. H1: µ# 50, the following information is known:
n = 64, X = 53.5, and o = 10. What is the standardized test statistic z equal to?
13) For a two-tail test, what values of the standardized test statistic z is, if the null hypothesis will be
rejected at the 0.05 level of significance?
14) If we do not reject the null hypothesis, how we state our conclusion?:
15) What would happen if we committed a Type II error in deciding our null hypothesis?
Transcribed Image Text:10) A professor of linguistics refutes the claim that the average student spends 3 hours studying for the midterm exam. She thinks they spend more time than that. Which hypotheses are used to test the claim? b) Ho: u = 3 vs. Hi: u +3 d) Ho: u = 3 vs. Hi: u <3 a) Ho: u +3 vs. H1: µ> 3 c) Ho: u +3 vs. Hi: µ= 3 11) If a test of hypothesis has a Type I error probability of .05, what does this means? 12) In testing the hypotheses Ho: µ = 50 vs. H1: µ# 50, the following information is known: n = 64, X = 53.5, and o = 10. What is the standardized test statistic z equal to? 13) For a two-tail test, what values of the standardized test statistic z is, if the null hypothesis will be rejected at the 0.05 level of significance? 14) If we do not reject the null hypothesis, how we state our conclusion?: 15) What would happen if we committed a Type II error in deciding our null hypothesis?
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