QUESTION 4 If statistical evidence is found against the null hypothesis, then we the null hypothesis. O a. fail to reject b.reject

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A presidential candidate claims that the proportion of college students who are registered to vote in the upcoming election is at least 64%. Suppose that we want to sample a number of college students and carry out a hypothesis test to see if this daim may be refuted. State the null hypothesis H, and the alternative hypothesis H, that we would use for this test. H: 0 H;: 0 A OSO D=0

Question 8: give the conclusion

Question 31: give the conclusion

In Bloomington, they randomly sampled 260 female voters, and 190 male voters. They collected data on the respondent's opinion on an environmental bond issue. We want to know whether there is good evidence that one's gender influences whether a person is for or against the bond issue. Use α = 0.05. For Bond Issue Against Bond Issue Total 52 260 17 190 69 450 Men Women Total a) What is the correct null hypothesis? O Ho: P₁ P2 P3 P4 O Ho: P₁ P2 = P3 P4 O Ho: Gender and Bond Issue Attitudes are Independent. O Ho: Gender and Bond Issue Attitudes are dependent. b) Fill in the expected values, round answers to 1 decimal place. For Bond Issue Against Bond Issue Expected Values Men Women c) Chi Square Test Statistic = 208 173 381 Degree's of Freedom = d) The p-value = 1 decimal place 3 decimal places e) What is the correct conclusion? O Because the p-value is greater than alpha, we reject the Ho. There is statistical evidence that attitudes on the bond issue are dependent on gender. O Because…

You watch people exiting Dodgers stadium after a game and you write down the number of males and the number of females that exit the stadium past you during the 20 minutes that you spend watching. You assumed that there would be a perfectly equal number of males and females attending a Dodgers game, but you look at the number of males and females that you actually counted, and you see if you still think that is actually true. What kind of hypothesis test would allow you to do this? a. One-Factor, Independent-Measures ANOVA b. Two-Factor ANOVA c. Correlation/Regression d. Chi-Square Goodness of Fit

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