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- Suppose we are testing Ho: p=.20 vs Ha: p does not equal .20 and TS=2.34. What is the p-value?H0 : There is no association between party affiliation and the county in which a person lives. Ha : There is an association between party affiliation and the county in which a person lives. The chi-square test statistic and p p -value of the hypothesis test were 19.78 and 0.003 respectively. Which of the following conclusions should be made about political affiliation and where a person lives?Would you favor spending more federal tax money on the arts? Of a random sample of n1 = 204 women, r1 = 70 responded yes. Another random sample of n2 = 178 men showed that r2 = 48 responded yes. Does this information indicate a difference (either way) between the population proportion of women and the population proportion of men who favor spending more federal tax dollars on the arts? Use ? = 0.05. (a) What is the level of significance?State the null and alternate hypotheses. H0: p1 = p2; H1: p1 > p2H0: p1 = p2; H1: p1 < p2 H0: p1 = p2; H1: p1 ≠ p2H0: p1 < p2; H1: p1 = p2 (b) What sampling distribution will you use? What assumptions are you making? The standard normal. We assume the population distributions are approximately normal.The Student's t. The number of trials is sufficiently large. The standard normal. The number of trials is sufficiently large.The Student's t. We assume the population distributions are approximately normal. What is the value of the sample…
- Would you favor spending more federal tax money on the arts? Of a random sample of n1 = 225 women, r1 = 68 responded yes. Another random sample of n2 = 162 men showed that r2 = 64 responded yes. Does this information indicate a difference (either way) between the population proportion of women and the population proportion of men who favor spending more federal tax dollars on the arts? Use ? = 0.05. (a) What is the level of significance?State the null and alternate hypotheses. H0: p1 < p2; H1: p1 = p2H0: p1 = p2; H1: p1 ≠ p2 H0: p1 = p2; H1: p1 < p2H0: p1 = p2; H1: p1 > p2 (b) What sampling distribution will you use? What assumptions are you making? The Student's t. The number of trials is sufficiently large.The standard normal. The number of trials is sufficiently large. The Student's t. We assume the population distributions are approximately normal.The standard normal. We assume the population distributions are approximately normal. What is the value of the sample…In a hypothesis test, H0 is p < 0.45 and Ha is p > 0.45. If the test statistic is z = 1.68, what is the P-value? Draw picture and give P-value only. Do not do rest of testing.Would you favor spending more federal tax money on the arts? Of a random sample of n1 = 217 women, r1 = 52 responded yes. Another random sample of n2 = 175 men showed that r2 = 48 responded yes. Does this information indicate a difference (either way) between the population proportion of women and the population proportion of men who favor spending more federal tax dollars on the arts? Use ? = 0.05. (a) What is the level of significance? (b) What is the value of the sample test statistic? (Test the difference p1 − p2. Do not use rounded values. Round your final answer to two decimal places.)(c) Find (or estimate) the P-value. (Round your answer to four decimal places.)
- PC Gaming: A computer magazine editor claims that the mean cost of a gaming computer is $1250. A test is made of =:H0μ1250 versus ≠:H1μ1250. The null hypothesis is not rejected. State an appropriate conclusion.Assuming all conditions for the appropriate test are met, the agriculturalist reported a p-value of 0.072 forthe test. Based on the p-value and = 0.05, would the owner of the farm introduce the ladybugs? Explain your answer.A publisher reports that 46% of their readers own a Jaguar. A marketing executive wants to test the claim that the percentage is actually more than the reported percentage. A random sample of 220 readers found that 50% of the readers owned a Jaguar. Is there sufficient evidence at the 0.05 level of significance to support the executive’s claim? H0: p = 0.46 Ha: p >> 0.46 What is the correct decision for this test? What is your conclusion, in context? Explain your reasoning.
- Try Again Your answer is incorrect. • Your response to number 2 is incorrect. • Your response to number 3 is incorrect. Executives of a supermarket chain are interested in the amount of time that customers spend in the stores during shopping trips. The mean shopping time, µ, spent by customers at the supermarkets has been reported to be 38 minutes, but executives hire a statistical consultant and ask her to determine whether it can be concluded that u is different from 38 minutes. To perform her statistical test, the consultant collects a random sample of shopping times at the supermarkets. She computes the mean of these times to be 45 minutes and the standard deviation of the times to be 15 minutes. Based on this information, answer the questions below. What are the null hypothesis (H) and the alternative hypothesis (H,) that should be used for the test? |Ho:µ is equal to H: u is not equal to 38 v 38 v In the context of this test, what is a Type I error? A Type I error is rejecting…Expedia would like to test the hypothesis that the proportion of United Airline flights that arrive on-time is less than 0.80. A random sample of 110 United Airline flights found that 82 arrived on-time. Expedia would like to set a = 0.02. Which one of the following statements is true? a. Because the p-value is less than a, we reject the null hypothesis and conclude that the proportion of United Airline flights that arrive on-time is less than 0.80. O b. Because the p-value is greater than a, we reject the null hypothesis and cannot conclude that the proportion of United Airline flights that arrive on-time is less than 0.80. C. Because the p-value is less than a, we fail to reject the null hypothesis and cannot conclude that the proportion of United Airline flights that arrive on-time is less than 0.80. d. Because the p-value is greater than a, we fail to reject the null hypothesis and cannot conclude that the proportion of United Airline flights that arrive on-time is less than 0.80.D. Test the hypothesis that Pxy # 0 at the 0.05 level of significance.