The following hypothesis-testing situation is given:   H0: π ≤ .50 and H1: π > .50. The significance level is .10, and the sample size is 12.     a. What is the decision rule? b. There were nine successes. What is your decision regarding the null hypothesis? Explain.

If N = 64, write the decision rules for a single-sample t test. Assume that the test is two-tailed and alpha is set a .05

Dr. Kijowski is concerned about student phone use, so she collects information on the number of text messages that each student sent on a particular day. The boxplot below shows the results.   Based on the boxplot, which of the following is the most reasonable conclusion? a. There are more people with data values below the median than there are people with data values above the median. Selected:b. There are more people with data values between the first quartile and the median than there are people with data values between the median and the third quartile.This answer is incorrect. c. There are fewer people with data values between the first quartile and the median than there are people with data values between the median and the third quartile. d. There are approximately the same number of people with data values between the first quartile and the minimum as there are people with data values between the third quartile and the maximum. e. The data are less spread out between the…

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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.

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A plumber was interested in determining whether there is a significant difference in the price charged for plumbing tools by two hardware stores. The plumber selected five tools and recorded the price for each tool in each store. The following data was recorded: Store 1 2 Tool 2 R59.25 R22.50 R450 R44.25 R22.50 R36.75 R75 4 R480 R44.25 R60 Perform the appropriate test of hypothesis to determine whether there is a significant difference, on average, in the price of plumbing tools between the two stores, showing all 7 steps. Include both the rejection region and the p-value.

Q6: Briefly, explain the importance of the tests shown in the following table in Hypothesis testing. Kolmogorov-Smimov Weight gain: Regular Diet Keto-Diet Statistic 0.360 0.146 df Sig. 8 .000 10 0.234 Shapiro-Wilk Statistic df 0.827 0.966 8 10 Sig. 0.021 0.850

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