Perform a t Test of significance for individual parameters (a =0.05). Select one: O a. Fail to reject the null hypothesis for both independent variables O b. Reject the null hypothesis for both independent variables O C. Reject the null hypothesis for the second, and fail to reject for the first independent variable O d. Reject the null hypothesis for the first, and fail to reject for the second independent variable

a. State the null and research hypotheses:   H0:   H1:   b. Is the F statistic for Levene’s test significant?   c. What is the alpha level for the t-test?   d. Obtained t-value:   e. Significance level for the t-test:   f. Decision rule:   If the significance level of the obtained t statistic is greater than ____ (alpha level), we fail to reject the null hypothesis.   If the significance level of the obtained t statistic is equal to or less than ____ (alpha level), we reject the null hypothesis.   g. Decision: Since the significance level of the obtained t statistic is _____ and it is __________(greater or less) than ____ (alpha level), we ________(reject or fail to reject) the null hypothesis.   h. Interpretation/conclusion:

Suppose that you are to conduct the following hypothesis test for matched data:   H0:μd=0 H1:μd≠0 For a sample of 16, it was found that d¯=−1.9 and sd=4.59. Determine each of the following: The value of the test statistic:   For ?α = 0.025, the final conclusion is A. There is enough evidence to say that ??=0μd=0B. There is not enough evidence to say that ??=0μd=0C. There is enough evidence to say that ??≠0μd≠0D. There is not enough evidence to say that ??≠0μd≠0.

Normally only about 19% of people who try to quit smoking succeed, but sellers of a motivational tape claim that listening to their recorded messages can help people quit (i.e., more than 19% of the people who use the tapes will successfully quit). Let p represents the percentage of people who have listened to the recorded messages and have successfully quit. Match the appropriate null and alternative hypotheses, based on the sellers' claim. H,: p = 0.19 p> 0.19 p2 0.19 ps 0.19 p 0.19 p2 0.19 ps 0.19 p < 0.19 Op- 0.19 Do you consider a Type I or Type Il error a more serious mistake here? Why? Your answer should make it clear what Type I and Il errors are in this context.

Suppose that we have a problem for which the null and alternative hypothesis are given by: H0: μ = $1250. H1:μ ≠ $ 1250 Is this a right-tailed test, left-tailed test, or two-tailed test. Find the z value based on a level of significance of α=.12.

Laura asks whether the type of school students attend (private versus public) results in different performance on a test. A sample of N=100 students from a private school produce a mean of 71.30 on a test, and the mean of the population of public school students is µ=75.62 with ?௫ =28. a. Write the alternative hypothesis. b. Write the null hypothesis. c. With α=.05, what is zcrit? d. Compute zobt e. What should Laura conclude?

11.20 Refer to Exercise 11.18. Conduct a test of the null hypothesis that b1= 0. Use a =0.05.

The following table contains observed frequencies for a sample of 200. Row Variable P Q Column Variable A B C 16 40 46 34 30 34 Test for independence of the row and column variables using a = 0.05. State the null and alternative hypotheses. O Ho: Variable P is not independent of variable Q. H: Variable P is independent of variable Q. O Ho: The column variable is independent of the row variable. H₂: The column variable is not independent of the row variable. a O Ho: The column variable is not independent of the row variable. H₂: The column variable is independent of the row variable. O Ho: Variable P is independent of variable Q. H₂: Variable P is not independent of variable Q. Find the value of the test statistic. (Round your answer to three decimal places.) Find the p-value. (Round your answer to four decimal places.) p-value = State your conclusion. O Reject Ho. We conclude that the column and row variables are independent. O Do not reject Ho. We cannot conclude that there is an…