1 Find the number of successes x suggested by the given statement. A computer manufacturer randomly selects 2360 of its computers for quality assurance and finds that 2.54% of these computers are found to be defective. A. 58 B. 60 C. 65 D. 63 1 points Question 2 Use the confidence level and sample data to find a confidence interval for estimating the population m. A group of 56 randomly selected students have a mean score of 30.8 with a standard deviation of 4.5 on a placement test. What is the 90 percent confidence interval for the mean score, m, of all students taking the test? A. 29.6 < m < 32.0 B. 29.2 < m < 32.4 C. 29.4 < m < 32.2 D. 29.8 < m < 31.8 1 points Question 3 Assume that you want to test the claim that the paired data come from a population for which the mean difference is . Compute the value of the test statistic. x 11 5 13 5 9 y 8 7 9 6 4 A. t = 2.890 B. t = 0.578 C. t = 1.292 D. t = 0.415 1 points Question 4 The regression equation relating to attitude rating(x) and job performance rating (y) for the employees of a company is . Ten pairs of data were used to obtain the equation. The same data yield r = 0.863 and . What is the best predicted job performance rating for a person whose attitude rating is 70? A. 83.1 B. 80.1 C. 12.6 D. 81.9 1 points Question 5 Use the given degree of confidence and sample data to construct a confidence interval for the population proportion p. n = 165, x = 138; 95 percent A. 0.790 < p < 0.882 B. 0.780 < p < 0.893 C. 0.779 < p < 0.892 D. 0.791 < p < 0.881 1 points Question 6 Given the linear correlation coefficient r and the sample size n, determine the critical value of r and use your finding to state whether or not the given r represents a significant linear correlation. Use a significance level of 0.05. r = -0.568, n = 25 A. Critical values: r = 0.487, significant linear correlation B. Critical values: r = 0.487, no significant linear correlation C. Critical values: r = 0.396, no significant linear correlation D. Critical values: r = 0.396, significant linear correlation 1 points Question 7 Find the minimum sample size you should use to assure that your estimate of required margin of error around the population p. Margin of error: 0.04; confidence level: 99%; from a prior study, A. 272 B. 563 C. 19 D. 469 1 points Question 8 will be within the estimated by 0.13 Is the data point, P, an outlier, an influential point, both, or neither? A. Both B. Outlier C. Influential point D. Neither 1 points Question 9 Use the given information to find the P-value. The test statistic in a right-tailed test is z = 1.43. A. 0.0764 B. 0.0434 C. 0.4236 D. 0.5000 1 points Question 10 Find the critical value or values of based on the given information. A. 21.666 B. 2.088 C. 20.090 D. 1.646 1 points Question 11 459 randomly selected light bulbs were tested in a laboratory, 291 lasted more than 500 hours. Find a point estimate of the true proportion of all light bulbs that last more than 500 hours. A. 0.634 B. 0.366 C. 0.632 D. 0.388 1 points Question 12 A researcher is interested in estimating the proportion of voters who favor a tax on e-commerce. Based on a sample of 250 people, she obtains the following 99% confidence interval for the population proportion p: 0.113 < p < 0.171 Which of the statements below is a valid interpretation of this confidence interval? 1-There is a 99% chance that the true value of p lies between 0.113 and 0.171. 2-If many different samples of size 250 were selected and, based on each sample, a confidence interval were constructed, 99% of the time the true value of p would lie between 0.113 and 0.171. 3-If many different samples of size 250 were selected and, based on each sample, a confidence interval were constructed, in the long run 99% of the confidence intervals would contain the true value of p. 4-If 100 different samples of size 250 were selected and, based on each sample, a confidence interval were constructed, exactly 99 of these confidence intervals would contain the true value of p. A. 2 B. 3 C. 1 D. 4 1 points Question 13 Determine whether the hypothesis test involves a sampling distribution of means that is a normal distribution, Student t distribution or neither. Claim: m = 977. Sample data: n = 25, normally distributed population with s = 28. A Normal . B. Student t C. Neither 1 points Question 14 , s = 25. The sample data appear to come from a A researcher wishes to test whether the proportion of college students who smoke is the same in four different colleges. She randomly selects 100 students from each college and records the number that smoke. The results are shown below. College A College B College C College D Smoke 17 26 11 34 Don't smoke 83 74 89 66 Use a 0.01 significance level to test the claim that the proportion of students smoking is the same at all four colleges if the test statistic: 2 = 17.832. A. Do not reject the null hypothesis. There is insufficient evidence to warrant rejection of the claim that the proportion of students smoking is the same at all four colleges. B. Reject the null hypothesis. There is not sufficient evidence to warrant rejection of the claim that the proportion of students smoking is the same at all four colleges. C. Reject the null hypothesis. There is sufficient evidence to warrant rejection of the claim that the proportion of students smoking is the same at all four colleges. D. Do not reject the null hypothesis. There is in sufficient evidence to warrant rejection of the claim that the proportion of students smoking is the same at all four colleges. 1 points Question 15 The two data sets are dependent. Find to the nearest tenth. x 12.9 11.3 10.7 12.9 12.9 y 12.6 12.6 10.0 10.7 12.3 A. 0.3 B. 0.5 C. 0.6 D. 0.7