Which of the following would be an appropriate null hypothesis? A. The mean of a population is equal to 55. B. The mean of a sample is equal to 55. OC. The mean of a population is greater than 55. OD. Only (a) and (c) are true. Question 2 of 13 Which of the following would be an appropriate alternative hypothesis? A. The mean of a population is equal to 55. OB. The mean of a sample is equal to 55. OC. The mean of a population is greater than 55. D. The mean of a sample is greater than 55. 0.2
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- K Conduct a test at the α = 0.05 level of significance by determining (a) the null and alternative hypotheses, (b) the test statistic, and (c) the P-value. Assume the samples were obtained independently from a large population using simple random sampling. Test whether p₁> P2. The sample data are x₁ = 116, n₁ = 244, x2 = 132, and n₂ = 313. (a) Choose the correct null and alternative hypotheses below. OA. Ho P1 P2 versus H₁: P1 P2 OB. Ho P₁ P2 versus H₁: P₁ P2 OD. Ho p₁ =0 versus H₁:.p₁ #0 (b) Determine the test statistic. Zo= (Round to two decimal places as needed.) (c) Determine the P-value. The P-value is (Round to three decimal places as needed.) What is the result of this hypothesis test? OA. Do not reject the null hypothesis because there is not sufficient evidence to conclude that p₁ #p2- OB. Do not reject the null hypothesis because there is not sufficient evidence to conclude that p₁ P2- OD. Reject the null hypothesis because there is sufficient evidence to conclude that p₁…The standard deviation of.alt=”f$ar{X},f$ “> is usually called the A.standard error of the sample B.randomized standard error C.standard error of the mean D.standard error of the population13. Under the sampling method the term __________ is used for the entire group for which we want to draw conclusions. a. Probability b. Non-Parametric c. Population d. Sample
- The sample size of a test of controls varies inversely with: Expected Population Tolerable deviation rate Rate A. Yes Yes B. No No C. Yes No D. No YesIf Durbin Watson test statistic = 2.11. What do you conclude?You are testing the null hypothesis that there is no relationship between two variables. X and Y. From your sample of n = 20, you determine that SSR-80 and SSE 20. Complete parts (a) through (e) below. a. What is the value of FSTAT? State the hypotheses to test. Choose the correct answer below. OA Ho B₁50 H₁: B₁>0 OC. Ho B₁0 FSTAT H₁: B₁ =0 =72 (Round to the nearest integer as needed.) b. At the a=0.05 level of significance, what is the critical value? The critical value is 4.41 (Round to two decimal places as needed.) c. Based on your answers to (a) and (b), what statistical decision should you make? OA. Reject Ho. There is no evidence that there is a relationship between X and Y. OB. Do not reject Ho. There is no evidence that there is a relationship between X and Y. OC. Do not reject Ho. There is evidence that there is a relationship between X and Y. D. Reject Ho. There is evidence that there is a relationship between X and Y. d. Compute the correlation coefficient by first…
- You are testing the null hypothesis that there is no relationship between two variables, X and Y. From your sample of n = 20, you determine that SSR = 80 and SSE 20. Complete parts (a) through (e) below. a. What is the value of FSTAT? State the hypotheses to test. Choose the correct answer below. OA H B₁50 H₁ B₁0 OC. Ho B₁ #0 H₁ = B₁ = 0 = 72 (Round to the nearest integer as needed) FSTAT = b. At the a=0.05 level of significance, what is the critical value? The critical value is 4.41 (Round to two decimal places as needed.) c. Based on your answers to (3) and (b), what statistical decision should you make? A. Reject H. There is no evidence that there is a relationship between X and Y. OB. Do not reject H. There is no evidence that there is a relationship between X and Y. OC. Do not reject H,. There is evidence that there is a relationship between X and Y D. Reject H. There is evidence that there is a relationship between X and Y. d. Compute the correlation coefficient by first…Review each of the following independent sets of conditions. For each condition, calculatethe (1) sample rate of deviation, (2) ULRD, and (3) allowance for sampling risk (n = samplesize, d = deviations, ROO = risk of overreliance). What is your conclusion regarding therelationship of each of these factors to the ULRD based on comparing the ULRD across different combinations of these factors?a. n = 100, d = 8, ROO = 5%.b. n = 100, d = 4, ROO = 5%.c. n = 100, d = 8, ROO = 10%1. Which of the following would be designed to estimate a numerical measurement of a population, such as monetary value?* A. Sampling for variables B. Sampling for attributes C. Sequential sampling D. Discovery sampling E. None of them
- The interpretation of the ULRD in an attributes sampling application isa. The estimated rate of deviation in the population with probability equal to the risk ofoverreliance that the population deviation rate is higher.b. The estimated rate of deviation in the population with probability equal to the risk ofoverreliance that the actual rate of deviation is lower.c. The estimated rate of deviation in the population with certainty that the actual rate ofdeviation is lower.d. The estimated rate of deviation in the population with certainty that the actual rate ofdeviation is higher.Exercise 14-11 Algo The following table lists the National Basketball Association's leading scorers, their average points per game (PPG), and their average minutes per game (MPG) for 2008. [You may find it useful to reference the t table.) MPG PPG 30.4 D. Hade 37.8 36.8 L. Janes 30.4 28.5 35.3 K. Bryant D. Nowitzki D. Granger K. Durant C. Paul C. Anthony C. Bosh B. Roy bo 27.7 36.4 27.6 27.1 24.6 35.5 38.4 37.9 24.6 34.1 24.5 24.4 37.5 36.7 Cick here for the Excel Data File a-1. Calculate the sample correlation coefficient between PPG and MPG, (Round intermediate calculations to at least 4 decimal places and final answer to 4 decimel places.) Sample correlation coefficientConsider a sample with data values of 10, 20, 12, 17, and 16. a. Compute the mean and median. b. Consider a sample with data values 10, 20, 12, 17, 16, and 12. How would you expect the mean and median for these sample data to compare to the mean and median for part a (higher, lower, or the same)? Compute the mean and median for the sample data 10, 20, 12, 17, 16, and 12.