The statistic software output for this problem is:
Test statistics = -2.03
The data to the right show the average retirement ages for a random sample of workers...
The data to the right show the average retirement ages for a random sample of workers in Country A and a random sample of workers in Country B. Complete parts a and b Country A 65.2 years 30 Country B 66.8 years 30 Sample mean Sample size Population standard deviation 4.5 years 5.1 years a. Perform a hypothesis test using α= 0.05 to determine if the average retirement age in Country B is higher than it is in Country A....
The data to the right show the average retirement ages for a random sample of workers in Country A and a random sample of workers in Country B. Complete parts a and b. Country A Country B Sample mean 0064.9 years 0067.5 years Sample size 0030 0030 Population standard deviation 0004.4 years 0005.2 years nbsp a. Perform a hypothesis test using alpha equals0.05 to determine if the average retirement age in Country B is higher than it is in Country...
City A $359.91 31 City B $380.05 The data to the right show the average monthly utility bills for a random sample of households in City A and for a random sample of households in City B. 38 Sample mean Sample size Population standard deviation $54 $65 a. Perform a hypothesis test using a = 0.05 to determine if there is a difference between the mean utility bills in these two cities. b. Determine the p-value and interpret the results....
City A $399.17 City B $436.53 The data to the right show the average monthly utility bills for a random sample of households in City A and for a random sample of households in City Sample size Sample mean 32 36 B. Population standard deviation $50 $47 a. Perform a hypothesis test using a 0.10 to determine if there is a difference between the mean utility bills in these two cities. b. Determine the p-value and interpret the results. a....
As the population ages, there is increasing concern about accident-related injuries to the elderly. An article reported on an experiment in which the maximum lean angle-the farthest a subject is able to lean and still recover in one step-was determined for both a sample of younger females (21-29 years) and a sample of older females (67-81 years). The following observations are consistent with summary data given in the article: YF: 28, 36, 31, 27, 28, 32, 31, 36, 32, 26...
A random sample of 49 measurements from one population had a sample mean of 18, with sample standard deviation 5. An independent random sample of 64 measurements from a second population had a sample mean of 21, with sample standard deviation 6. Test the claim that the population means are different. Use level of significance 0.01. (a) What distribution does the sample test statistic follow? Explain. The standard normal. We assume that both population distributions are approximately normal with unknown...
A random sample of size n= 15 obtained from a population that is normally distributed results in a sample mean of 45.8 and sample standard deviation 12.2. An independent sample of size n = 20 obtained from a population that is normally distributed results in a sample mean of 51.9 and sample standard deviation 14.6. Does this constitute sufficient evidence to conclude that the population means differ at the a = 0.05 level of significance? Click here to view the...
Question 42 2 pts 42. To test the claim that o > 3.1, a random sample of size n=15 is obtained from a population that is known to be normally distributed. Use s2 = 1.52 and a = 0.05 level of significance. Answer questions 42 through 43. State the null and alternate hypotheses. HO: 0 < 3.1; H1: 0 = 3.1 Left Tailed Test HO: 0 = 3.1; H1: 0 < 3.1 Left Tailed Test HO:0 > 3.1; H1: 0...
Independent random samples were selected from two quantitative populations, with sample sizes, means, and variances given below. Sample Size Sample Mean Sample Variance Population 1 2 34 45 9.8 7.5 10.83 16.49 State the null and alternative hypotheses used to test for a difference in the two population means. O Ho: (41 - H2) = 0 versus Ha: (41 - M2) > 0 Ho: (41 – 12) # O versus Ha: (H1 - H2) = 0 HO: (41 – My)...
Test whether Hy <H2 at the a=0.05 level of significance for the sample data shown in the accompanying table. Assume that the populations are normally distributed. Click the icon to view the data table. Determine the null and alternative hypothesis for this test. Sample Data O A. Ho:P1 = H2 H7:41 +42 OB. Ho:14 42 H1 H1 H2 n Population 1 31 103.5 12.3 Population 2 25 114.5 © C. How * P2 HM1 <H2 OD. Ho H1 H2 H1:21...