Assume the population standard deviation is 4.2 feet.

Assume the population standard deviation is 4.2 feet.

To compare the dry braking distances from 30 to 0 miles per hour for two makes of automobiles, a safety engineer conducts braking tests for 35 models of Make A and 35 models of Make B. The mean braking distance for Make A is 42 feet. Assume the population standard deviation is 4.6 feet. The mean braking distance for Make B is 43 feet. Assume the population standard deviation is 4.2 feet. At a = 0.10, can the engineer support the claim that the mean braking distances are different for the two makes of automobiles? Assume the samples are random and independent, and the populations are normally distributed. Complete parts (a) through (e). Click here to view page 1 of the standard normal distribution table. Click here to view page 2 of the standard normal distribution table. (a) Identify the claim and state Ho and Ha What is the claim? O A. The mean braking distance is less for Make A automobiles than Make B automobiles B. The mean braking distance is greater for Make A automobiles than Make B automobiles. OC. The mean braking distance is the same for the two makes of automobiles. D. The mean braking distance is different for the two makes of automobiles. Click to select your answer(s).

To compare the dry braking distances from 30 to 0 miles per hour for two makes of automobiles, a safety engineer conducts braking tests for 35 models of Make A and 35 models of Make B. The mean braking distance for Make A is 42 feet. Assume the population standard deviation is 4.6 feet. The mean braking distance for Make B is 43 feet. Assume the population standard deviation is 4.2 feet. At a = 0.10, can the engineer support the claim that the mean braking distances are different for the two makes of automobiles? Assume the samples are random and independent, and the populations are normally distributed. Complete parts (a) through (e). Click here to view page 1 of the standard normal distribution table. Click here to view page 2 of the standard normal distribution table. What are Ho and H? O A. Ho: Hq SH2 H:H1>H2 OD. Ho-H1 H2 HaiH SH2 OB. Ho: 112 H: “12 O E. Ho H2H2 H:H<H2 Oc. Ho : Hy <H2 Hailta ZH2 OF. Ho H4 =12 Hail #12 (b) Find the critical value(s) and identify the relection reqion(s). Click to select your answer(s).

To compare the dry braking distances from 30 to 0 miles per hour for two makes of automobiles, a safety engineer conducts braking tests for 35 models of Make A and 35 models of Make B. The mean braking distance for Make A is 42 feet. Assume the population standard deviation is 4.6 feet. The mean braking distance for Make B is 43 feet. Assume the population standard deviation is 4.2 feet. At a = 0.10, can the engineer support the claim that the mean braking distances are different for the two makes of automobiles? Assume the samples are random and independent, and the populations are normally distributed. Complete parts (a) through (e). Click here to view page 1 of the standard normal distribution table. Click here to view page 2 of the standard normal distribution table, (b) Find the critical value(s) and identify the rejection region(s). The critical value(s) is/are . (Round to three decimal places as needed. Use a comma to separate answers as needed.) What is/are the rejection region(s)? OA. Z< -2.58, z > 2.58 C7<-2 81 7 – R1 OB Z-2.81 7>2 575 Click to select your answer(s). 2

To compare the dry braking distances from 30 to Omiles per hour for two makes of automobiles, a safety engineer conducts braking tests for 35 models of Make A and 35 models of Make B. The mean braking distance for Make A is 42 feet. Assume the population standard deviation is 4.6 feet. The mean braking distance for Make B is 43 feet. Assume the population standard deviation is 4.2 feet. At a = 0.10, can the engineer support the claim that the mean braking distances are different for the two makes of automobiles? Assume the samples are random and independent, and the populations are normally distributed. Complete parts (a) through (e). Click here to view page 1 of the standard normal distribution table. Click here to view page 2 of the standard normal distribution table. WIR Worry A. Z< -2.58, z>2.58 OC. z<-2.81, z> – 2.81 OEZ< -2.575, z>2.575 OG Z< -2.58 B. z<-2.81 D. Z>2.875 OF 2 -1.96, z> 1.96 O H. z<- 1.645, > 1.645 (c) Find the standardized test statistic z for H1 H2 Click to select your answer(s). 2

To compare the dry braking distances from 30 to 0 miles per hour for two makes of automobiles, a safety engineer conducts braking tests for 35 models of Make A and 35 models of Make B. The mean braking distance for Make A is 42 feet. Assume the population standard deviation is 4.6 feet. The mean braking distance for Make B is 43 feet. Assume the population standard deviation is 4.2 feet. At a=0.10, can the engineer support the claim that the mean braking distances are different for the two makes of automobiles? Assume the samples are random and independent, and the populations are normally distributed. Complete parts (a) through (e) Click here to view page 1 of the standard normal distribution table. Click here to view page 2 of the standard normal distribution table. TOGO TO O A. z<-2.58, z>2.58 OC. z< -2.81, z> -2.81 OE. Z< -2.575, 2 > 2.575 O G. 2-2.58 OB. Z-2.81 OD. Z>2.875 OF Z-1.96, z> 1.96 O H.2 – 1.645, z > 1.645 (c) Find the standardized test statistic z for H1 H2

To compare the dry braking distances from 30 to Omiles per hour for two makes of automobiles, a safety engineer conducts braking tests for 35 models of Make A and 35 models of Make B. The mean braking distance for Make A is 42 feet. Assume the population standard deviation is 4.6 feet. The mean braking distance for Make B is 43 feet. Assume the population standard deviation is 4.2 feet. At a =0.10, can the engineer support the claim that the mean braking distances are different for the two makes of automobiles? Assume the samples are random and independent, and the populations are normally distributed. Complete parts (a) through (e). Click here to view page 1 of the standard normal distribution table. Click here to view page 2 of the standard normal distribution table. (C) Fina the standardizea test stausuc z tor 14H2 .95 (Round to three decimal places as needed.) (d) Decide whether to reject or fail to reject the null hypothesis. Choose the correct answer below. z = A. Reject Ho. The standardized test statistic falls in the rejection region. OB. Fail to reject Ho. The standardized test statistic does not fall in the rejection region, Fail to relect Ha The standardized test statistic falls in the election racion Click to select your answer(s).

To compare the dry braking distances from 30 to 0 miles per hour for two makes of automobiles, a safety engineer conducts braking tests for 35 models of Make A and 35 models of Make B. The mean braking distance for Make A is 42 feet. Assume the population standard deviation is 4.6 feet. The mean braking distance for Make B is 43 feet. Assume the population standard deviation is 4.2 feet. At a = 0.10, can the engineer support the claim that the mean braking distances are different for the two makes of automobiles? Assume the samples are random and independent, and the populations are normally distributed. Complete parts (a) through (e). Click here to view page 1 of the standard normal distribution table. Click here to view page 2 of the standard normal distribution table. C. Fail to reject Ho. The standardized test statistic falls in the rejection region. D. Reject Ho. The standardized test statistic does not fall in the rejection region. A (e) Interpret the decision in the context of the original claim. At the 10% significance level, there is the claim that the mean braking distance for Make A automobiles is the one for Make B automobiles. evidence to Click to select your answer(s). ?