Question

9-16 A car manufacturer is trying to develop a new sports car. Engineers are hoping that the average amount of time that the car takes to go from 0 to 60 miles per hour is below 6 seconds. The manufacturer tested 12 of the cars and clocked their performance times. Three of the cars clocked in at 5.8 seconds, 5 cars at 5.9 seconds, 3 cars at 6.0 seconds, and 1 car at 6.1 seconds. At the 5% level of significance, test if the new sports car is meeting its goal to go from 0 to 60 miles per hour in less than 6 seconds. Assume a normal distribution for the analysis. (You may find it useful to reference the appropriate table: z table or t table)

a. Specify the competing hypotheses to test this belief.

• H₀: μ = 6; H_A: μ ≠ 6

• H₀: μ ≥ 6; H_A: μ < 6

• H₀: μ ≤ 6; H_A: μ > 6

b. Calculate the value of the test statistic. (Negative value should be indicated by a minus sign. Round intermediate calculations to at least 4 decimal places and final answer to 3 decimal places.)

c. Find the p-value.

• p-value ≤ 0.01

• 0.01 < p-value ≤ 0.025

• 0.025 < p-value ≤ 0.05

• 0.05 < p-value ≤ 0.10

• p-value > 0.10

d. Use α = 0.05 to test if the new sports car is meeting its goal.

(Reject Ho or Do not reject Ho) at the 5% significance, we (can, can not) conclude that the average clock time of all cars is less than 6 seconds.

Answer 1