The provided sample means are shown below:
\
Also, the provided sample standard deviations are:
and the sample sizes are n_1 = 6 and n_2 = 6
(1) Null and Alternative Hypotheses
The following null and alternative hypotheses need to be tested:
Ho: μ1 - μ2 = -10
Ha: μ1 - μ2 < -10
This corresponds to a left-tailed test, for which a t-test for two population means, with two independent samples, with unknown population standard deviations will be used.
(2) Rejection Region
Based on the information provided, the significance level is α=0.01, and the degrees of freedom are df = 10. In fact, the degrees of freedom are computed as follows, assuming that the population variances are equal:
Hence, it is found that the critical value for this left-tailed test is t_c = -2.764 , for α=0.01 and df = 10
(3) Test Statistics
Since it is assumed that the population variances are equal, the t-statistic is computed as follows:
= -1.735
(4) Decision about the null hypothesis
Since it is observed that t = -1.735 > t_c = -2.764, it is then concluded that the null hypothesis is not rejected.
(5) Conclusion
It is concluded that the null hypothesis Ho is rejected. Therefore, there is not enough evidence to claim that population mean μ1- μ2 is less than -10, at the 0.01 significance level.
The difference in stopping distance of two cars is - 10
Suppose ui and M2 are true mean stopping distances (in feet) at 50 mph for cars...
Suppose μ1 and μ2 are true mean stopping distances at 50 mph for cars of a certain type equipped with two different types of braking systems. Use the two-sample t test at significance level 0.01 to test H0: μ1 − μ2 = −10 versus Ha: μ1 − μ2 < −10 for the following data: m = 6, x = 114.5, s1 = 5.01, n = 6, y = 129.2, and s2 = 5.32. Calculate the test statistic and determine the...
Suppose μ1 and μ2 are true mean stopping distances at 50 mph for cars of a certain type equipped with two different types of braking systems. Use the two-sample t test at significance level 0.01 to test H0: μ1 − μ2 = −10 versus Ha: μ1 − μ2 < −10 for the following data: m = 7, x = 114.6, s1 = 5.03, n = 7, y = 129.4, and s2 = 5.35. Calculate the test statistic and determine the...
Suppose μ1 and μ2 are true mean stopping distances at 50 mph for cars of a certain type equipped with two different types of braking systems. Use the two-sample t test at significance level 0.01 to test H0: μ1 − μ2 = −10 versus Ha: μ1 − μ2 < −10 for the following data: m = 9, x = 114.5, s1 = 5.02, n = 9, y = 129.6, and s2 = 5.34. Calculate the test statistic and determine the...
Suppose μ1 and μ2 are true mean stopping distances at 50 mph for cars of a certain type equipped with two different types of braking systems. The data follows: m = 8, x = 115.8, s1 = 5.04, n = 8, y = 129.7, and s2 = 5.33. Calculate a 95% CI for the difference between true average stopping distances for cars equipped with system 1 and cars equipped with system 2. (Round your answers to two decimal places.) ,...
Suppose M1 and 42 are true mean stopping distances at 50 mph for cars of a certain type equipped with two different types of braking systems. The data follows: m = 5, x = 115.4, S4 = 5.04, n = 5, y = 129.5, and s2 = 5.35. Calculate a 95% CI for the difference between true average stopping distances for cars equipped with system 1 and cars equipped with system 2. (Round your answers to two decimal places.) Does...
Suppose ?1 and ?2 are true mean stopping distances at 50 mph for cars of a certain type equipped with two different types of braking systems. Use the two-sample t test at significance level 0.01 to test H0: ??-?2--10 versus Hai ??-?2 -10 for the following data: m = 5, x-114.5, si-5.05, n = 5, y = 129. 2, and s2-5.36. Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value...
Suppose u, and u, are true mean stopping distances at 50 mph for cars of a certain type equipped with two different types of braking systems. Use the two-sample t test at significance level 0.01 to test Ho: M, - uy = -10 versus H: Uy-< -10 for the following data: m = 7, x = 114.8, 9, = 5.07, n = 7, y = 129.4, and s, = 5.33. Calculate the test statistic and determine the P-value. (Round your...
Answer the following question
Suppose wi and are true mean stopping distances at SO mph for cars of a certain type equipped with two different types of braking systems. The data follows: m =B * 115.7, S, - 5.08, n = 3,7 = 129.9, and 52 - 5.31. Calculate a 95% CI for the difference between true average stopping distances for cars equipped with system 1 and cars equipped with system 2. (Round your answers to two decimal places.) Does...
Suppose, and level 0.01 to test H are true mean stopping distances at 50 mph for cars of a certain type equipped with two different types of braking systems. Use the two-sample test at significance H - - -10 versus - # < -10 for the following data: m., 113.2, 5.0, - 129.3, and s, - 5.35. Calculate the test statistic and determine the P-value. (Round your test statistic to two decintal places and your value to three decimal places)...
Suppose u, and u, are true mean stopping distances at 50 mph for cars of a certain type equipped with two different types of braking systems. Use the two-sample t test at significance level 0.01 to test Ho - -10 versus H,:,-2-10 for the following data: m 6, x 114,3, s,-5.04, n-6, y 129.2, and s, 5.37 Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to three decimal places.)...