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 P-value.
(Round your test statistic to two decimal places and your
P-value to three decimal places.)
t=
p-value=
The test statistic t = ((x - y) - ())/sqrt(s1^2/m + s2^2/n)
= (114.5 - 129.2 + 10)/sqrt((5.01)^2/6 + (5.32)^2/6) = -1.58
Df = (s1^2/m + s2^2/n)^2/((s1^2/m)^2/(m - 1) + (s2^2/n)^2/(n - 1))
= ((5.01)^2/6 + (5.32)^2/6)^2/(((5.01)^2/6)^2/5 + ((5.32)^2/6)^2/5) = 10
P-value = P(T < -1.58)
= 0.073
Suppose μ1 and μ2 are true mean stopping distances at 50 mph for cars of a...
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. 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...
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