An adventure company runs two obstacle courses, Fundash and Coolsprint, with similar designs. Since Fundash was built on rougher terrain, the designer of the courses suspects that the mean completion time of Fundash is greater than the mean completion time of Coolsprint. To test this, she selects

300

Fundash runners and

295

Coolsprint runners. (Consider these as independent random samples of the Fundash and Coolspring runners.) The

300

Fundash runners complete the course with a mean time of

78.1

minutes and a standard deviation of

7.6

minutes. The

295

individuals complete Coolsprint with a mean time of

77.1

minutes and a standard deviation of

6.1

minutes. Assume that the population standard deviations of the completion times can be estimated to be the sample standard deviations, since the samples that are used to compute them are quite large. At the

0.10

level of significance, is there enough evidence to support the claim that the mean completion time,

1

, of Fundash is greater than the mean completion time,

2

, of Coolsprint? Perform a one-tailed test. Then complete the parts below.

Carry your intermediate computations to at least three decimal places. (If necessary, consult a list of formulas.)

(a)	State the null hypothesis H0 and the alternative hypothesis H1 .
H0: example this has to be something like u1-u2=0
H1: same here
(b)	Determine the type of test statistic to use.
	(Choose one)
(c)	Find the value of the test statistic. (Round to three or more decimal places.)
(d)	Find the p-value. (Round to three or more decimal places.)
(e)	Can we support the claim that the mean completion time of Fundash is greater than the mean completion time of Coolsprint?
Yes No