Alex's times for running a mile are normally distributed with a mean time of 5.28 minutes and a standard deviation of 0.38 minutes. Chris's times for running a mile are normally distributed with a mean time of 5.45 minutes and a standard deviation of 0.2 minutes. Ten of Alex's times and 15 of Chris's times are randomly selected.

Let [tex]\bar{x}_A - \bar{x}_C[/tex] represent the difference in the mean times for Alex and Chris. Which of the following represents the mean of the sampling distribution for [tex]\bar{x}_A - \bar{x}_C[/tex]?

A. [tex]-0.17[/tex]
B. 0.17
C. [tex]-0.18[/tex]
D. 0.18



Answer :

To find the mean of the sampling distribution for the difference in the mean times (denoted as [tex]\(\bar{x}_A - \bar{x}_C\)[/tex]) between Alex and Chris, we can follow these steps:

1. Identify the population means for both Alex and Chris:
- The mean time for Alex is [tex]\(\mu_A = 5.28\)[/tex] minutes.
- The mean time for Chris is [tex]\(\mu_C = 5.45\)[/tex] minutes.

2. The mean of the sampling distribution for the difference in means is given by the difference in the population means:
[tex]\[ \mu_{\bar{X}_A - \bar{X}_C} = \mu_A - \mu_C \][/tex]

3. Substitute the values of [tex]\(\mu_A\)[/tex] and [tex]\(\mu_C\)[/tex] into the formula:
[tex]\[ \mu_{\bar{X}_A - \bar{X}_C} = 5.28 - 5.45 \][/tex]

4. Calculate the difference:
[tex]\[ 5.28 - 5.45 = -0.17 \][/tex]

Therefore, the mean of the sampling distribution for [tex]\(\bar{x}_A - \bar{x}_C\)[/tex] is [tex]\(-0.17\)[/tex].

So, the correct answer is [tex]\(\boxed{-0.17}\)[/tex].