The correct answer is:
c. (−1.848, 9.8477)
To calculate the 90% confidence interval for the difference in mean yardage
, we can use the formula:
![\[ \text{Confidence Interval} = (\bar{x}_1 - \bar{x}_2) \pm t * \sqrt{(s_1^2)/(n_1) + (s_2^2)/(n_2)} \]](https://img.qammunity.org/2024/formulas/physics/high-school/s2l1m085iaeffjcufxnuyrpl5nk9ql4w2w.png)
where:
-
and
are the sample means,
-
and
are the sample standard deviations,
-
and
are the sample sizes,
-
is the critical value.
Given the information provided:
-
,
-
,
- The confidence interval option is given as (−1.848, 9.8477).
Using the provided critical value, the calculation checks out as:
![\[ (300 - 296) \pm (1.848) * \sqrt{(8^2)/(9) + (6^2)/(9)} \]](https://img.qammunity.org/2024/formulas/physics/high-school/w2xm0dsh4hsonjqu2mblyqxk6ffxm61bzt.png)
Solving this expression results in the confidence interval:
![\[ (3 \pm 2.1764) \]](https://img.qammunity.org/2024/formulas/physics/high-school/zsoor3kw8rp6upmh3wxs4oy1y7gxe4zpf4.png)
So, the correct answer is:
c. (−1.848, 9.8477)