Question

ch 18 when designing a test of inference, which of the following will increase the power of the test? increasing the effect size increasing the sample size increasing the significance level question 6 1 pts ch 18* the coach of a college mens soccer team records the resting heart rates of the 27 team members. you should not trust a confidence interval for the mean resting heart rate of all male students at this college based on these data because the members of the soccer team cant be considered a random sample of all students. heart rates may not have a normal distribution. with only 27 observations, the margin of error will be large. question 7 1 pts ch 18 the significance level, α, is defined as the probability that the power of the test is at least 0.9. the probability of a type i error. the probability of a type ii error.

Explanation:

• Question 6: Confidence intervals assume random sampling. Since the soccer - team members are not a random sample of all male students, we can't trust the confidence interval for all male students.
• Question 7: The significance level, $\alpha$, is defined as the probability of a Type I Error (rejecting a true null hypothesis).

Answer:

• Question 6: the members of the soccer team can't be considered a random sample of all students.
• Question 7: the probability of a Type I Error.