Introduction to Hypothesis Testing Answers

p = the true proportion of free throws made by the basketball player =

The P-value of a test is the of getting evidence for the as strong or stronger than the observed evidence when the is .

The P-value of a test is the of getting evidence for the as strong or stronger than the observed evidence when the is .

The P-value of a test is the of getting evidence for the as strong or stronger than the observed evidence when the is .

Does this scenario describe a one-sided or a two-sided test?

The P-value of a test is the of getting evidence for the as strong or stronger than the observed evidence when the is .

Assuming the true proportion of teens who text while driving is p = , there is a probability of getting a sample proportion of 0.653 or lower just by chance in a random sample of students.

If the P-value is less than the alpha level:

Assuming the true proportion of teens who text while driving is p = , there is a probability of getting a sample proportion of 0.653 or lower just by chance in a random sample of students.

Assuming the true proportion of teens who text while driving is p = , there is a probability of getting a sample proportion of 0.653 or lower just by chance in a random sample of students.