H0: the true proportion of free throws made by the basketball player is 0.75
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 .
The P-value of a test is the probability of getting evidence for the alternative hypothesis, Ha, as strong or stronger than the observed evidence, when:
For an unknown scenario, which set of hypotheses could be correct?


If the P-value is less than the alpha level:
What decision should be made at ?

Does this scenario describe a one-sided or a two-sided test?
p = the true proportion of convention attendees satisfied with the food =
The P-value of a test is the of getting evidence for the as strong or stronger than the observed evidence when the is .
H0: the true proportion of convention attendees satisfied with the food 0.22
Ha: the true proportion of free throws made by the basketball player is 0.75
Ha: the true proportion of convention attendees satisfied with the food 0.22
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