AnswersCA-Statistics and Probability BIntroduction to Hypothesis Testing

Introduction to Hypothesis Testing Answers

18 verified answers1 views
3

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

A
null hypothesis
B
alternative hypothesis
C
one-sided hypothesis
D
two-sided hypothesis
6

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:

A
the alternative hypothesis, Ha, is false.
B
the alternative hypothesis, Ha, is true.
C
the null hypothesis, H0, is false.
D
the null hypothesis, H0, is true.
8

For an unknown scenario, which set of hypotheses could be correct?

A
H0: p > 0.5 Ha: p < 0.5
B
H0: p = 0.5 Ha: p > 0.5
C
H0: = 0.5 Ha: < 0.5
Option C
D
H0: p 0.5 Ha: p = 0.5
Option D
9

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

A
accept the alternative hypothesis.
B
reject the alternative hypothesis.
C
reject the null hypothesis.
D
fail to reject the null hypothesis.
10

What decision should be made at ?

Question illustration
A
Reject the null hypothesis.
B
Fail to reject the null hypothesis.
C
Accept the alternative hypothesis.
D
Reject the alternative hypothesis.
11

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

A
one-sided
B
two-sided
C
not enough information
13

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

A
null hypothesis
B
alternative hypothesis
C
one-sided hypothesis
D
two-sided hypothesis
15

H0: the true proportion of convention attendees satisfied with the food 0.22

A
equals
B
is less than
C
is greater than
D
is not equal to
18

Ha: the true proportion of convention attendees satisfied with the food 0.22

A
equals
B
is less than
C
is greater than
D
is not equal to

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