As part of the study on ongoing fright symptoms due to exposure to horror movies at a young age, the following table was presented to describe the lasting impact these movies have had during bedtime and waking life:
Waking symptoms |
||||
---|---|---|---|---|
Bedtime symptoms | Yes | No | ||
Yes | 35 | 34 | ||
No | 33 | 17 |
(a) What percent of the students have lasting waking-life
symptoms? (Round your answer to two decimal places.)
%
(b) What percent of the students have both waking-life and bedtime
symptoms? (Round your answer to two decimal places.)
%
(c) Test whether there is an association between waking-life and
bedtime symptoms. State the null and alternative hypotheses. (Use
α = 0.01.)
Null Hypothesis:
A. H0: There is no relationship between waking and bedtime symptoms.
B. H0: Bedtime symptoms cause waking symptoms.
C. H0: Waking symptoms cause bedtime symptoms.
D. H0: There is a relationship between waking and bedtime symptoms.
Alternative Hypothesis:
A. Ha: There is no relationship between waking and bedtime symptoms.
B. Ha: Bedtime symptoms cause waking symptoms.
C. Ha: There is a relationship between waking and bedtime symptoms.
D. Ha: Waking symptoms cause bedtime symptoms.
State the χ2 statistic and the
P-value. (Round your answers for χ2
and the P-value to three decimal places.)
χ2 | = | |
df | = | |
P | = |
Conclusion:
A. We have enough evidence to conclude that there is a relationship.
B. We do not have enough evidence to conclude that there is a relationship.
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