As part of the study on ongoing fright symptoms due to exposure to horror movies
ID: 3358136 • Letter: A
Question
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:
(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 = 0.01.)
Null Hypothesis:
a. H0: Waking symptoms cause bedtime symptoms.
b. H0: Bedtime symptoms cause waking symptoms.
c. H0: There is a relationship between waking and bedtime symptoms.
d. H0: There is no relationship between waking and bedtime symptoms.
Alternative Hypothesis:
a. Ha: There is a relationship between waking and bedtime symptoms.
b. Ha: There is no relationship between waking and bedtime symptoms.
c. Ha: Waking symptoms cause bedtime symptoms.
d. Ha: Bedtime symptoms cause waking symptoms.
State the 2 statistic and the P-value. (Round your answers for 2 and the P-value to three decimal places.)
Conclusion:
a. We do not have enough evidence to conclude that there is a relationship.
b. We have enough evidence to conclude that there is a relationship.
Wakingsymptoms Bedtime symptoms Yes No Yes 35 32 No 34 18
Explanation / Answer
The statistical software output for this problem is:
Contingency table results:
Rows: Symptoms
Columns: None
Chi-Square test:
Hence,
a) 57.98%
b) 29.41%
c) Null hypothesis: d. H0: There is no relationship between waking and bedtime symptoms.
Alternative hypotheis: a. Ha: There is a relationship between waking and bedtime symptoms.
d) X2 = 2.077
Df = 1
P value = 0.150
e) Conclusion: a. We do not have enough evidence to conclude that there is a relationship.
Cell format Count(Percent of total)
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