In: Statistics and Probability
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 | 36 | 33 | ||
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:
H0: There is no relationship between waking and bedtime symptoms.
H0: Bedtime symptoms cause waking symptoms.
H0: Waking symptoms cause bedtime symptoms.
H0: There is a relationship between waking and bedtime symptoms.
Alternative Hypothesis:
Ha: Bedtime symptoms cause waking symptoms.
Ha: There is no relationship between waking and bedtime symptoms.
Ha: There is a relationship between waking and bedtime symptoms
.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:
We do not have enough evidence to conclude that there is a relationship.
We have enough evidence to conclude that there is a relationship.
Waking symptoms | ||||
Yes | No | |||
Bedtime symptoms | Yes | 36 | 33 | 69 |
No | 33 | 17 | 50 | |
69 | 50 | 119 |
(a) Percent of the students have lasting waking-life symptoms
P = 69 / 119 = 0.5798 = 57.98%
(b) Percent of the students have both waking-life and bedtime symptoms
P = 36 / 119 = 0.3025 = 30.25%
(c) Test whether there is an association between waking-life and bedtime symptoms.