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 | 33 | ||
No | 33 | 18 |
(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: Bedtime symptoms cause waking symptoms.H0: There is no relationship between waking and bedtime symptoms. H0: Waking symptoms cause bedtime symptoms.H0: There is a relationship between waking and bedtime symptoms.
Alternative Hypothesis:
Ha: There is a relationship between waking and bedtime symptoms.Ha: Waking symptoms cause bedtime symptoms. Ha: Bedtime symptoms cause waking symptoms.Ha: There is no relationship between waking and 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.
a)
percent of the students have lasting waking-life symptoms =(68/119)*100=57.14%
b)
percent of the students have both waking-life and bedtime symptoms =(35/119)*100=29.41%
c)
H0: There is no relationship between waking and bedtime symptoms.
Ha: There is a relationship between waking and bedtime symptoms.
applying chi square test:
Oi | Yes | No | Total |
Yes | 35 | 33 | 68 |
No | 33 | 18 | 51 |
total | 68 | 51 | 119 |
Ei=row total*column total/grand total | Yes | No | Total |
Yes | 38.86 | 29.14 | 68 |
No | 29.14 | 21.86 | 51 |
total | 68 | 51 | 119 |
=(Oi-Ei)2/Ei | Yes | No | Total |
Yes | 0.383 | 0.511 | 0.893 |
No | 0.511 | 0.681 | 1.191 |
total | 0.893 | 1.191 | 2.0846 |
χ2 statistic =2.085
df =1
p value =0.149
Conclusion: We do not have enough evidence to conclude that there is a relationship.
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