Question

As part of the study on ongoing fright symptoms due to exposure to horror movies at...

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.    

Homework Answers

Answer #1

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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