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

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:

H0: Waking symptoms cause bedtime symptoms.H0: There is no relationship between waking and bedtime symptoms.     H0: There is a relationship between waking and bedtime symptoms.H0: Bedtime symptoms cause waking symptoms.

Alternative Hypothesis:

Ha: Waking symptoms cause bedtime symptoms.Ha: Bedtime symptoms cause waking symptoms.     Ha: There is a relationship between waking and bedtime symptoms.Ha: There is no relationship between waking and bedtime symptoms.

State the ?2 statistic and the P-value. (Round your answers for ?2 and the P-value to three decimal places.)

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 Bedtime symptoms Yes      No Yes 36 32 No 32 19

Explanation / Answer

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(36/119)*100 =30.25%

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:

?2 =1.144

df =(row-1)*(column-1)=(2-1)*(2-1) =1

p value =0.2849

Conclusion:

We do not have enough evidence to conclude that there is a relationship.

Observed Oi Yes No Total Yes 36 32 68 No 32 19 51 Total 68 51 119 Expected Ei=?row*?column/?total Yes No Total Yes 38.8571 29.1429 68 No 29.1429 21.8571 51 Total 68 51 119 chi square =(Oi-Ei)2/Ei Yes No Total Yes 0.2101 0.2801 0.490 No 0.2801 0.3735 0.654 Total 0.490 0.654 1.144

Related Questions

Navigate

• Browse (All)
• Browse A
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.