Question

Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level.

	Person's Age
Movie	18-23 yr	24-29 yr	30-35 yr	Row Total
Drama	7	13	14	34
Science Fiction	11	12	7	30
Comedy	11	6	12	29
Column Total	29	31	33	93

(a) What is the level of significance?


State the null and alternate hypotheses.

H₀: Age and movie preference are independent.
H₁: Age and movie preference are not independent

.H₀: Age and movie preference are independent.
H₁: Age and movie preference are independent.   

H₀: Age and movie preference are not independent.
H₁: Age and movie preference are not independent.

H₀: Age and movie preference are not independent.
H₁: Age and movie preference are independent.

(b) Find the value of the chi-square statistic for the sample. (Round the expected frequencies to at least three decimal places. Round the test statistic to three decimal places.)


Are all the expected frequencies greater than 5?

Yes

No    

What sampling distribution will you use?

chi-square

Student's t    binomial

uniform

normal

What are the degrees of freedom?


(c) Find or estimate the P-value of the sample test statistic.

P-value > 0.100

0.050 < P-value < 0.100   

0.025 < P-value < 0.050

0.010 < P-value < 0.025

0.005 < P-value < 0.010

P-value < 0.005

(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis of independence?

Since the P-value > α, we fail to reject the null hypothesis.

Since the P-value > α, we reject the null hypothesis.    

Since the P-value ≤ α, we reject the null hypothesis.

Since the P-value ≤ α, we fail to reject the null hypothesis.

(e) Interpret your conclusion in the context of the application.

At the 5% level of significance, there is sufficient evidence to conclude that age of young adult and movie preference are not independent.

At the 5% level of significance, there is insufficient evidence to conclude that age of young adult and movie preference are not independent.

Answer 1

The statistic software output for this problem is:

(a)

level of significance = 0.05

H₀: Age and movie preference are independent.
H₁: Age and movie preference are not independent

(b)

chi-square statistic = 5.815

Yes

chi square

Degrees of freedom = 4

(c)

P-value > 0.100

(d)

Since the P-value > α, we reject the null hypothesis.    

(e)

At the 5% level of significance, there is insufficient evidence to conclude that age of young adult and movie preference are not independent.