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 AgeMovie18-23 yr24-29 yr30-35 yrRow TotalDrama1018634Science Fiction1310730Comedy991129Column Total32372493

(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 independent.

H₀: Age and movie preference are not 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 independent.

H₁: Age and movie preference are not 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?

uniform

binomial

Student'st

chi-square

normal

What are the degrees of freedom?

(c) Find or estimate theP-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 theP-value >, we fail to reject the null hypothesis.

Since theP-value >, we reject the null hypothesis.

Since theP-value, we reject the null hypothesis.

Since theP-value, 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.