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 | 12 | 15 | 34 |
Science Fiction | 14 | 9 | 7 | 30 |
Comedy | 8 | 7 | 14 | 29 |
Column Total | 29 | 28 | 36 | 93 |
(a) What is the level of significance?
0.05
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 not independent.
H0: Age and movie preference are 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?
Student's t
chi-square
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.
The statistical software output for this problem is :
(a)
The level of significance = 0.05
H0: Age and movie preference are independent.
& H1: Age and movie preference are not independent.
(b)
Test statistics = 7.073
Yes
Chi square
degrees of freedom = 4
(c)
P-value > 0.100
(d)
Since the P-value > α, we fail to 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.
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