Answer:
We conclude that college students watch fewer movies a month than high school students at the 0.05 significance level.
Step-by-step explanation:
We are given that a recent national survey found that high school students watched an average (mean) of 7.6 movies per month with a population standard deviation of 0.9.
A random sample of 39 college students revealed that the mean number of movies watched last month was 7.1.
Let = <u><em>mean number of movies watched by college students last month.</em></u>
So, Null Hypothesis, : 7.6 movies {means that college students watch higher or equal movies a month than high school students}
Alternate Hypothesis, : < 7.6 movies {means that college students watch fewer movies a month than high school students}
The test statistics that would be used here <u>One-sample z test statistics</u> as we know about the population standard deviation;
T.S. = ~ N(0,1)
where, = sample mean number of movies watched last month = 7.1
σ = population standard deviation = 0.9
n = sample of college students = 39
So, <u><em>the test statistics</em></u> =
= -3.47
The value of z test statistics is -3.47.
<u>Now, at 0.05 significance level the z table gives critical value of -1.645 for left-tailed test.</u>
Since our test statistic is less than the critical value of z as -3.47 < -1.645, so we have sufficient evidence to reject our null hypothesis as it will fall in the rejection region due to which <u>we reject our null hypothesis</u>.
Therefore, we conclude that college students watch fewer movies a month than high school students.