In: Statistics and Probability
A recent national survey found that high school students watched an average (mean) of 6.6 DVDs per month with a population standard deviation of 0.90 hour. The distribution of DVDs watched per month follows the normal distribution. A random sample of 43 college students revealed that the mean number of DVDs watched last month was 6.10. At the 0.05 significance level, can we conclude that college students watch fewer DVDs a month than high school students?
b. | State the decision rule. |
Reject H0 if z > -1.645
Reject H1 if z < -1.645
Reject H0 if z < -1.645
Reject H1 if z > -1.645
Solution :
Given that,
Population mean = = 6.10
Sample mean = = 6.6
Population standard deviation = = 0.90
Sample size = n = 43
Level of significance = = 0.05
This is a left tailed test.
The null and alternative hypothesis is,
Ho: 6.10
Ha: 6.10
The test statistics,
Z =( - )/ (/n)
= ( 6.6 - 6.10 ) / ( 0.90 / 43 )
= 3.643
Critical value of the significance level is α = 0.05, and the critical value for a left-tailed test is
= -1.645
Since it is observed that |z| = 3.643 > = -1.645, it is then concluded that the null hypothesis is rejected.
Reject Ho if z > -1.645