In: Statistics and Probability
You are doing some research on the cost of one-bedroom apartments in town. Based on prices from previous years, a real estate agent gives you the information that σ is approximately $55 and μ is approximately $675per month. Assume that price follows roughly a normal distribution. You have randomly selected 25 apartments for which the price was published. The average price for these apartments is ?̅=695. You are to test if μ is less than 675.You set the null and alternative hypotheses as follows:
?0: ?≤ 675 ?? ??: ?>675
a. Compute the test statistic value.
b. If α=0.05, what is the critical value?
c. What is the p value?
d. What is the conclusion if α=0.05?
e. What is the conclusion if α=0.02?
Result:
You are doing some research on the cost of one-bedroom apartments in town. Based on prices from previous years, a real estate agent gives you the information that σ is approximately $55 and μ is approximately $675per month. Assume that price follows roughly a normal distribution. You have randomly selected 25 apartments for which the price was published. The average price for these apartments is ?̅=695. You are to test if μ is less than 675.You set the null and alternative hypotheses as follows:
?0: ?≤ 675 ?? ??: ?>675
( note: there is difference in the problem given(to test if μ is less than 675, in this case ??: ?< 675) and the stated alternate hypothesis. We do the problem with the stated alternate hypothesis, ??: ?>675)
a. Compute the test statistic value.
z =1.8182
b. If α=0.05, what is the critical value?
Critical value = 1.645
c. What is the p value?
P value =0.0345
d. What is the conclusion if α=0.05?
Since p value 0.0345 is < 0.05 level of significance, Ho is rejected. We conclude that μ is greater than 675.
e. What is the conclusion if α=0.02?
Since p value 0.0345 is > 0.02 level of significance, Ho is not rejected. There is not enough evidence to conclude that μ is greater than 675.
Z Test of Hypothesis for the Mean |
|
Data |
|
Null Hypothesis m= |
675 |
Level of Significance |
0.05 |
Population Standard Deviation |
55 |
Sample Size |
25 |
Sample Mean |
695 |
Intermediate Calculations |
|
Standard Error of the Mean |
11.0000 |
Z Test Statistic |
1.8182 |
Upper-Tail Test |
|
Upper Critical Value |
1.645 |
p-Value |
0.0345 |
Reject the null hypothesis |