In: Statistics and Probability
Consider the following hypotheses: |
H0: μ = 420 |
HA: μ ≠ 420 |
The population is normally distributed with a population standard deviation of 72. Use Table 1. |
a. |
Use a 1% level of significance to determine the critical value(s) of the test. (Round your answer to 2 decimal places.) |
Critical value(s) | ± |
b-1. |
Calculate the value of the test statistic with x−x− = 430 and n = 90. (Round your answer to 2 decimal places.) |
Test statistic |
b-2. | What is the conclusion at α = 0.01? | ||||||||
|
c. |
Use a 10% level of significance to determine the critical value(s) of the test. (Round your answer to 2 decimal places.) |
Critical value(s) | ± |
d-1. |
Calculate the value of the test statistic with x−x− = 392 and n = 90. (Negative value should be indicated by a minus sign. Round your answer to 2 decimal places.) |
Test statistic |
d-2. | What is the conclusion at α = 0.10? | ||||||||
|
Given the following hypotheses
H0: μ = 420 |
HA: μ ≠ 420 |
and the population is normally distributed with a population standard deviation of = 72.
Based on the hypothesis it will be a two-tailed test and since the population standard deviation is known hence Z distribution is applicable for hypothesis testing.
a) Critical value:
The critical values for rejection region is computed uisng the excel formula for normal distribuution which is computed as =NORM.S.INV(0.005), thus the Zc is computed as -2.58 and 2.58
So, reject Ho if Z <-Zc or Z> Zc.
b1) Test statistic:
Given the sample size is n = 90 and the sample mean as = 430
The test statistic is calculated as:
Z = 1.32
b2. Conclusion:
Do not reject the Ho since the value of test statistic is less than the critical value.
c) Critical values at 0.10 level of significance:
The critical values for rejection region is computed uisng the excel formula for normal distribuution which is computed as =NORM.S.INV(0.05), thus the Zc is computed as -1.64 and 1.64.
d) Conclusion at 0.10 level of significance.
Do not reject H0 since the value of the test statistic is not less than the negative critical value.