Answer:
To determine the appropriate critical values for each of the tests concerning the population mean, we can use the t-distribution table or a statistical calculator. The critical value for each test depends on the significance level (alpha) and the degrees of freedom (df), which are related to the sample size.
a. Upper-tailed test:
- Alpha (α) = 0.05
- Sample size (n) = 36
- Standard deviation (σ) = 5.0
To find the critical value for this upper-tailed test, we need to calculate the degrees of freedom (df), which is (n - 1) in this case:
df = 36 - 1 = 35
Now, we can find the critical value from the t-distribution table or use a calculator. For a one-tailed test with alpha = 0.05 and df = 35, the critical value is approximately 1.686.
So, the critical value for this upper-tailed test is approximately 1.686 (rounded to two decimal places).
b. Lower-tailed test:
- Alpha (α) = 0.01
- Sample size (n) = 30
- Sample standard deviation (s) = 6.0
For a lower-tailed test, we can still calculate the degrees of freedom:
df = 30 - 1 = 29
Now, we can find the critical value for this lower-tailed test with alpha = 0.01 and df = 29 using the t-distribution table or a calculator. The critical value is approximately -2.621.
So, the critical value for this lower-tailed test is approximately -2.621 (rounded to two decimal places).
c. Two-tailed test:
- Alpha (α) = 0.02
- Sample size (n) = 31
- Sample standard deviation (s) = 5.1
For a two-tailed test, we need to divide the alpha level by 2 to account for both tails:
Alpha (α/2) = 0.02 / 2 = 0.01
Now, calculate the degrees of freedom:
df = 31 - 1 = 30
Using the t-distribution table or a calculator with alpha = 0.01 and df = 30, you can find the critical values. The critical values are approximately ±2.750.
So, the critical values for this two-tailed test are approximately ±2.750 (rounded to two decimal places).
d. Two-tailed test:
- Alpha (α) = 0.10
- Sample size (n) = 25
- Standard deviation (σ) = 5.7
For a two-tailed test, we can calculate the degrees of freedom:
df = 25 - 1 = 24
Now, using the t-distribution table or a calculator with alpha = 0.10 and df = 24, you can find the critical values. The critical values are approximately ±1.711.
So, the critical values for this two-tailed test are approximately ±1.711 (rounded to two decimal places).
Explanation: