In: Statistics and Probability
Do the following for the specified one-mean t-test. a. Use a t-table to estimate the P-value. b. Based on your estimate in part (a), state at which significance levels the null hypothesis can be rejected, at which significance levels it cannot be rejected, and at which significance levels it is not possible to decide. Right-tailed test, nequals25, and tequals2.094 Click here to view page 1 of the t-table.LOADING... Click here to view page 2 of the t-table.LOADING... a. The P-value is between 0.025 and 0.05 . b. We can reject Upper H 0 for alpha less than or equals 0.05 , and we cannot reject Upper H 0 for alpha greater than or equals 0.10 alpha less than or equals 0.025 alpha greater than or equals 0.05 alpha less than or equals 0.05 alpha less than or equals 0.005 alpha greater than or equals 0.025 alpha greater than or equals 0.01 alpha greater than or equals 0.10 alpha less than or equals 0.01 . For significance levels 0.025 less than alpha less than 0.05 0.01 less than alpha less than 0.025 0.05 less than alpha less than 0.10 0.025 less than alpha less than 0.05 0.005 less than alpha less than 0.01 , the t-table is not sufficiently detailed in
to decide whether to reject Upper H 0.
Solution:
Given:
n = 25
Right-tailed test
t = 2.094
df = n - 1 = 25 - 1 = 24
Look in t table for df = 24 row and find an interval in which t = 2.094 fall
then find corresponding one tail area interval for p-value:
t = 2.094 fall between 2.064 and 2.492
corresponding one tal area is between ( 0.01 to 0.025)
Thus 0.01 < p-value < 0.025
The P-value is between 0.01 and 0.025
We can reject H0 for alpha greater than or equals 0.025
we cannot reject H0 for alpha less than or equals 0.01
For significance levels 0.01 < alpha < 0.025 the t-table is not sufficiently detailed in to decide whether to reject Upper H 0.