In: Statistics and Probability
We have created a 95% confidence interval for the mean with the result (10 to 15). What decision will we make if we test
H0: Mean = 16 and H1: Mean not equal to 16 at alpha = 0.05?
A.Reject H0 and accept H1. |
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B.Accept H0 and reject H1. |
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C.Can't tell from the information given. |
SOLUTION:
From given data,
We have created a 95% confidence interval for the mean with the result (10 to 15). What decision will we make if we test H0: Mean = 16 and H1: Mean not equal to 16 at alpha = 0.05?
mean =(15+10)/2 =22.5
95% confidence interval
Confidence interval is 95%
95% = 95/100 = 0.95
= 1 - Confidence interval = 1-0.95 = 0.05
/2 = 0.05 / 2
= 0.025
Z/2 = Z0.025 = 1.96
95% margin of error =(15-10)/2 =2.5 =1.96*se
se =2.5/1.96 =1.27551
at 0.05 level, margin of error =1.6449*se =1.6449*1.27551 =2.09808
at 0.05 level,, CI = (22.5-2.09808, 22.5-2.09808)
at 0.05 level,, CI = (20.401 , 24.598)
This interval does not contain 16.
therefore
Reject H0 and accept H1.
Answer: Option (A) is correct.