In: Statistics and Probability
- a sample mean of 12.10 ounces and a sample standard deviation of 0.25 ounces.
(5) a. Set up a 95% confidence interval for the true population mean.
(10) b. At the 10% level, test the alternate hypothesis that the true mean is not equal to 12 ounces.
Solution :
Point estimate = sample mean = = 12.10
sample standard deviation = s = 0.25
sample size = n = 25
Degrees of freedom = df = n - 1 = 25-1 = 24
At 95% confidence level
= 1-0.95% =1-0.95 =0.05
/2
=0.05/ 2= 0.025
t/2,df
= t0.025, 24 = 2.06
t /2,df = 2.06
Margin of error = E = t/2,df * (s /n)
= 2.06 * (0.25 / 25)
Margin of error = E = 0.103
The 95% confidence interval estimate of the population mean is,
- E < < + E
12.10 -0.103 < < 12.10 +0.103
11.997 < < 12.203
(11.997 ,12.203)
= 12
This is the two tailed test .
The null and alternative hypothesis is
H0 : = 12
Ha : 12
Test statistic = t
= ( - ) / s/ n
= (12.10-12) /0.25 / 25
= 2
p(Z >2 ) = 1-P (Z < 2) =0.0569
P-value = 0.0569
= 0.10
0.0569 < 0.10
Reject the null hypothesis .
There is sufficient evidence to suggest that the true mean is not equal to 12 ounces, at the 0.10 significance level.