In: Statistics and Probability
An engineer who is studying the tensile strength of a steel
alloy knows that tensile strength
is approximately normally distributed with σ = 60 psi. A random
sample of 12 specimens
has a mean tensile strength of 3450 psi.
a) Compute a two-sided confidence interval on the mean tensile
strength at a 95%
confidence level
b) Test the hypothesis that the mean strength is 3500 psi at α=
0.05, and provide a
conclusion statement
a) The 95% confidence interval for population mean
Degrees of freedom = n-1 = 12-1 =11
For 95% confidence (with df = 11 , two tailed critical value of t is
tc = 2.20 ( from t table )
Thus , 95% confidence interval for mean textile strength
=(3411.90 psi, 3488.11 psi)
Note Though population standard deviation is given , we use t distribution as sample size is small, and we use in place of s
b) The null and alternative hypothesis
3500
3500
Test statistic
= - 2.89
For with df = 11 , two tailed critical value of t is
tc = 2.20 ( from t table )
Since calculated value of test statistic , I t I > 2.20
We reject H0
At 5% level of significance there is sufficient evidence to conclude that mean textile strength is not equal to 3500 psi .