Answers
(a)To check whether diameter of two steel rods manufactured on different extrusion machines are same on not, we have taken two sample ,and data given are
For Sample 1
Sample size = n1 = 15
Sample mean = X1 = 8.70
Sample standard deviation = s1 = 0.592
For sample 2
Sample size = n2 = 17
Sample mean = X2 = 8.68
Sample standard deviation = s2 = 0.632
Null and alternative hypotheses need to be tested, where μ1 is mean diameter of 1st rod and μ2 is mean diameter of 2nd rod,
Ho: μ1 = μ2
Ha: μ1 ≠ μ2
This corresponds to a two-tailed test.
At the significance level is α = 0.05, and the degrees of freedom is
df = n1+n2-2 = 15+17-2 = 30
The degrees of freedom are computed assuming that the population variances are equal(as given in data)
The critical value for this two-tailed test is tc=2.042, for α=0.05 and degree of freedom is 30 using excel formula =T.INV.2T(0.05,30).
tc(lower) = -2.042
tc(upper) = 2.042
The rejection region for this two-tailed test is R = t < -2.042 & t > 2.042
Test statistics
It is observed that t(test) = 0.092 is in non rejection region -2.042<t<2.042, it is then concluded that the null hypothesis is not rejected.
p value calculated as p = 0.9273, using excel formula =T.DIST.2T(0.092,30)
p = 0.9273
since p-value is p = 0.9273 > 0.05, it is concluded that the null hypothesis is not rejected.
Conclusion
Ho - Not rejected
(b)We need to construct the 95% confidence interval for the difference between the population means μ1−μ2
For that pooled standard deviation calculated as
Now calculation for standard error (population variance is equal)
Confidence interval calculated as
(c)So option 1st is correct
We are 95% confident that true difference in two mean diameters if two machines is between -0.424 and 0.464