In: Statistics and Probability
Given two independent random samples with the following results: n1=6, x‾1=132 (line goes over the x), s1=29, n2=10 x‾2=116 (line goes over the x), s2=31
Use this data to find the 95% confidence interval for the true difference between the population means. Assume that the population variances are equal and that the two populations are normally distributed.
Step 1 of 3:
Find the critical value that should be used in constructing the confidence interval. Round your answer to three decimal places.
Step 2 of 3:
Find the standard error of the sampling distribution to be used in constructing the confidence interval. Round your answer to the nearest whole number.
Step 3 of 3:
Construct the 95% confidence interval. Round your answers to the nearest whole number.
Step 1
Critical value t(α/2, n1 + n1 - 2) = t(
0.05/2, 6 + 10 - 2) = 2.145
Step 2
Standard Error = SP / √( (1/n1) + (1/n2)) = 58.6774 ≈
59
Step 3
Confidence interval is :-
( X̅1 - X̅2 ) ± t( α/2 , n1+n2-2) SP √( (1/n1) + (1/n2))
t(α/2, n1 + n1 - 2) = t( 0.05/2, 6 + 10 - 2) = 2.145
( 132 - 116 ) ± t(0.05/2 , 6 + 10 -2) 30.3009 √ ( (1/6) +
(1/10))
Lower Limit = ( 132 - 116 ) - t(0.05/2 , 6 + 10 -2) 30.3009 √(
(1/6) + (1/10))
Lower Limit = -17.5635 ≈ -18
Upper Limit = ( 132 - 116 ) + t(0.05/2 , 6 + 10 -2) 30.3009 √(
(1/6) + (1/10))
Upper Limit = 49.5635 ≈ 50
95% Confidence Interval is ( -18 , 50 )