In: Statistics and Probability
Given two independent random samples with the following results:
n1=6
x‾1=192
s1=12
n2=9
x‾2=162
s2=31
Use this data to find the 90 % 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 margin of error to be used in constructing the confidence interval. Round your answer to six decimal places.
Step 3 of 3: Construct the 90% confidence interval. Round your answers to the nearest whole number.
1)
Given CI level is 0.9, hence α = 1 - 0.9 = 0.1
α/2 = 0.1/2 = 0.05, tc = t(α/2, df) = 1.771
2)
Pooled Variance
sp = sqrt((((n1 - 1)*s1^2 + (n2 - 1)*s2^2)/(n1 + n2 - 2))*(1/n1 +
1/n2))
sp = sqrt((((6 - 1)*12^2 + (9 - 1)*31^2)/(6 + 9 - 2))*(1/6 +
1/9))
sp = 13.4037
Margin of Error
ME = tc * sp
ME = 1.771 * 13.4037
ME = 23.737953
CI = (x1bar - x2bar - tc * sp , x1bar - x2bar + tc *
sp)
CI = (192 - 162 - 1.771 * 13.4037 , 192 - 162 - 1.771 *
13.4037
CI = (6.262 , 53.738)
CI = (6 , 54)