In: Statistics and Probability
You may need to use the appropriate appendix table or technology to answer this question.
The following results come from two independent random samples taken of two populations.
Sample 1 | Sample 2 |
---|---|
n1 = 50 |
n2 = 25 |
x1 = 13.6 |
x2 = 11.6 |
σ1 = 2.4 |
σ2 = 3 |
(a)
What is the point estimate of the difference between the two population means? (Use
x1 − x2.)
(b)
Provide a 90% confidence interval for the difference between the two population means. (Use
x1 − x2.
Round your answers to two decimal places.)
to
(c)
Provide a 95% confidence interval for the difference between the two population means. (Use
x1 − x2.
Round your answers to two decimal places.)
to
a)
the point estimate of the difference between the two population means = 13.6 - 11.6 = 2
b)
Pooled Variance
sp = sqrt(s1^2/n1 + s2^2/n2)
sp = sqrt(5.76/50 + 9/25)
sp = 0.6893
Given CI level is 0.9, hence α = 1 - 0.9 = 0.1
α/2 = 0.1/2 = 0.05, zc = z(α/2, df) = 1.64
Margin of Error
ME = zc * sp
ME = 1.64 * 0.6893
ME = 1.13
CI = (x1bar - x2bar - tc * sp , x1bar - x2bar + tc *
sp)
CI = (13.6 - 11.6 - 1.64 * 0.6893 , 13.6 - 11.6 - 1.64 *
0.6893
CI = (0.87 , 3.13)
c)
Pooled Variance
sp = sqrt(s1^2/n1 + s2^2/n2)
sp = sqrt(5.76/50 + 9/25)
sp = 0.6893
Given CI level is 0.95, hence α = 1 - 0.95 = 0.05
α/2 = 0.05/2 = 0.025, zc = z(α/2, df) = 1.96
Margin of Error
ME = zc * sp
ME = 1.96 * 0.6893
ME = 1.35
CI = (x1bar - x2bar - tc * sp , x1bar - x2bar + tc *
sp)
CI = (13.6 - 11.6 - 1.96 * 0.6893 , 13.6 - 11.6 - 1.96 *
0.6893
CI = (0.65 , 3.35)