In: Statistics and Probability
a) Bargain Town is a large discount chain. The management wishes to compare the performance of its credit managers in Ohio and Illinois, by comparing the mean dollar amount owed by customers with charge accounts in both two states. A small mean is desirable.
Suppose that Bargain Town randomly selected the following small samples.
Sample of Ohio accounts Sample of Illinois accounts
no=10 no= 6
yo = $124 y1 = $68
s2o= 1681 s2o= = 484
Assuming that equal variances, independent samples, and normality assumptions hold, compute a 95% confidence interval for μo-μ1.
b) Assuming that only the independent samples and normality assumptions hold, test Ho: μo-μ1=0 versus H1: μo-μ1≠0 by setting α=0.05. Based on the test we cannot reject the Null Hypothesis.
True or False?
c) To carry our the F-test for equality of population variances, you need to first calculate the values of F, r1, r2,Fα(r1,r2)
Compute the following: F, r1, r2,Fα(r1,r2)
Carry out the F -test for equality of variances, Ho: σ2o=σ21versus H1: σ2o≠σ21 Do we reject the null hypothesis?
Select one:
a. [F, r1, r2, Fα(r1,r2) , reject Ho versus H1 ] = [2.565, 6, 9, 6, reject]
b. [F, r1, r2, Fα(r1,r2) , reject Ho versus H1 ] = [2.565, 9, 4, 6, reject]
c. [F, r1, r2, Fα(r1,r2) , reject Ho versus H1 ] = [3.473, 9, 4, 6, reject]
d. [F, r1, r2, Fα(r1,r2) , reject Ho versus H1 ] = [2.565, 8, 5, 5, we cannot reject]
e. [F, r1, r2, Fα(r1,r2) , reject Ho versus H1 ] = [3.473, 9, 4, 6, we cannot reject]
(a)95% confidence interval =(16.79,95.21)
SE((mean1-mean2)=((sp*(1/n1 +1/n2)1/2)=18.283
sp2=((n1-1)s12+(n2-1)s22)/n=1253.5 with n=n1+n2-2=10+6-2=14 and
(1-alpha)*100% confidence interval for μo-μ1=difference of sample mean ±t(alpha/2,n)*SE(difference of mean)
95% confidence interval =56±2,1448*18.283=56±39.21=(16.79,95.21)
sample | mean | s | s2 | n | (n-1)s2 | |
Ohio | 124.0000 | 41.0000 | 1681.0000 | 10 | 15129.0000 | |
Illinois | 68.0000 | 22.0000 | 484.0000 | 6 | 2420.0000 | |
difference= | 56.0000 | sum= | 2165.0000 | 16 | 17549.0000 | |
sp2= | 1253.5000 | |||||
sp= | 35.4048 | |||||
SE= | 18.2830 | |||||
(b) answer is False,
since here 0 values does not lies in the 95% confidence interval (16.79,95.21), so we reject null hypothesis H0.
Based on the test we cannot reject the Null Hypothesis.: False
(c) e. [F, r1, r2, Fα(r1,r2) , reject Ho versus H1 ] = [3.473, 9, 4, 6, we cannot reject]
test statistic F=s12/s22=1681/484=3.473 with df (10-1,6-1)=(9, 5)
typical critical F(0.05,9,6)=4.099 is more than calculated F=3.473, so we fail to reject H0( or accept H0)