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Ho: U1= U2
H1: U1=/ U2 - The /should be place across the equal sign
A random sample of 15 observations from the first population revealed a sample mean of 350 and a sample standard deviation of 12. A random sample of 17 observations from the second population revealed a sample mean of 342 and a sample standard deviation of 15. At the .10 significance level, is there a difference in the population means? Use the five-step hypothesis testing procedure for the following exercises
Standard Dev. = sqrt[(s1^2/n1)+(s2^2/n2)
Test Statistic: t(350-342)=8/4.77=1.67
Critical Value for alpha = 0.10: 1.695
Since Test Statistic is > critical value, Fail to reject the null hypothesis.
If you do this with p-values you find p=0.1045... if you don't pool
and p=0.1092... if you do pool.
In either case since p>alpha you fail to reject Ho
2. Ms. Lisa Monnin is the budget director for Nexus Media, Inc. She would like to compare the daily travel expenses for the sales staff and the audit staff. She collected the following sample information
Sales ($) 131 135 146 165 136 142
Audit ($) 130 102 129 143 149 120 139
At the .10 significance level, can she conclude that the mean daily expenses are greater for the sales staff than the audit staff? What is the p-value?
p=0.076 if data is pooled
p=0.073 if data is not pooled
In either case p<0.10 so Reject the Ho that the means are equal
There is sufficient statistical evidence to support the claim that
the travel expenses for the sales staff are greater than the travel
expenses of the admin stall.
3. The management of Discount Furniture, a chain of discount furniture stores in the Northeast, designed an incentive plan for salespeople. To evaluate this innovative plan, 12 salespeople were selected at random, and their weekly incomes before and after the plan were recorded
Salesperson Before After
Salesperson Before After
A. S. Kushner
--------What is the question???
4. Clark Heter is an industrial engineer at Lyons Products. He would like to determine whether there are more units produced on the afternoon shift than on the day shift. A sample of 54 day-shift workers showed that the mean number of units produced was 345, with a standard deviation of 21. A sample of 60 afternoon-shift workers showed that the mean number of units produced was 351, with a standard deviation of 28 units. At the .05 significance level, is the number of units produced on the afternoon shift larger?
If not pooled, p=0.902
If pooled , p=0.898...
In either case p>5% so Fail to reject Ho.
There is not sufficient statistical evidence to conclude the afternoon shift
produces more units than the day shift.