The CEO of a mail order business is reviewing the order filling operations at their two warehouses. The goal is to have 100% of orders shipped within 24 hours. In previous years, neither warehouse has achieved the goal, but the East Coast Warehouse has consistently out-performed the West Coast Warehouse.
To compare the current performance of the warehouses, they decide to conduct a hypothesis test at the 5% significance level. They randomly select 300 orders from the West Coast Warehouse (population 1) and 250 orders from the East Coast Warehouse (population 2). They found that 267 of the West Coast Orders were shipped within 24 hours, and the East Coast Warehouse shipped 212 orders within 24 hours. What is the p-value for testing the hypothesis that the West Coast Warehouse is now outperforming the East Coast Warehouse ?
Given the information below that includes the sample size (n1 and n2) for each sample, the mean for each sample (x1 and x2) and the estimated population standard deviations for each case( \sigma 1 and \sigma 2), enter the p-value to test the following hypothesis at the 1% significance level :
Ho : µ1 = µ2
Ha : µ1 > µ2
Sample 1 Sample 2
n1 = 10 n2 = 15
x1 = 115 x2 = 113
\sigma 1 = 4.9 \sigma 2 = 5.2
What is the p-value for this test ?
Given the information below that includes the sample size (n1 and n2) for each sample, the mean for each sample (x1 and x2) and the standard deviations for each sample (s1 and s2), enter the p-value to test the following hypothesis at the 1% significance level . Assume the variables come from normally distributed populations with equal variances
Ho : µ1 = µ2
Ha : µ1 < µ2
Sample 1 Sample 2
n1 = 12 n2 = 12
x1 = 113 x2 = 115
s1 = 4.2 s2 = 5.15
What is the p-value for this test ?