Test of two proportions
You may wonder if the amount paid for freight affects whether or not the shipment was late. Recall that in late_shipments dataset, whether or not the shipment was late is stored in the late column. Freight costs are stored in the freight_cost_group column, and the categories are "expensive" and "reasonable".
We can form hypotheses to test.
\(H_{0}\): \(late_{\text{expensive}} - late_{\text{reasonable}} = 0\)
\(H_{A}\): \(late_{\text{expensive}} - late_{\text{reasonable}} > 0\)
p_hats contains the estimates of population proportions (sample proportions) for the "expensive" and "reasonable" groups. ns contains the sample sizes for these groups.
Bu egzersiz
Hypothesis Testing in R
kursunun bir parçasıdırUygulamalı interaktif egzersiz
Bu örnek kodu tamamlayarak bu egzersizi bitirin.
# See the sample variables
print(p_hats)
print(ns)
# Calculate the pooled estimate of the population proportion
p_hat <- ___
# See the result
p_hat