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Specifying and hypothesizing

In Chapter 3, you ran a two sample proportion test on the proportion of late shipments across freight cost groups. Recall the hypotheses.

\(H_{0}\): \(late_{\text{expensive}} - late_{\text{reasonable}} = 0\)

\(H_{A}\): \(late_{\text{expensive}} - late_{\text{reasonable}} > 0\)

Let's compare that traditional approach using prop_test() with a simulation-based infer pipeline.

late_shipments is available; dplyr and infer are loaded.

This exercise is part of the course

Hypothesis Testing in R

View Course

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Perform a proportion test appropriate to the hypotheses 
test_results <- late_shipments %>% 
  prop_test(
    late ~ freight_cost_group,
    order = c("expensive", "reasonable"),
    success = "Yes",
    alternative = "greater",
    correct = FALSE
  )

# See the results
test_results
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