Testing a claim

In the last exercise, you got a sense of what a single simulated p-hat might be if in fact the true proportion of believers was 0.75. That p-hat was likely different from the p-hat in gss2016, but was that a fluke or is there a systematic inconsistency between that claim and the data in the GSS?

In this exercise, you'll settle this question.

Deze oefening maakt deel uit van de cursus

Inference for Categorical Data in R

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Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

# Generate null distribution
___ <- gss2016 %>%
  specify(response = postlife, success = "YES") %>%
  hypothesize(null = "point", p = 0.75) %>%
  generate(reps = ___, type = "simulate") %>%
  # Calculate proportions
  ___(stat = ___)

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