Making a decision

It's common practice to conclude a hypothesis test by making a binary decision about the validity of the null hypothesis. Using an alpha level of .05, what is your decision regarding the null hypothesis?

Remember, you can compute p-value by running this code in the console:

null %>%
  summarize(pval = 2 * mean(stat > p_hat)) %>%
  pull()

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The p-value < alpha, thus the data is consistent with the null hypothesis so I fail to reject it as a reasonable explanation.

The p-value < alpha, thus the data is inconsistent with the null hypothesis so I reject it as a reasonable explanation.

The p-value > alpha, thus the data is consistent with the null hypothesis so I fail to reject it as a reasonable explanation.

The p-value > alpha, thus the data is inconsistent with the null hypothesis so I reject it as a reasonable explanation.

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Making a decision

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