Exercise

# Calculating p-values

In order to determine whether to choose the null hypothesis or the alternative hypothesis, you need to calculate a p-value from the z-score.

You'll now return to the late shipments dataset and the proportion of late shipments.

The null hypothesis, \(H_{0}\), is that the proportion of late shipments is six percent.

The alternative hypothesis, \(H_{A}\), is that the proportion of late shipments is **greater than** six percent.

The observed sample statistic, `late_prop_samp`

, the hypothesized value, `late_prop_hyp`

(6%), and the bootstrap standard error, `std_error`

are available. `norm`

from `scipy.stats`

has also been loaded without an alias.

Instructions 1/2

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## Question

What type of test should be used for this alternative hypothesis?

### Possible answers

Two-tailed

Left-tailed

Right-tailed

It doesn't matter; any one will do.

A hypothesis test isn't appropriate to answer this question.