Hypothesis Testing Population Proportion

## Description

Here, we will use R to perform a 1 proportion z test using the `prop.test` command.

The `prop.test` command takes parameters from these data to return a result. For a 1 proportion z test, we will use the following parameters:

`x`: The number of successes, in other words $\hat{p} \cdot n$`n`: The sample size`p`: The proportion predicted by the null hypothesis`alternative`: Can be set to "two.sided", "greater" or "less", depending on the alternative hypothesis.`conf.level`: Sets the confidence level of the returned confidence interval.`correct`: Applies Yates's correction for continuity if`TRUE`. Does not apply if`FALSE`.

We will use the following specific parameters:

`x = 82``n = 100``p = 0.9``alternative = "two.sided"``correct = FALSE`

## Sage Cell

#### Code

`prop.test(x = 82, n = 100, p=0.9, alternative = "two.sided", correct = FALSE)`

## Options

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Date: 26 Apr 2019 02:14

Submitted by: Zane Corbiere