1. Aprende
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  2. Cursos
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  3. Inference for Categorical Data in R
  • 1

    Inference for a single parameter

    Gratuito

    In this chapter you will learn how to perform statistical inference on a single parameter that describes categorical data. This includes both resampling based methods and approximation based methods for a single proportion.

  • 2

    Proportions: testing and power

    This chapter dives deeper into performing hypothesis tests and creating confidence intervals for a single parameter. Then, you'll learn how to perform inference on a difference between two proportions. Finally, this chapter wraps up with an exploration of what happens when you know the null hypothesis is true.

  • 3

    Comparing many parameters: independence

    This part of the course will teach you how to use both resampling methods and classical methods to test for the indepence of two categorical variables. This chapter covers how to perform a Chi-squared test.

  • 4

    Comparing many parameters: goodness of fit

    The course wraps up with two case studies using election data. Here, you'll learn how to use a Chi-squared test to check goodness-of-fit. You'll study election results from Iran and Iowa and test if Benford's law applies to these datasets.

Initializing

Ejercicio

Death penalty and sex

While you're on the topic of death and the afterlife, take a look at another question from the GSS:

Do you favor or oppose the death penalty for people convicted of murder?

Your objective here is to explore if opinions on capital punishment (cappun) diverged between men and women in the gss2016 data.

Instrucciones 1/3

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Construct a bar plot to visualize the distribution of cappun broken down by sex. To enable easy comparison, be sure you're plotting proportions instead of counts (recall this means you set the position of the bars so that they "fill" the plot).