Exercises 4 - solutions

library(tidyverse)

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1. A summary statistic, mean of disp

mtcars %>% summarize(mean=mean(disp))

##       mean
## 1 230.7219

2. A histogram of disp

mtcars %>% ggplot(aes(x=disp)) + geom_histogram()

## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

3. A short paragraph explaining what you found

This histogram is difficult to describe because it does not seem to be part of a clear, continuous distribution. Even if we play around with the number of bins (using bins=10, or bins=50). You can give the modes (one, or three), say it’s skewed, and that there are no clear outliers. There is no correct answer: you just need to describe what you see.

This is exploratory data analysis, and the goal is to generate hypotheses that we will test statistically.

Submit the html file on canvas.

Note that the “self_contained: true” section makes it so that you produce an HTML file that contains all the graphics and everything needed to see your results. And that’s what you’ll submit on canvas.