rosling_responses | R Documentation |

## Sample Responses to Two Public Health Questions

### Description

Public health has improved and evolved, but has the public's knowledge
changed with it? This data set explores sample responses for two survey
questions posed by Hans Rosling during lectures to a wide array of
well-educated audiences.

### Usage

```
rosling_responses
```

### Format

A data frame with 278 rows and 3 variables:

- question
ID for the question being posed.

- response
Noting whether the response was `correct`

or `incorrect`

.

- prob_random_correct
The probability the person would have guessed
the answer correctly if they were guessing completely randomly.

### Source

The samples we describe are plausible based on the exact rates observed in larger samples.
For more info on the actual rates observed, visit https://www.gapminder.org.

Another relevant reference is a book by
Hans Rosling, Anna Rosling Ronnlund, and Ola Rosling called
Factfulness.

### Examples

```
frac_correct <- tapply(
rosling_responses$response == "correct",
rosling_responses$question,
mean
)
frac_correct
n <- table(rosling_responses$question)
n
expected <- tapply(
rosling_responses$prob_random_correct,
rosling_responses$question,
mean
)
# Construct confidence intervals.
se <- sqrt(frac_correct * (1 - frac_correct) / n)
# Lower bounds.
frac_correct - 1.96 * se
# Upper bounds.
frac_correct + 1.96 * se
# Construct Z-scores and p-values.
z <- (frac_correct - expected) / se
pt(z, df = n - 1)
```