## Sampling and Data

We seek to know about populations: People in a country, state, or city; wildlife in a region; manufatured parts. How do we collect sample data from a population?

## Descriptive Statistics

So we collect sample data, what next? We make pretty and informative charts and graphs, and provide summary statistics.

## Linear Regression

When we have two quantitative variables that may be related, we try to find a relationship between them. One technique is linear regression.

## Probability

Many things in our world are based on chance. With statistics we attempt to estimate population values, like approval ratings, or average life span. We also need to determine the probability that our estimates are incorrect.

## Confidence Intervals

It's time to make predictions about population parameters such as average body temperature and the proportions of voters supporting candidate A.

## Hypothesis Tests

Now that we have estimates of population parameters, we need to test their accuracy.