In this chapter, students will learn how to perform a hypothesis test and interpret its results.

In this chapter, we introduce statistics, how it is used, and the types of data we come across in real life.

In this chapter, students will describe and model variability using population and sampling distributions.

In this chapter, students will learn how to construct and interpret a confidence interval for a population mean and a population proportion.

In this chapter, students interpret confidence intervals and the results of hypothesis tests for the difference between two means and the difference between two proportions.

In this chapter, we explore the different ways to display categorical data and draw conclusions based on the representations.

In this chapter, we explore various methods of data collection and potential problems that may occur when collecting data.

In this chapter, students explore probability and random variables.

In this chapter, we explore different ways to display quantitative data, and draw conclusions based on the representations.

In this chapter, students explore the relationship between two quantitative variables. Students will analyze scatterplots for strength, direction, and form; interpret the correlation coefficient; determine the line of best fit using least-squares regression; use the line of best fit to make predictions for a value of y given a value of x; interpret the slope and the y-intercept; learn about alternative methods of finding the line of best fit, including the median-median line and the absolute value line; and identify outliers and influential points and their effects on the regression line and correlation coefficient.

In this chapter, students will learn multiple measures for center and spread, and will be introduced to the normal distribution and the empirical rule.