AP Statistics (1st Period)

1.1 Analyzing Categorical Data

• Identify the individuals and variables in a set of data

• Classify variables as categorical or quantitative.

• Make and interpret bar graphs for categorical data

• Identify what makes some graphs of categorical data misleading

• Calculate marginal and joint relative frequencies from a two-way table.

• Calculate conditional relative frequencies from a two-way table.

• Use bar graphs to compare distributions of categorical data.

• Describe the nature of the association between two categorical variables.

1.2 Displaying Quantitative Data with Graphs

• Make and interpret dot plots, stemplots, and histograms of quantitative data.

• Identify the shape of a distribution from a graph.

• Describe the overall pattern (shape, center, and variability) of a distribution and identify any major departures from the pattern (outliers).

• Compare distributions of quantitative data using dot plots, stemplots, and histograms.

1.3 Describing Quantitative Data with Numbers

• Calculate measures of center (mean, median) for a distribution of quantitative data.

• Calculate and interpret measures of variability (range, standard deviation, IQR) for a distribution of quantitative data.

• Explain how outliers and skewness affect measures of center and variability.

• Make and interpret boxplots of quantitative data.

• Identify outliers using the 1.5 X IQR rule.

• Use boxplots and numerical summaries to compare distributions of quantitative data.