Section  Topic  Objective  Video 
1.1

 Bar Graphs and Pie Charts
 Graphs: Good and Bad
 TwoWay Tables and Marginal Distributions
 Relationships Between Categorical Variables: Conditional Distributions
 Organizing a Statistical Problem

 Identify the individuals and variables in a set of data
 Classify variables as categorical or quantitative
 Identify units of measurement for a quantitative variable.
 Make a bar graph of the distribution of a categorical variable
 compare related quantities

Recognize when a pie chart can and cannot be used

Identify what makes some graphs deceptive
 From a twoway table of counts
 answer questions involving marginal and conditional distributions

Describe the relationship between two categorical variables by computing appropriate conditional distributions

Construct bar graphs to display the relationship between two categorical variables.


1.2

 Dotplots
 Describing Shape
 Comparing Distributions
 Stemplots
 Histograms
 Using Histograms Wisely

 Make a dotplot or stemplot to display small sets of data

Describe the overall pattern (shape, center, spread) of a distribution and identify any major departures from the pattern (like outliers)

Identify the shape of a distribution from a dotplot, stemplot, or histogram as roughly symmetric or skewed
 Identify the number of modes
 Make a histogram with a reasonable choice of classes


1.3

 Measuring Center: Mean and Median
 Comparing Mean and Median
 Measuring Spread: IQR
 Identifying Outliers
 Five Number Summary and Boxplots
 Measuring Spread: Standard Deviation
 Choosing Measures of Center and Spread

 Calculate and interpret measures of center (mean, median)
 Calculate and interpret measures of spread (IQR)
 Identify outliers using the 1.5 x IQR rule.Make a boxplot.
 Calculate and interpret measures of spread (standard deviation)
 Select appropriate measures of center and spread
 Use appropriate graphs and numerical summaries to compare distributions of quantitative variables.

