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Lesson 1: Organizing Data

I can organize data to see patterns more clearly.
Lesson 2: Plotting Data

I can draw a scatter plot to show data that has two paired variables.
Lesson 3: What a Point in a Scatter Plot Means

I can describe the meaning of a point in a scatter plot in context.
Lesson 4: Fitting a Line to Data

I can use a model to predict values for data.

I can pick out outliers on a scatter plot.
Lesson 5: Describing Trends in Scatter Plots

I can say whether data in a scatter plot has a positive or negative association (or neither).

I can draw a line to fit data in a scatter plot.
Lesson 6: The Slope of a Fitted Line

I can use the slope of a line fit to data in a scatter plot to say how the variables are connected in realworld situations.
Lesson 7: Observing More Patterns in Scatter Plots

I can pick out clusters in data from a scatter plot.

I can use a scatter plot to decide if two variables have a linear association.
Lesson 8: Analyzing Bivariate Data

I can analyze a set of data to determine associations between two variables.
Lesson 9: Looking for Associations

I can identify the same data represented in a bar graph, a segmented bar graph, and a twoway table.

I can use a twoway frequency table or relative frequency table to find associations among variables.
Lesson 10: Using Data Displays to Find Associations

I can create relative frequency tables, bar graphs, and segmented bar graphs from frequency tables to find associations among variables.
Lesson 11: Gone In 30 Seconds

I can collect data and analyze it for associations using scatter plots, twoway tables, and segmented bar graphs.