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Math · Algebra 1 · Unit 3

Unit 3: Two-Variable Statistics

Students use statistical methods to look for associations in bivariate data, working with two-way tables, scatter plots, lines of best fit, residuals, and correlation coefficients.

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Unit

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Concept

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What this unit covers

A Two-Way Tables · 3 lessons
Goals
  • Create relative frequency tables from information given in a two-way table or about a situation.
  • Inspect patterns in relative frequency tables and two-way tables to determine if there is a possible association between two variables of interest.
Lessons
  1. Two-Way Tables
  2. Relative Frequency Tables
  3. Associations in Categorical Data
B Scatter Plots · 3 lessons
Goals
  • Comprehend the connection between residuals, variability, and whether or not using a linear model is appropriate.
  • Interpret the rate of change and vertical intercept for a linear model in the context of a situation.
Lessons
  1. Linear Models
  2. Fitting Lines
  3. Residuals
C Correlation Coefficients · 3 lessons
Goals
  • Describe the strength and sign of the relationship between variables based on the correlation coefficient.
  • Investigate the relationship between two variables to analyze whether or not the relationship is causal.
Lessons
  1. The Correlation Coefficient
  2. Using the Correlation Coefficient
  3. Causal Relationships
D Let's Put It to Work · 1 lesson
Lessons
  1. Fossils and Flags (Optional)
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Adapted from the Illustrative Mathematics curriculum (v.360), licensed CC BY-NC 4.0. © Illustrative Mathematics.