At the end of this unit, you will be able to:
Answer the question: Are variables related?
Represent two categorical variables.
Calculate the summary statistics for two categorical variables.
Represent the relationship between two quantitative variables.
Understand and calculate correlation.
Create and interpret linear regression models.
Calculate and interpret residuals of a graph.
Find, understand, and use the Least Squares Regression line.
Analyze data that isn't linear.
BIG IDEA 1: Variation and Distribution How does a change in one variable affect another? Example: Does the fact that the number of shark attacks increases with ice cream sales necessarily mean that ice cream sales cause shark attacks?
BIG IDEA 2 : Patterns and Uncertainty How do we give value to the difference and similarities between two groups?
Example: how might you represent incomes of individuals with and without a college degree to help describe similarities and/or differences between the two groups?
BIG IDEA 3 : Data-Based Predictions, Decisions, and Conclusions How do we use data to make predictions, decisions, and conclusions?
Example: How can you determine the effectiveness of a linear model that uses the number of cricket chirps per minute to predict temperature?
Analyze Conclude Describe Explain
Justify Identify Table Classify
Interpret Calculate Predict Model
Prove Verify
Context Categorical Variable Quantitative Variable Frequency Table Relative Frequency Bar Chart
Histogram Stem Plots Dot Plots Box Plots Skew Mean
Median Quartiles Range Interquartile Range Standard Deviation Percentile
Outliers Parameter Normal Curve Distribution