This is our study guide to support our understanding of statistics and linear functions--specifically scatter plots and lines of best fit, and two way analysis of categorical data. Answer Key below.
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This lesson had us look at the association between two categorical variables....that is if we know the value of one of our variables, does that help us make predictions about the value of the other variable we're looking at. We created row-relative frequency tables to support this function, and we had the opportunity to look at our own data.
This lesson introduced categorical data and we looked at how to best summarize categorical data collected in two-way tables.
This lesson considered models that were not exact and we selected points on scatterplot that looked to approximate a solid line of best fit and created a linear model to use to make better predictions.
In this lesson, we looked at scatter plots that matched EXACT linear models, and we created linear equations based on our models.
We used our knowledge of lines of best fit and writing linear equations to create equations to model bivariate numerical data.
We looked at data and talked about methods of fitting a line to data...we focused on creating linear functions to represent the trend in data.
In this lesson, we practiced graphing scatter plots and began to analyze them.
We spent the better part of this lesson graphing lines based on stories...go to http://graphingstories.com for more information.
Today, we looked at functions, and discussed the meaning of the line that represented the function.
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May 2016
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