Bivariate means 2 variables, so bivariate data is data that represents two different variables. Scatter plots are a way of representing bivariate measurement data. In this topic we will explore bivariate categorical data.
Today we started topic 15! 15-1 talks about different types of data. We have already talked about quantitative data (how much? how many?) versus qualitative data. Today we learned another way to talk about quantitative data is calling it measurement data. Another word for qualitative data is categorical data. Bivariate means 2 variables, so bivariate data is data that represents two different variables. Scatter plots are a way of representing bivariate measurement data. In this topic we will explore bivariate categorical data. Notes from class today are shown below. The practice from in class today is below. Today we learned about trend lines, which are also called line of best fit. These are lines that represent the overall behavior of the points on a scatter plot. We learned how to draw a trend line, and then we figured out the equation of our trend line. We used slope-intercept form for our equations, which is y=mx+b. Today we looked at patterns that can appear in scatter plots. Clusters are groups of data points that are close together. A gap is an empty space with no data points. Outliers are data points that are far away from the rest of the data. Today we learned how to create a scatter plot. Creating a scatter plot is very similar to graphing points on a coordinate plane!
Today we started Unit 8 which kicks off with topic 14! In 14-1 we learned about scatter plots. A scatter plot is a graph made of dots that represent quantitative data. Quantitative data is data that answers a question like how many or how much. Money, measurements, and time are all common examples of quantitative data. Today we learned how to understand what the points on a scatter plot represent. Use the notes below (from class today) to help you with your homework tonight! |
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