Statistics! Everybody uses statistics whether you think so or not. We are going to learn all about statistics in this unit. Statistics compare two or more things, so when we represent them, we need to have two variables. Here are some ways that we can represent data, and how we can analyze data to find useful information.
Correlation Coefficients are super helpful in modeling. They let us know how effective Correlation Coefficients are. Here are some videos that explain what it is, and how it relates to data.
In this lesson we learned about the Line of Best Fit. Real-world data isn't as perfect as what we see in class. We want to model this data with a straight line when we can. It's not perfect, but our correlation coefficient tells us how "good" it is.
Lesson 3 is all about interpretation. We want to know what we can learn from a line of best fit. What does it tell us about the data? How does it help us make predictions? Here are some examples of what you will be expected to be able to do.
Learning about Residuals! Residuals tell us how far our data points are from the expected value of the line of best fit. If we add all of the residuals together, they add to zero. These videos show tell us what they are and how they are calculated.
Statistics has so many misconceptions surrounding it. The goal of this lesson is to minimize those misconceptions and correct them now. These articles address misconceptions about residuals and correlation coefficients.
This lesson we explore multiple representations of data, including histograms, dot plots, and box plots. Each of them have certain features that we can use, and each of them is lacking certain features. Here are some videos that will help us interpret each type of representation.
We have talked a lot about different ways to interpret data that we see. In this lesson we learned a new method called Standard Deviation. This tells us how spread out our data is. The larger our standard deviation, the more spread out the data is. Here are some videos explaining.
Lesson 8 is an extension of Lesson 6, but now we are going to go deeper in comparing the different types of representations. These videos show you how to compare histograms, box plots, and dot plots to each other.
This lesson looks at what we call categorical data and two-way frequency tables. These table are used when the data being collected is grouped into categories, not just numbers. Here are some videos helping us read these tables.