## Chapter Lessons:

This chapter is short and simple. It introduces the basic types of groups you’ll study, the different types of data that can be collected from those groups, and the various types of studies that can be performed using that data.

The amount of data produced by research studies can be enormous. In this chapter we learn to organize and summarize raw data into frequency distribution tables, and then graph these tables as bar charts, histograms, polygons, and stem-an…

Another method for summarizing large data sets is to find a single value that is “typical” of the entire distribution. In this chapter I’ll teach you how to find three of these “measures of central tendency”: The Mean, The Media, and The…

In this chapter we’re introduced to the importance of variability as a measure of the degree to which scores in a distribution are spread out or clustered together. Three basic measures of variability are covered: range, variance, and s…

In this video we introduce z scores and show how they describe the location of a raw (X) score on a distribution. You’ll learn to transform X values into z-scores, z-scores into X values, and meaning and uses of a standardized distributi…

Here we dig into the real core elements of statistics: probability and random sampling. We’ll connect the concepts of probability, proportion, percentile, and percentile rank, and show how to find their values on the unit normal table us…

Need to brush up on some high school math? I’ve got you covered here with order of operations, fractions, solving equations, and more!