The rules of probability apply to the normal curve. The normal curve is a graph of all the scores in a distribution. The most common (highest probability) score is the mean. The curve represents relative frequency, so the highest part of the curve is also the part with the highest frequency. Scores closer to the mean have higher probabilities. Scores father from the mean have lower probabilities. Scores on the X-axis that are far from the mean have low frequency.
This video teaches the following concepts and techniques:
How to use the normal curve to identify a critical value
Link to a Google Drive folder with all of the files that I use in the videos including the Bear Handout and datasets. As I add new files, they will appear here, as well.
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