CONTINUOUS PROBABILITY DISTRIBUTIONS
Random variables that aren’t whole numbers
The normal probability distribution is the most widely used distribution in statistics and is the major focus of this chapter. After the normal distribution is introduced, the empirical rule is explored, which establishes the amount of data that lies within one, two, or three standard deviations of the mean. The chapter concludes by exploring two additional continuous distributions: uniform and exponential.
Chapter 6 dealt with discrete probability distributions. This chapter brings you back to the land of continuity, where the data isn’t always measured in integers. Weight, distance, and time are just a few examples of continuous random variables. This ...