Reading sections are from the Introductory Statistics Textbook
Having learned about probability distributions, let’s take a look at a few different distributions that we have or will learn about.
The most basic distribution is a uniform distribution. In this distribution, all categories have the same probability.
The distribution that is most useful in statistics is the normal distribution. This is most important as we get into the last half of the course.
A normal distribution is characterized with a high probability in the center. This center marks the mean, median, and mode of the data (see Lesson 6 on Measures of Center). The probabilities taper to lower probabilities as the data gets further from the mean.
We’ll study more about normal distributions after the midterm exam.
A left-skewed distribution is almost a normal distribution, but have extra data left of the mode, thus shifting the mean and median to the left.
A right-skewed distribution is almost a normal distribution, but have extra data right of the mode, thus shifting the mean and median to the right.
The next distribution we will be discussing (Lessons 13-14) is the binomial distribution. This is characterized by only having two possible outcomes - either a success or a failure. For example, let’s say that 35% of students at a particular school are involved with sports. If we want to study how many students play sports by taking a sample of 20 students, the binomial distribution shows,
