In this lesson, we want to see what happens to our measures of central tendency and spread when we make changes to our data set. Specifically the changes made either by changing all the values in the set at once, or by adding a single data point to, or removing a single data point from, the data set.

Read MoreBar graphs and pie charts can both be used to represent the same set of data. Pie charts will work better for some data sets, but bar graphs will work better for others.

Read MoreSometimes we talk about two-way data in terms of **independent variables** and **dependent variables**. In the case of one-way data, we had one independent variable, called the individuals, and one or more dependent variables, called the variables. In the case of two-way data, we have two independent categories on which the variables are dependent.

A **relative frequency histogram** is the same as a regular histogram, except that we display the frequency of each category as a percentage of the total of the data. A frequency polygon is a polygon-shaped figure that shows the frequency at which each category occurs in the data set.

A Bernoulli random variable is a special category of binomial random variables. Specifically, with a Bernoulli random variable, we have exactly one trial only (binomial random variables can have multiple trials), and we define “success” as a 1 and “failure” as a 0.

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