3: Numerical Summaries of Data
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- 3.1: Measures of Center
- In this section, we discuss how to measure the center of the data, or in other words how to define what is a typical observation in the data set.
- 3.2: Parameter and Statistic
- In this section, we discuss the terminology associated with using samples to learn more about populations.
- 3.3: Measures of Variation
- In this section, we discuss the measures of variation or spread that describe how much data varies from the center.
- 3.4: Interpreting the Mean and Standard Deviation
- In this section, we discuss how to get an idea about the data distribution from the measures of the center and variation.
- 3.5: Measures of Relative Standing
- In this section, we discuss the measures of relative standing that allow us to rank each observation in the data set.
- 3.6: Five-Number Summaries and Boxplots
- In this section, we discuss how to figure out the shape of the distribution and the outliers using alternative numerical summaries.