PR 680 Lecture Notes - Lecture 53: Statistical Inference, Descriptive Statistics, Central Tendency

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Statistics is basically the science of collecting, analyzing, and interpreting data even presenting it as well. Statistics can be broken into two categories: descriptive and inferential. You have to learn descriptive statistics before you learn about inferential statistics. Descriptive statistics: organizing and summarizing data using numbers and graphs, data can be summarized using: Pie charts, which is very useful if you want to break it down into categories based on percentages. In another graph you can organize it using a line graph. You can also use tables like a frequency table. It could be skewed to the left or right: we can also describe our data using numbers like mean, median and mode, which are measures of central tendency. There are two types of means you want to be familiar with, the first one is the sample mean, which is a sum of your sample data divided by the number of data items in your sample.

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