PR 680 Lecture Notes - Lecture 61: Interquartile Range, Bar Chart, Statistical Hypothesis Testing

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Learn about the t test, p test and more. The most common statistical questions we see when we look at sample data is: We see differences between two groups, so like men are taller than women. We see relationships between variables, like taller people way more than shorter people committed. You can see how by looking at various combinations of variables and variable types you can identify very specific differences between groups and very specific relationships between variables. Imagine you have a research question about the height and the weight of people living in. Those variables will be the object of the inquiry. Most data sets that you work with will contain two types of variables: categorical and numerical. Categorial variables contain variables like gender like content categories as the name suggests. Think of them as groups or buckets that the data can be arranged into, in this case males and females.

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