Bar charts are often used as a graphical method of analyzing categorical variable data. The data that is observed can be entered as raw numbers or as percentages, which are preferred. With a bar chart, the total for each group is shown. ...
An introduction to the independent t-test. Learn when you should run this test, what variables are needed and what the assumptions you need to test for first.
In order to include a categorical predictor, it must be converted to a number of dichotomous variables, commonly referred to as dummy variables.This illustrates that in regression, dichotomous variables are treated as metric rather than categorical variables....
Continuous variables can have an infinite number of different values between two given points. As shown above, there cannot be a continuous scale of children within a family. If height were being measured though, the variables would be continuous as there are an unlimited number of possibilities ...
Cluster analysis can be a powerful data-mining tool to identify discrete groups of customers, sales transactions, or types of behaviours.
Qualitative data can be observed and recorded. This type of data is not numerical in nature. They are collected through observation methods, individual interviews, focus groups, and other similar methods. In statistics, qualitative data is also called categorical data. Data that can be classified ...
Qualitative variables are sometimes referred to as categorical variables. Quantitative variables are those variables that are measured in terms of numbers. Some examples of quantitative variables are height, weight, and shoe size. In the study on the effect of diet discussed previously, the ...
Categorical data is a type of data that can be divided or classified into groups. Understand the definition and examples of categorical data, learn to distinguish categorical data from quantitative data, and explore the uses of categorical data. ...
Views are temporary, and as soon as you delete them, you lose the filtered data. Here, when you work with Google Analytics, you should know two important terms: Dimensions vs Metrics Categorical variables, i.e., they are descriptive and not numeric. Think about names, colors, and more. ...
An introduction to the dependent t-test. Learn when you should run this test, what variables are needed and what type of experimental study design would suit using a dependent t-test.