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www.dummies.com/education/math/statistics/types-of...

When working with statistics, it’s important to recognize the different types of data: numerical (discrete and continuous), categorical, and ordinal. Data are the actual pieces of information that you collect through your study. For example, if you ask five of your friends how many pets they own, they might give you the following data: 0, […]

en.wikipedia.org/wiki/Statistical_data_type

In statistics, groups of individual data points may be classified as belonging to any of various statistical data types, e.g. categorical ("red", "blue", "green"), real number (1.68, -5, 1.7e+6), odd number(1,3,5) etc. The data type is a fundamental component of the semantic content of the variable, and controls which sorts of probability distributions can logically b...

en.wikibooks.org/wiki/Statistics/Different_Types_of_Data/...

Qualitative data Qualitative data is a categorical measurement expressed not in terms of numbers, but rather by means of a natural language description. In statistics, it is often used interchangeably with "categorical" data.

www.reference.com/math/two-major-types-statistics-9ec2cdd1...

The two major types of statistics are descriptive statistics and inferential statistics. Each of these statistical segments serves specific purposes, and they are used to accomplish different objectives. There are two types of statistics. They are descriptive statistics and inferential statistics. Descriptive statistics describes and summarizes ...

towardsdatascience.com/data-types-in-statistics-347e152e8bee

Introduction to Data Types. Having a good understanding of the different data types, also called measurement scales, is a crucial prerequisite for doing Exploratory Data Analysis (EDA), since you can use certain statistical measurements only for specific data types. You also need to know which data type you are dealing with to choose the right ...

en.wikipedia.org/wiki/Statistics

But the mapping of computer science data types to statistical data types depends on which categorization of the latter is being implemented. Other categorizations have been proposed. For example, Mosteller and Tukey (1977) distinguished grades, ranks, counted fractions, counts, amounts, and balances.

cyfar.org/types-statistical-tests

Types of statistical tests: There is a wide range of statistical tests. The decision of which statistical test to use depends on the research design, the distribution of the data, and the type of variable. In general, if the data is normally distributed, you will choose from parametric tests.

baselinesupport.campuslabs.com/hc/en-us/articles/204305665...

Descriptive statistics allow you to characterize your data based on its properties. There are four major types of descriptive statistics: 1. Measures of Frequency: * Count, Percent, Frequency * Shows how often something occurs * Use this when you want to show how often a response is given. 2. Measures of Central Tendency * Mean, Median, and Mode

www.andrews.edu/~calkins/math/edrm611/edrm01.htm

Qualitative data are often termed catagorical data. Some books use the terms individual and variable to reference the objects and characteristics described by a set of data. They also stress the importance of exact definitions of these variables, including what units they are recorded in. The reason the data were collected is also important.