Which of the following are examples of categorical variables quizlet?

Examples of categorical variables are a person's eye color, a person's socioeconomic status (low, medium, or high), a person's political affiliation (Democrat, Republican, or Independent), a person handedness (right-hand or left-hand), a person's view of the death penalty ("strongly agree", "agree", "neutral", " ...
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Which of the following are examples of categorical variables?

Examples of categorical variables are race, sex, age group, and educational level.
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What are the 3 categorical variables?

I constructed a contingency table with three categorical variables (species, elevation, and year) and performed a chi-square analysis to test for independence between them.
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Which are categorical variables?

A categorical variable (sometimes called a nominal variable) is one that has two or more categories, but there is no intrinsic ordering to the categories.
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Which types of data are categorical quizlet?

Categorical variables divide individuals into categories, such as gender, ethnicity, age group, or whether or not the individual finished high school. Some variables, such as social security numbers and zip codes, take numerical values, but are not quantitative: They are qualitative or categorical variables.
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Categorical Versus Quantitative Variables



What is categorical data quizlet?

data that are sorted into categories based on qualitative characteristics.
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Is gender a categorical variable?

For example, gender is a categorical data because it can be categorized into male and female according to some unique qualities possessed by each gender. There are 2 main types of categorical data, namely; nominal data and ordinal data.
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What are the types of categorical data?

There are two main types of categorical data: nominal data and ordinal data.
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What are categorical variables in data science?

Categorical variables contain a finite number of categories or distinct groups. Categorical data might not have a logical order. For example, categorical predictors include gender, material type, and payment method.
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What is categorical variables in statistics?

A categorical variable has values that you can put into a countable number of distinct groups based on a characteristic. For a categorical variable, you can assign categories but the categories have no natural order. If the variable has a natural order, it is an ordinal variable.
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What is an example of a categorical question?

Categorical: Places an individual into one of several groups or categories. Examples: eye color, race, gender. May have numerical values assigned: 1=White, 2=Hispanic, 3=Asian, etc. Other numeric categorical variables include baseball jersey number or zip code.
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What are the 5 types of variables?

These types are briefly outlined in this section.
  • Categorical variables. A categorical variable (also called qualitative variable) refers to a characteristic that can't be quantifiable. ...
  • Nominal variables. ...
  • Ordinal variables. ...
  • Numeric variables. ...
  • Continuous variables. ...
  • Discrete variables.
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Is height a categorical variable?

The variable plant height is a quantitative variable because it takes on numerical values. For example, the height could be 15 inches, 17.5 inches, 19.2 inches, etc.
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What are two categorical variables?

Data concerning two categorical (i.e., nominal- or ordinal-level) variables can be displayed in a two-way contingency table, clustered bar chart, or stacked bar chart.
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What are the 2 types of categorical variables explain and give examples each?

There are two types of categorical variable, nominal and ordinal. A nominal variable has no intrinsic ordering to its categories. For example, gender is a categorical variable having two categories (male and female) with no intrinsic ordering to the categories. An ordinal variable has a clear ordering.
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Which of following are categorical features?

Answer: Branch of an engineering student. Explanation: Branch of an engineering student Is a categorical feature.
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Which is best for categorical variables?

Frequency tables, pie charts, and bar charts are the most appropriate graphical displays for categorical variables.
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Are categorical variables strings?

Categorical variables usually have strings for their values. Many machine learning algorithms do not support string values for the input variables. Therefore, we need to replace these string values with numbers. This process is called categorical variable encoding.
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How do you identify categorical data?

A Test for Identifying Categorical Data
  1. Calculate the number of unique values in the data set.
  2. Calculate the difference between the number of unique values in the data set and the total number of values in the data set.
  3. Calculate the difference as a percentage of the total number of values in the data set.
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Can categorical variables be numbers?

A categorical variable can be expressed as a number for the purpose of statistics, but these numbers do not have the same meaning as a numerical value .
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Is eye color a categorical variable?

Eye colour is qualitative variable, also called a categorical variable. The categories are not ordered. Such a variable is also called nominal.
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Is age categorical or quantitative?

One question that students often have is: Is age considered a qualitative or quantitative variable? The short answer: Age is a quantitative variable because it represents a measurable quantity.
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Which of the following is an example of categorical or qualitative data?

For example: weight, temperature, height, GPA, annual income, etc. are classified under numerical or quantitative data. In comparison, categorical data are qualitative data types. Some examples include: name, hair colour, qualification etc.
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What is the difference between categorical and quantitative variables quizlet?

What is the difference between categorical and quantitative​ variables? A variable is called categorical if each observation belongs to one of a set of categories. A variable is called quantitative if observations on it take numerical values that represent different magnitudes of the variable.
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