Which of the Following Variables Can Be Classified as Categorical

Thickness of paint layer. Which of the following statements are true.

Numeric Vs Categoric Data What Is Data Data Science Statistics Data

Quantitative variables are any variables where the data represent amounts eg.

. Categorical variables can be continuous variables. Quantitative variables can be discrete variables. Question 8Multiple Choice Worth 4 points 0101 LC Which of the following variables can be classified as categorical.

All variables can be classified as quantitative or categorical variables. This is a categorical variable. Time spent on exam III.

Categorical variables can be continuous variables. These types of variables have no numerical meaning when they are measured or observed and include things like hair color eye color gender city of birth etc. Paint flaws peel scratch smudge other.

Phone number I only I and IV only Il and Ill only O II III and IV. A census asks residents for the highest level of education they have obtained. A I only B II only C III only D I and II E I and III.

Less than high school high school 2-year degree 4-year degree masters degree doctoralprofessional degree. Discrete variable Discrete variables are numeric variables that have a countable number of values between any two values. Which of the following statements are true.

This includes rankings eg. Phone number I only. Gender - Categorical 2.

All variables can be classified as quantitative or categorical variables. Answer the following statement true T or false F business-statistics-and-math. Quantitative variables can be discrete variables.

Categorical variables can be continuous variables. A Age B Annual income C Grade point average D Religion. Exam letter grade II.

Automobile body painting. All variables can be classified as quantitative or categorical variables. Asked Aug 12 2019 in Business by Tzeitel.

Categorical variables however are not numeric. For example the difference between. Classify the following variables as Categorical or Numerical.

Quantitative variables can be discrete variables. I and II e. All variable can be classified as quantitative or categorical variables.

A I only B II only C III only D I and II E I and III Solution The correct answer is E. Categorical variables can be continuous variables. In R these can be represented by an ordered factor.

The correct answer is E. Make and model. Brands of cereal and binary outcomes eg.

Exam letter grade II. Categorical variables however are. Exam letter grade Time spent on exam Class population Phone number I only.

In addition to being able to classify people into these three categories you can order the. The correct answer is E. Discrete variables are indeed a category of quantitative variables.

Discrete variables are indeed a category of quantitative variables. The difference between the two is that there is a clear ordering of the categories. A discrete variable is always numeric.

Years in Service c. For example suppose you have a variable economic status with three categories low medium and high. Size of Shirt XS S M L XL h.

Solution for Which of the following variables can be classified as categorical. 0101 LC Which of the following variables can be classified as categorical. A census asks residents for the highest level of education they have obtained.

Possible categorical variables Possible quantitative variables. Brand of Cellular Phone g. For example categorical predictors include gender material type and payment method.

Nominal when there is no natural ordering among the categories. An ordinal variable is similar to a categorical variable. This is a categorical variable.

Household appliance sales. Which of the following can best be described as a categorical variable. Categorical variables take category or label values and place an individual into one of several groups.

Typically these are included in a model using dummy encoding with. For example the difference between. Categorical variables are often further classified as either.

While there is a meaningful order of educational attainment the differences between each category are not consistent. Height weight or age. While there is a meaningful order of educational attainment the differences between each category are not consistent.

Whether a person has a college degree. Categorical variables can be classified as either discrete or continuous. Which of the following is a categorical variable.

Quantitative variables can be discrete variables. The age intervals are an ordinal variable. Number of people employed by.

Less than high school high school 2-year degree 4-year degree masters degree doctoralprofessional degree. Answered Aug 12 2019 by. Any variables that are not quantitative are qualitative or a categorical variable.

Quantitative variables can be discrete variables. For example the number of customer complaints or the number of flaws or defects. Categorical variables can be continuous variable.

Daily sales in a store. All variables can be classified as quantitative or categorical variables. Classify the following as Nominal Ordinal Interval or Ration.

A I only B II only C III only D I and II E I and III Solution. Finishing places in a race classifications eg. Time spent on exam III.

Temperature of metal to be painted. Categorical variables are any variables where the data represent groups. All variables can be classified as quantitative or categorical variables.

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