Explain the differences between categorical and qualitative data. Provide examples.

Explain the differences between categorical and qualitative data. Provide examples.

Analyzing categorical data
asked 2021-02-05
Explain the differences between categorical and qualitative data. Provide examples.

Answers (1)

Step 1
Categorical or qualitative data are both the same thing. Both are non-numerical data. Either you say categorical data or qualitative data, both are same.
A categorical data or qualitative data represents data types that can be split into groups.
Step 2
There are two types of categorical data or qualitative data
Nominal and Ordinal data
In Nominal, there is no particular order in the categories. For example,
In case of Gender we assign male and female. Here male and female are categorical or qualitative data
Hair colour we assign brown, black, white, etc. Here Brown, black, white are categorical or qualitative data
Weather we can assign sunny, cloudy, snowy, etc. Here sunny, cloudy, snowy are categorical or qualitative data
In Ordinal, we assign the label and There is a particular order
For example
Size of a shirt i.e Small, medium, Large. Here we have assigned the label but at the same time it has particular order. In this Small, medium, Large are categorical or qualitative data
Economic Status of a person, we can assign Low, Medium and High. It has a particular order. Here Low, Medium and High are categorical or qualitative data

Relevant Questions

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The Bureau of Transportation Statistics Omnibus Household Survey is conducted annually and serves as an information source for the U.S. Department of Transportation. In one part of the survey the person being interviewed was asked to respond to the following statement: "Drivers of motor vehicles should be allowed to talk on a hand-held cell phone while driving." Possible responses were strongly agree, some what agree, some what disagree, and strongly disagree. Forty-four respondents said that they strongly agree with this statement, 120 said that they some what agree, 165 said they some what disagree, and 755 said they strongly disagree with this statement.
Do the responses for this statement provide categorical or quantitative data?
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Qualitative data that cannot be ranked is called categorical, nominal
1. True
2. False
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The Kroger Company is one of the largest grocery retailers in the United States, with over 2000 grocery stores across the country. Kroger uses an online customer opinion questionnaire to obtain performance data about its products and services and learn about what motivates its customers (Kroger website, April 2012). In the survey, Kroger customers were asked if they would be willing to pay more for products that had each of the following four characteristics.
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A wallstreet journal subcriber survey asked 46 questions about subcribers characteristics and interest. State whether each of the following questions provides categorical or quantitative data.
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Which statement best characterizes the definitions of categorical and quantitative data?
Quantitative data consist of numbers, whereas categorical data consist of names and labels that are not numeric.
Quantitative data consist of numbers representing measurements or counts, whereas categorical data consist of names or labels
Quantitative data consist of values that can be arranged in order, whereas categorical data consist of values that cannot be arranged in order.
Quantitative data have an uncountable number of possible values, whereas categorical data have a countable number of possible values.
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Select the best suitable answer. If none of the choices represents a correct answer, select “Other” and write your own answer. The school cafeteria collects data on students’ juice box selections. This is an example of
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B numerical, nominal data.
C categorical, ordinal data.
D categorical, nominal data.
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The school cafeteria collects data on students’ juice box selections. What type of data are these?
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2.numerical, discrete data
3.categorical, ordinal data
4.numerical, continuous data