List of jersey numbers is what type of data? O quantitative data small data O an experiment O categorical data

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 11PPS
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**Question: List of jersey numbers is what type of data?**

**Options:**

- o quantitative data

- o small data

- o an experiment

- o categorical data

**Explanation:**

This image features a multiple-choice question commonly found in educational materials on data types and statistics. The question asks the student to identify what type of data a list of jersey numbers represents.

When considering the options provided:

1. **quantitative data** - Typically involves numerical values that can be measured and ordered in a meaningful way. Examples include height, weight, and quantity.

2. **small data** - This term is not a standard type of data classification and is more a qualitative term to describe data size rather than type.

3. **an experiment** - Refers to a procedure carried out to verify, refute, or establish the validity of a hypothesis which is not a type of data.

4. **categorical data** - Refers to data that can be sorted into categories but do not necessarily have a numerical value. Examples include colors, names, or labels.

A list of jersey numbers is **categorical data** because it is used to categorize or label players rather than measure a specific numerical property.
Transcribed Image Text:**Question: List of jersey numbers is what type of data?** **Options:** - o quantitative data - o small data - o an experiment - o categorical data **Explanation:** This image features a multiple-choice question commonly found in educational materials on data types and statistics. The question asks the student to identify what type of data a list of jersey numbers represents. When considering the options provided: 1. **quantitative data** - Typically involves numerical values that can be measured and ordered in a meaningful way. Examples include height, weight, and quantity. 2. **small data** - This term is not a standard type of data classification and is more a qualitative term to describe data size rather than type. 3. **an experiment** - Refers to a procedure carried out to verify, refute, or establish the validity of a hypothesis which is not a type of data. 4. **categorical data** - Refers to data that can be sorted into categories but do not necessarily have a numerical value. Examples include colors, names, or labels. A list of jersey numbers is **categorical data** because it is used to categorize or label players rather than measure a specific numerical property.
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