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Chapter 1: Problem 16

Classify the variable as qualitative or quantitative. Number of siblings

Short Answer

Expert verified
Quantitative

Step by step solution

01

- Understand the Variable

Determine what the variable represents. In this case, 'Number of siblings' refers to the count of siblings a person has.
02

- Define Qualitative Variables

Qualitative variables, also known as categorical variables, describe non-numeric characteristics or categories. For example, colors, names, or types.
03

- Define Quantitative Variables

Quantitative variables represent numeric values and involve counts or measurements. They can be further categorized into discrete and continuous variables.
04

- Classify the Variable

Since the 'Number of siblings' is a numeric value indicating a count, it falls under the category of quantitative variables. More specifically, it is a discrete quantitative variable because it represents countable items.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Qualitative Variables
Qualitative variables, also known as categorical variables, are used to describe attributes or categories that do not have numerical value or order. These variables help in understanding the different kinds or types within a dataset.
For example:
  • Colors (red, blue, green)
  • Types of fruits (apple, banana, cherry)
  • Names (John, Alice, Bob)
Qualitative variables are crucial in categorizing data based on qualities or categories rather than quantities. They are not meant for arithmetic operations but instead are analyzed through counts or frequencies.
Quantitative Variables
Quantitative variables are used to describe numeric values that indicate amounts or quantities. These variables can be measured or counted and are essential for analyzing numerical data.
Examples include:
  • Height in centimeters
  • Weight in kilograms
  • Number of books
Quantitative variables are classified further into two types: discrete and continuous. Quantitative variables allow for various mathematical operations considering their numeric properties. They are primary in datasets where calculations and numerical comparisons are required.
Discrete Variables
Discrete variables are a subset of quantitative variables. They represent countable, finite values that cannot take on every possible value within a range.
Examples include:
  • Number of siblings
  • Number of students in a class
  • Number of cars in a parking lot
Since discrete variables involve counts, they generally take on integer values. This makes them easier to categorize and analyze compared to continuous variables, which can take on an infinite range of values within a range.

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Most popular questions from this chapter

Professor Andy Neill wanted to determine if the reaction time in people differs in their dominant hand versus their nondominant hand. To do this, he recruited 15 students. Each student was asked to hold a yardstick between the index finger and thumb. The student was asked to open the hand, release the yardstick, and then asked to catch the yardstick between the index finger and thumb. The distance that the yardstick fell served as a measure of reaction time. A coin flip was used to determine whether the student would use their dominant hand first or the nondominant hand. Results indicated that the reaction time in the dominant hand exceeded that of the nondominant hand. (a) What type of experimental design is this? (b) What is the response variable in this study? (c) What is the factor? What is the treatment? (d) Identify the experimental units. (e) Why did Professor Neill use a coin flip to determine whether the student should begin with the dominant hand or the nondominant hand? (f) Draw a diagram similar to Figure 6 or 7 to illustrate the design.

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