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Classify each of the following variables as either categorical or numerical. For those that are numerical, determine whether they are discrete or continuous. a. Brand of computer purchased by a customer b. State of birth for someone born in the United States c. Price of a textbook d. Concentration of a contaminant (micrograms per cubic centimeter) in a water sample e. Zip code (Think carefully about this one.) f. Actual weight of coffee in a 1 -pound can

Short Answer

Expert verified
a. Categorical. b. Categorical. c. Numerical - Continuous. d. Numerical - Continuous. e. Categorical. f. Numerical - Continuous.

Step by step solution

01

Classify 'Brand of computer purchased by a customer'

This is categorical data. Brands are considered categories, not numerical values.
02

Classify 'State of birth for someone born in the United States'

This is also categorical data. States are categories, not numerical values that could be meaningfully added together, for example.
03

Classify 'Price of a textbook'

This is numerical data. Prices can be meaningfully added together, subtracted, etc. Because price could theoretically take on any value within a certain range, it is continuous.
04

Classify 'Concentration of a contaminant (micrograms per cubic centimeter) in a water sample'

This is numerical data. Concentrations are expressed in numbers and can be meaningfully manipulated mathematically. Because concentration could theoretically be any value within a certain range, it is continuous.
05

Classify 'Zip code'

Although a zip code is composed of numbers, it is actually categorical data. This is because zip codes represent categories (specific geographic areas) and it doesn't make sense to perform mathematical operations on them. For example, adding together two zip codes would have no meaningful interpretation.
06

Classify 'Actual weight of coffee in a 1 -pound can'

This is numerical data, more specifically, it's continuous. While we might have specific measurements, in theory the weight of coffee could take on any value within a certain range (up to 1 pound in this case).

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