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GITNUX MARKETDATA REPORT 2024

# Nominal Scale Statistics: Market Report & Data

## Statistic 1

"Nominal scale is used to name variables without providing any quantitative value. It's a categorical scale used for labeling variables into distinct classifications and doesnâ€™t involve any quantitative classification."

## Statistic 2

"Nominal scale implies a simple labeling system, where no ranking is implied."

## Statistic 3

"Nominal scales are generally used in researches of qualitative nature, where statistical calculations donâ€™t hold meaning."

## Statistic 4

"The nominal scale was invented by Stanley Smith Stevens, an American Psychologist."

## Statistic 5

"A wide range of statistical operations, including correlation, mean, mode and median cannot be applied to the nominal scale data."

## Statistic 6

"Binary data like gender (Male/Female) is a common example of data collected using a nominal scale."

## Statistic 7

"Among the four levels of measurement, including nominal, ordinal, interval, and ratio, nominal is considered the lowest measurement level."

## Statistic 8

"Nominal scale data does not involve any order or structure but only the categorization of data points."

## Statistic 9

"Nominal scales are typically used when the options are mutually exclusive categories."

## Statistic 10

"In marketing research, nominal scale is commonly used in brand awareness studies."

## Statistic 11

"A nominal scale measurement normally deals with non-numeric variables and concepts like names, gender, race, religion, etc."

## Statistic 12

"The word nominal has its origin from the Latin â€˜nomenâ€™, meaning â€˜nameâ€™. â€˜Namingâ€™, thus, is the prime function of the nominal scale."

## Statistic 13

"The nominal scale is used in humanities and social sciences because it aids in determining the equality of two items."

## Statistic 14

"The standard deviation, a measure of the spread of a distribution, is not meaningful for nominal scale data."

## Statistic 15

"In nominal scale data, the only operation that can be applied is counting the number of observations in each category to determine frequencies."

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