Weight is measured on a ratio level of measurement in statistics. This is because weight has a true zero point (an object with zero weight) and allows for meaningful comparisons, such as stating that one object is twice as heavy as another. Additionally, both differences and ratios of weight can be calculated, making it a quantitative measure.
Ration- the highest level of measurement in terms of statistics which it is an absolute zero, and It is under the quantitative variable(numerical).
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Weight is typically measured on a ratio scale. This level of measurement has a true zero point (e.g., zero weight means the absence of weight) and allows for meaningful comparisons between values, such as saying one object is twice as heavy as another. Additionally, both differences and ratios of weight can be calculated, making it a versatile measurement scale in various contexts.
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Dress color is measured on a nominal level in statistics. This type of measurement categorizes data without a specific order or ranking, as colors represent distinct categories (e.g., red, blue, green) that cannot be quantitatively compared. Each color is simply a label, and the data can be used for counting or frequency analysis.
Ration- the highest level of measurement in terms of statistics which it is an absolute zero, and It is under the quantitative variable(numerical).
Ratio level of measurement is the highest in statistics.
Level of measurement most inferential statistics rely upon is ratio.
Lowest level of measurement in statistics is nominal.For example, 20% are Catholics, 30% are Protestants and 50% are Mormons.
Ratio scale
Nominal
Examples of ratio level of measurement are age, weight, and amount of money.
Square root 2*x-2*x
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5 examples of 4 levels of measurement in statistics
Grade scores are an ordinal level of measurement. A ratio level of measurement would be weight of a person or how much money a person has.
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