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Question

A dataset contains temperatures in Fahrenheit. The analyst proposes converting these to Kelvin before statistical modeling. Evaluate whether the level of measurement changes and indicate which additional arithmetic operations become valid after conversion.

Accepted Answer

Converting Fahrenheit to Kelvin changes interval-level temperatures to ratio-level because Kelvin has an absolute zero, and therefore ratios (multiplication/division) become meaningful for physical temperature comparisons.

Answer

Conversion to Kelvin changes interval to ordinal because the shift introduces a different baseline and only ordering is preserved; subtraction is no longer valid between different scale temperatures.

Answer

Conversion does not change the level; Fahrenheit and Kelvin are both nominal scales for weather descriptions so arithmetic operations do not change validity and ratios remain meaningless.

Answer

Conversion changes the data to categorical labels because Kelvin values are rarely used, so analysts should avoid arithmetic and instead rely on frequency distributions of temperature categories.