Asked by zay
a raw score is an element of a non standard distribution? true or false
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GPT-5 mini
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True.
A raw score (X) is an observation on the original, unstandardized distribution. Converting it to a standard score uses z = (X − μ)/σ, which yields a value on the standard (mean 0, SD 1) scale. For example, if X = 80, μ = 70, σ = 5, then X is a raw score in the nonstandard distribution and z = (80−70)/5 = 2.
A raw score (X) is an observation on the original, unstandardized distribution. Converting it to a standard score uses z = (X − μ)/σ, which yields a value on the standard (mean 0, SD 1) scale. For example, if X = 80, μ = 70, σ = 5, then X is a raw score in the nonstandard distribution and z = (80−70)/5 = 2.
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