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. One measure of deviation or surprise is by calculating the expected squared di

ID: 389397 • Letter: #

Question

. One measure of deviation or surprise is by calculating the expected squared distance of each of the various outcomes from their mean value. This is a weighted average squared distance of each possible value from the mean of all observations, where the weights are the probabilities of occurrence. Computationally, we do this by individually squaring the deviation of each possible outcome from the expected value, multiplying this result by its respective probability or likelihood of occurring, and then summing up the resulting products. Identify the measure produced.

a. Variance

b. Confidence

c. Standard deviation

d. Mode

e. Range

Explanation / Answer

Answer:

Option : a : Variance

Explanation:

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