Explain why the formulas for sample variance and population variance are different.
Answer to relevant QuestionsA population has a mean of m = 80 and a standard deviation of s = 20. a. Would a score of X = 70 be considered an extreme value (out in the tail) in this sample? b. If the standard deviation were s = 5, would a score of X = ...Find the X value corresponding to z = 0.25 for each of the following distributions. a. μ = 40 and σ = 4 b. μ = 40 and σ = 8 c. μ = 40 and σ = 16 d. μ = 40 and σ = 32 A distribution with a mean of μ = 38 and a standard deviation of σ = 5 is transformed into a standardized distribution with μ = 50 and σ = 10. Find the new, standardized score for each of the following valuesfrom the ...A population has a mean of μ = 60 and a standard deviation of σ = 12. a. For this population, find the z-score for each of the following X values. b. For the same population, find the score (X value) that corresponds to ...The distribution of SAT scores is normal with μ = 500 and σ = 100. a. What SAT score, X value, separates the top 15% of the distribution from the rest? b. What SAT score, X value, separates the top 10% of the distribution ...
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