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Central Tendency Measures Interview Questions with Answers PDF p. 90

Central Tendency Measures interview questions and answers, central tendency measures trivia questions PDF 90 to practice Business Statistics exam questions for online classes. Practice Measures of Central Tendency MCQ questions, central tendency measures Multiple Choice Questions (MCQ) for online college degrees. Central Tendency Measures Interview Questions: rules of probability and algebra, binomial probability distribution, central tendency measures test prep for best online business management degree.

"The Σxwis divided by Σwis used to calculate" MCQ PDF with choices paired arithmetic mean, weighted arithmetic mean, non-paired arithmetic mean, and square of arithmetic mean for best online business management degree. Learn measures of central tendency questions and answers to improve problem solving skills for business administration and management colleges.

Trivia Quiz on Central Tendency Measures MCQs

MCQ: The Σxwis divided by Σwis used to calculate

weighted arithmetic mean
paired arithmetic mean
non-paired arithmetic mean
square of arithmetic mean

MCQ: The variance of binomial probability distribution is larger in value if

q is greater than 0.5
p and q are equal
p and q are greater than 0.5
p is greater than 0.5

MCQ: The product A has per unit contribution of 6 with the sold quantity of 120 units, product B has per unit contribution of 8 with sold quantity of 100 units and product C has per unit contribution of 10 with sold quantity of 130 units then the weighted average mean is


MCQ: If a luggage bag contains two types of shirts, 40 percent are dress shirts, 45 percent are T-shirts and 30 percent are blue jeans then the probability of selecting a dress shirt in random sample is


MCQ: If the random samples are drawn without replacement and the population from which samples are drawn is infinite then the method which is not applicable is

weighted error probability distribution
hyper geometric probability distribution
Bernoulli probability distribution
asymmetrical random distribution

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