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Data Classification Quizzes Online MCQs p. 23

Data Classification quiz questions, data classification multiple choice questions and answers PDF 23 to learn Business Statistics MBA course for college certification. Practice "Data Classification, Tabulation and Presentation" quiz, data classification Multiple Choice Questions (MCQ) for online college degrees. Free data classification MCQs, introduction of estimation, discrete probability distributions, classification: measures of dispersion, principles of sampling, data classification test prep for business administration and management colleges.

"The classification method in which upper and lower limits of interval is also in class interval itself is called", data classification Multiple Choice Questions (MCQ) with choices inclusive method, exclusive method, mid-point method, and ratio method for online colleges for business administration. Learn data classification, tabulation and presentation questions and answers to improve problem solving skills for online bachelor's degree in administration.

Data Classification Questions and Answers

1.

The classification method in which upper and lower limits of interval is also in class interval itself is called

exclusive method
inclusive method
mid-point method
ratio method

2.

The principle which states that larger the sample size larger the accuracy and stability is part of

principle of sampling error
principle of inertia
principle of statistical regularity
principle of statistical irregularity

3.

The relative measures in measures of dispersion are also considered as

coefficient of deviation
coefficient of average
coefficient of variation
coefficient of uniformity

4.

The number of products manufactured in a factory in a day are 3500 and the probability that some pieces are defected is 0.55 then the mean of binomial probability distribution is

1925
6364
63.64
3500

5.

For a parameter whose value is unknown, the belief or claim for that parameter is classified as

parameter claim testing
expected belief testing
hypothesis testing
primary limit testing