Master In Business Administration

Business Statistics MCQs

MBA: Business Statistics MCQs - Subtopic

Standard Errors in Statistics MCQ with Answers

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Standard Errors in Statistics Multiple Choice Questions (MCQ) to practice standard errors in statistics quiz answers PDF, business statistics worksheets for online degrees. Solve sampling distributions Multiple Choice Questions and Answers (MCQs), "Standard Errors in Statistics" quiz questions and answers for online bachelor's degree in business administration. Learn sampling distributions, population parameters and sample statistic, stratified sampling, cluster sampling test prep for online college courses.

"Regardless to difference in distribution of sample and population, the mean of sampling distribution must be equal to" Multiple Choice Questions (MCQ) on standard errors in statistics with choices degree of freedom, statistic error, population mean, and standard error for online bachelor's degree in business administration. Solve standard errors in statistics quiz questions for merit scholarship test and certificate programs for accredited online business administration degree.

MCQs on Standard Errors in Statistics

1.

Regardless to difference in distribution of sample and population, the mean of sampling distribution must be equal to

degree of freedom
statistic error
population mean
standard error

2.

In statistical analysis, the sample size is considered large if

n > or = 30
n < or = 30
n > or = 50
n < or = 50

3.

All the values in sample distribution that can freely varies in the selected random sample from population are indicated as

degree of freedom
degree of error
degree of statistic
degree of possibility

4.

IF the population standard deviation is not known then the formula used to calculate standard error is as

n - 1 ⁄ sample size square root
s ⁄ sample size square root
n + 1 ⁄ square root of s
n * 2 ⁄ sample size square root

5.

The standard deviation of a sampling distribution is also classified as

standard error
statistic error
sampling error
probability error

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