Sampling Distributions MCQs

Welcome to our comprehensive collection of Multiple Choice Questions (MCQs) on Sampling Distributions, a fundamental topic in the field of Business Statistics. Whether you're preparing for competitive exams, honing your problem-solving skills, or simply looking to enhance your abilities in this field, our Sampling Distributions MCQs are designed to help you grasp the core concepts and excel in solving problems.

In this section, you'll find a wide range of Sampling Distributions mcq questions that explore various aspects of Sampling Distributions problems. Each MCQ is crafted to challenge your understanding of Sampling Distributions principles, enabling you to refine your problem-solving techniques. Whether you're a student aiming to ace Business Statistics tests, a job seeker preparing for interviews, or someone simply interested in sharpening their skills, our Sampling Distributions MCQs are your pathway to success in mastering this essential Business Statistics topic.

Note: Each of the following question comes with multiple answer choices. Select the most appropriate option and test your understanding of Sampling Distributions. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

So, are you ready to put your Sampling Distributions knowledge to the test? Let's get started with our carefully curated MCQs!

Sampling Distributions MCQs | Page 3 of 6

Q21.
The theorem which states that as the sample size increases the sampling distribution must approach the normal distribution is classified as
Discuss
Answer: (d).central limit theorem
Q22.
The conditions such as large sample size to represent population and samples must be drawn randomly are included in
Discuss
Answer: (a).principle of statistical regularity
Q23.
The measures in sampling that are results of sample analyses are called
Discuss
Answer: (d).sample statistic
Q24.
All the values in sample distribution that can freely varies in the selected random sample from population are indicated as
Discuss
Answer: (a).degree of freedom
Q25.
IF the population standard deviation is not known then the formula used to calculate standard error is as
Discuss
Answer: (b).s ⁄ sample size square root
Q26.
If the value of x-bar is 70 and the μ of sampling distribution is 15 with the standard deviation is 20 then the standard normal variable is
Discuss
Answer: (a).2.75
Q27.
The uncertainty of elements can be reduced with the estimation of
Discuss
Answer: (c).sampling error
Q28.
The procedure of selecting the desired portion from population which describes the characteristics of whole population is
Discuss
Answer: (a).sampling
Q29.
The standard deviation of a sampling distribution is also classified as
Discuss
Answer: (a).standard error
Q30.
In sampling distribution, the formula of calculating standard deviation of sample proportion is as
Discuss
Answer: (b).square root of pq ⁄ n
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