# Probability Distributions MCQs

Welcome to our comprehensive collection of Multiple Choice Questions (MCQs) on Probability 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 Probability 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 Probability Distributions mcq questions that explore various aspects of Probability Distributions problems. Each MCQ is crafted to challenge your understanding of Probability 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 Probability 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 Probability 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 Probability Distributions knowledge to the test? Let's get started with our carefully curated MCQs!

### Probability Distributions MCQs | Page 7 of 9

Q61.
The type of distribution which is useful when the occurrences of events are constant is classified as
Q62.
The probability of failure in binomial distribution is denoted by
Answer: (d).q = 1 - p
Q63.
The variance of binomial probability distribution is larger in value if
Answer: (b).p and q are equal
Q64.
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
Q65.
The value which is used to measure the distance between mean and random variable x in terms of standard deviation is called
Q66.
The type of probability distribution whose standard deviation is one and the mean is equal to zero is classified as