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 1 of 9

Q1.
In binomial probability distribution, the dependents of standard deviations must includes
Discuss
Answer: (d).all of above
Q2.
The formula to calculate standardized normal random variable is
Discuss
Answer: (a).x - μ ⁄ σ
Q3.
In random experiment, the observations of random variable are classified as
Discuss
Answer: (c).trials
Q4.
In binomial distribution, the formula of calculating standard deviation is
Discuss
Answer: (c).square root of npq
Q5.
The variance of random variable x of gamma distribution can be calculated as
Discuss
Answer: (b).Var(x) = n ⁄ μ²;
Q6.
The formula in which the Poisson probability distribution approaches normal probability distribution with the help of normal variable is written as
Discuss
Answer: (c).x - λ ⁄ square root of λ
Q7.
The distribution whose function is calculated by considering the Bernoulli trials that are infinite In number is classified as
Discuss
Answer: (d).negative binomial probability distribution
Q8.
In the Poisson probability distribution, if the value of λ is integer then the distribution will be
Discuss
Answer: (a).bimodal
Q9.
The mean of binomial probability distribution is 857.6 and the probability is 64% then the number of values of binomial distribution
Discuss
Answer: (b).1340
Q10.
The tail or head, the one or zero and the girl and boy are examples of
Discuss
Answer: (b).complementary events
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