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 8 of 9

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Q71.
In the normal distribution, the normal curve becomes more wider and more flatter because of

a.

small value of variance

b.

large value of variance

c.

large value of standard deviation

d.

small value of standard deviation

Discuss
Answer: (c).large value of standard deviation
Q72.
The binomial probability distribution is classified as skewed to left if

a.

p > 0.5

b.

q > 0.5

c.

p < 0.5

d.

q < 0.5

Discuss
Answer: (a).p > 0.5
Q73.
If the μ is equal to 4 then the variance of exponential probability distribution is

a.

0.0625

b.

0.085

c.

0.0925

d.

0.0725

Discuss
Answer: (a).0.0625
Q74.
If the parameter μ is 11 and the n of the gamma distribution is 50 then the variance of gamma distribution is

a.

0.713

b.

0.613

c.

0.513

d.

0.413

Discuss
Answer: (d).0.413
Q75.
For the Gamma distribution, if the value of n is equal to 15 and the value of μ is 7 then the expected value for this distribution is

a.

3.14

b.

2.14

c.

4.14

d.

5.14

Discuss
Answer: (b).2.14
Q76.
If the value of m in beta distribution is 5 and the value of n is 25 then the standard deviation of beta distribution is

a.

0.067

b.

0.057

c.

0.047

d.

0.077

Discuss
Answer: (a).0.067
Q77.
The successful life of product, the time, the weight and the height are classified as

a.

continuous random variable

b.

discrete random variable

c.

continuous waiting time variable

d.

continuous hyper geometric variable

Discuss
Answer: (a).continuous random variable
Q78.
The number of units multiply profit per unit multiply probability to calculate

a.

discrete profit

b.

expected profit

c.

weighted profit

d.

continuous profit

Discuss
Answer: (b).expected profit
Q79.
The probability of success increases in the binomial probability distribution if the value of

a.

p increases

b.

p decrease

c.

q increases

d.

q decreases

Discuss
Answer: (a).p increases
Q80.
In beta distribution, the expected value of random variable x is calculated as

a.

E(x) = m ⁄ m - n

b.

E(x) = n ⁄ m + n

c.

E(x) = m ⁄ m + n

d.

E(x) = n ⁄ m * n

Discuss
Answer: (c).E(x) = m ⁄ m + n
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