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Test: Theoretical Distributions- 1 - CA Foundation MCQ


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30 Questions MCQ Test - Test: Theoretical Distributions- 1

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Test: Theoretical Distributions- 1 - Question 1

(Direction 1 - 40) Write down the correct answers. Each question carries 1 mark.

Q. A theoretical probability distribution. 

Detailed Solution for Test: Theoretical Distributions- 1 - Question 1

A theoretical probability is a probability number computed using an exact formula based on a mathematical theory or model.

Test: Theoretical Distributions- 1 - Question 2

Probability distribution may be

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Test: Theoretical Distributions- 1 - Question 3

An important discrete probability distribution is

Test: Theoretical Distributions- 1 - Question 4

An important continuous probability distribution

Test: Theoretical Distributions- 1 - Question 5

Parameter is a characteristic of

Test: Theoretical Distributions- 1 - Question 6

An example of a parameter is

Test: Theoretical Distributions- 1 - Question 7

A trial is an attempt to

Test: Theoretical Distributions- 1 - Question 8

The important characteristic(s) of Bernoulli trials

Test: Theoretical Distributions- 1 - Question 9

The probability mass function of binomial distribution is given by

Test: Theoretical Distributions- 1 - Question 10

If x is a binomial variable with parameters n and p, then x can assume

Test: Theoretical Distributions- 1 - Question 11

A binomial distribution is

Test: Theoretical Distributions- 1 - Question 12

The mean of a binomial distribution with parameter n and p is

Test: Theoretical Distributions- 1 - Question 13

The variance of a binomial distribution with parameters n and p is

Test: Theoretical Distributions- 1 - Question 14

An example of a bi-parametric discrete probability distribution is

Test: Theoretical Distributions- 1 - Question 15

For a binomial distribution, mean and mode

Test: Theoretical Distributions- 1 - Question 16

The mean of binomial distribution is

Test: Theoretical Distributions- 1 - Question 17

For a binomial distribution, there may be

Test: Theoretical Distributions- 1 - Question 18

The maximum value of the variance of a binomial distribution with parameters n and p is

Test: Theoretical Distributions- 1 - Question 19

The method usually applied for fitting a binomial distribution is known as

Test: Theoretical Distributions- 1 - Question 20

Which one is not a condition of Poisson model?

Test: Theoretical Distributions- 1 - Question 21

Which one is uniparametric distribution?

Test: Theoretical Distributions- 1 - Question 22

For a Poisson distribution,

Test: Theoretical Distributions- 1 - Question 23

Poisson distribution may be

Test: Theoretical Distributions- 1 - Question 24

Poisson distribution is

Test: Theoretical Distributions- 1 - Question 25

A binomial distribution with parameters m and p can be approximated by a Poisson distribution with parameter m = np is

Test: Theoretical Distributions- 1 - Question 26

For Poisson fitting to an observed frequency distribution,

Test: Theoretical Distributions- 1 - Question 27

The most important continuous probability distribution is known as

Detailed Solution for Test: Theoretical Distributions- 1 - Question 27

A chi-square distribution is a continuous distribution with k degrees of freedom. It is used to describe the distribution of a sum of squared random variables. The normal distribution, which is continuous, is the most important of all the probability distributions. Its graph is bell-shaped. This bell-shaped curve is used in almost all disciplines. Since it is a continuous distribution, the total area under the curve is one.

Test: Theoretical Distributions- 1 - Question 28

The probability density function of a normal variable x is given by

Test: Theoretical Distributions- 1 - Question 29

The total area of the normal curve is

Test: Theoretical Distributions- 1 - Question 30

The normal curve is

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