Explore topic-wise MCQs in Testing Subject.

This section includes 657 Mcqs, each offering curated multiple-choice questions to sharpen your Testing Subject knowledge and support exam preparation. Choose a topic below to get started.

1.

The selling price of product is subtracted from purchasing price of product to calculate

A. profit of product
B. loss of profit
C. cumulative average
D. weighted average
Answer» B. loss of profit
Discussion
2.

If the value of m in beta distribution is 35 and the value of n in beta distribution is 50 then the expected value of random variable x in beta distribution is

A. 0.411
B. 0.311
C. 0.511
D. 0.211
Answer» B. 0.311
Discussion
3.

In the Poisson probability distribution, if the value of λ is integer then the distribution will be

A. bimodal
B. unimodal
C. positive modal
D. negative modal
Answer» B. unimodal
Discussion
4.

The binomial probability distribution is classified as symmetric if

A. value of p and q is equal
B. value of p is greater than q
C. value of p is smaller than q
D. all of above
Answer» B. value of p is greater than q
Discussion
5.

The probability of failure in binomial distribution is denoted by

A. p = q +1
B. p = q - 1
C. q = 1 + p
D. q = 1 - p
Answer» E.
Discussion
6.

If the trial is repeated 6 times and the chances of success for desired outcome is 0.75 then the variance for negative probability distribution is

A. 4.67
B. 2.67
C. 3.67
D. 5.67
Answer» C. 3.67
Discussion
7.

If the value of λ is 9 and value of random variable x is 5 then the value of z-score is

A. −2.58
B. −1.86
C. −2.34
D. −1.34
Answer» E.
Discussion
8.

If the chances of success in a distribution are 0.68 and the number of values in distribution are 4 then the mean of Poisson probability distribution is

A. 3.72
B. 1.72
C. 2.72
D. 4.72
Answer» D. 4.72
Discussion
9.

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
Answer» C. 4.14
Discussion
10.

The formula of calculating the expected value of random variable x of gamma distribution is as

A. E(x) = n ⁄ μ
B. E(x) = pq ⁄ μ
C. E(x) = μ ⁄ np
D. E(x) = α ⁄ μ
Answer» B. E(x) = pq ⁄ μ
Discussion
11.

The type of distribution which is useful when the occurrences of events are constant is classified as

A. open frequency distribution
B. class frequency distribution
C. rectangular distribution
D. square distribution
Answer» D. square distribution
Discussion
12.

The probability distribution of discrete random variable is classified as

A. probability mass function
B. posterior mass function
C. interior mass function
D. continuous mass function
Answer» B. posterior mass function
Discussion
13.

The class of variable which can accept only the values from set of integers is classified as

A. discrete random variable
B. continuous random variable
C. posterior random variable
D. interior random variable
Answer» B. continuous random variable
Discussion
14.

if the z-score of normal distribution is 2.5, the mean of the distribution is 45 and the standard deviation of normal distribution is 3 then the value of x for a normal distribution is

A. 97.5
B. 47.5
C. 37.5
D. 67.5
Answer» D. 67.5
Discussion
15.

The value which is used to measure the distance between mean and random variable x in terms of standard deviation is called

A. z-value
B. variance
C. probability of x
D. density function of x
Answer» B. variance
Discussion
16.

In the classification of probability distributions, the 'Erlang distribution' is also called

A. alpha distribution
B. beta distribution
C. gamma distribution
D. exponential distribution
Answer» D. exponential distribution
Discussion
17.

The formula of calculating mean for hyper geometric probability distribution is

A. n (m ⁄ n)
B. m (n ⁄ n)
C. n (n ⁄ m)
D. n (m ⁄ n)
Answer» E.
Discussion
18.

If the rate of occurrences in Poisson probability distribution is smaller and the occurrences have large numbers then the distribution tends to be

A. negatively skewed and mesokurtic
B. positively skewed and mesokurtic
C. symmetrical and leptokurtic
D. symmetrical and mesokurtic
Answer» E.
Discussion
19.

If the sample size is 6 and the population is 50 from which it is drawn without replacement and the elements for success are 22 then the variance of hyper geometric probability distribution is

A. 1.388
B. 2.388
C. 3.388
D. 4.388
Answer» B. 2.388
Discussion
20.

If the value of x for normal distribution is 35, the mean of normal distribution is 65 and the standard deviation is 25 then the standardized random variable is

A. −1.5
B. −1.2
C. −1.7
D. −4
Answer» C. −1.7
Discussion
21.

Consider the probability distribution as standard normal, if the value of μ is 75, the value of x is 120 with the unknown standard deviation of distribution then the value of z-statistic

A. will be one
B. will be zero
C. will be negative
D. will be positive
Answer» E.
Discussion
22.

If the μ is equal to 25 then the value of mean for exponential probability distribution is

A. 0.4
B. 0.08
C. 0.07
D. 0.04
Answer» E.
Discussion
23.

The discrete probability distribution in which the outcome is very small with a very small period of time is classified as

A. posterior distribution
B. cumulative distribution
C. normal distribution
D. Poisson distribution
Answer» E.
Discussion
24.

If the total number of elements with some specific characteristics is 18 from a population of 40 and the sample is drawn without replacement with the size of 4 then the mean of hyper geometric probability distribution is

A. 4.8
B. 1.8
C. 2.8
D. 3.8
Answer» C. 2.8
Discussion
25.

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

A. weighted error probability distribution
B. hyper geometric probability distribution
C. Bernoulli probability distribution
D. asymmetrical random distribution
Answer» C. Bernoulli probability distribution
Discussion
26.

The class of variable which can accept any value within the upper and lower limit is classified as

A. posterior random variable
B. interior random variable
C. discrete random variable
D. continuous random variable
Answer» E.
Discussion
27.

The tail or head, the one or zero and the girl and boy are examples of

A. non functional events
B. complementary events
C. non complementary events
D. functional events
Answer» C. non complementary events
Discussion
28.

The number of products manufactured in a factory in a day are 3500 and the probability that some pieces are defected is 0.55 then the mean of binomial probability distribution is

A. 1925
B. 6364
C. 63.64
D. 3500
Answer» B. 6364
Discussion
29.

The condition for negative exponential distribution considering mean (μ) is that

A. μ must be less than zero
B. μ must be greater than one
C. μ must be greater than zero
D. μ must be smaller than twp
Answer» D. μ must be smaller than twp
Discussion
30.

The value which is obtained by multiplying the possible values of random variable with the probability of occurrence and is equal to weighted average is called

A. discrete value
B. weighted value
C. expected value
D. cumulative value
Answer» D. cumulative value
Discussion
31.

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
Answer» D. small value of standard deviation
Discussion
32.

The formula to calculate standardized normal random variable is

A. x - μ ⁄ σ
B. x + μ ⁄ σ
C. x - σ ⁄ μ
D. x + σ ⁄ μ
Answer» B. x + μ ⁄ σ
Discussion
33.

In a negative binomial distribution of probability, the random variable is also classified as

A. discrete random variable
B. continuous waiting time random variable
C. discrete waiting time random variable
D. discrete negative binomial variable
Answer» D. discrete negative binomial variable
Discussion