Explore topic-wise MCQs in Statistics .

This section includes 69 Mcqs, each offering curated multiple-choice questions to sharpen your Statistics knowledge and support exam preparation. Choose a topic below to get started.

1.

Which of the following is not the property of binomial distribution ?

A. n is fixed
B. Has two outcomes
C. Trials are independent
D. Probability of success varies from trial to trial
Answer» E.
2.

Which of the following is not a requirement for binomial distribution ?

A. Constant Probability of Success
B. Only two possible outcomes
C. A fixed number of trials
D. Equally likely outcomes
Answer» E.
3.

Which of the following is not a condition of the binomial distribution ?

A. Only 2 possible outcomes
B. Have constant probability
C. Must have at least 3 trials
D. Trials must be independent
Answer» D. Trials must be independent
4.

Which of the following case is true for hyper geometric distribution________________?

A. Probability remains constant for all the trials.
B. Probability changes from trial to trial
C. Successive trial are dependent
D. Both (b) & (c) but not (a)
Answer» E.
5.

When X denotes the number of success in binomial experiment, it is called ________________?

A. Random variable
B. Binomial random variable
C. Continuous random variable
D. Both (b) and (c) but not (a)
Answer» C. Continuous random variable
6.

When ‘n’ becomes very large, binomial distribution tends to ______________?

A. Poisson dist
B. Standard dist
C. Normal dist
D. Hyper-geometric distribution
Answer» D. Hyper-geometric distribution
7.

What is the variance of binomial distribution __________________?

A. n p
B. np (1 – p)
C. np/q
D. nq/p
Answer» C. np/q
8.

What is the mean of binomial distribution ____________?

A. X
B. n x p
C. n(1 – 1)
D. ∑fx/∑f
Answer» C. n(1 – 1)
9.

Variance of binomial distribution is always:______________?

A. Less than mean
B. Greater than mean
C. Equal to mean
D. Less than equal to mean
Answer» B. Greater than mean
10.

There are ____________ parameter in Binomial distribution?

A. n, q
B. n, p, q
C. q, p
D. n, p
Answer» E.
11.

The variance of binomial distribution is always:________________?

A. Less than mean
B. Equal to mean
C. Greater than mean
D. Equal to standard deviation
E. None of these
Answer» B. Equal to mean
12.

The sum of p and q is always:___________________?

A. 0
B. 2
C. 1
D. None of these
Answer» D. None of these
13.

The successive trials are with replacement in:________________?

A. Hpergeometric distribution
B. Binomial distribution
C. Geometric distribution
D. None of these
Answer» C. Geometric distribution
14.

The probability of success changes from trial to trial in:___________________?

A. Binomial distribution
B. Geometric distribution
C. Sampling distribution
D. Hypergeometrical distribution
Answer» E.
15.

The mean of hypergeometric distribution is:___________________?

A. Nk/N
B. N-k/n
C. nN/k
D. n+k/N
Answer» B. N-k/n
16.

The mean of binomial distribution is:__________________?

A. npq
B. np
C. √npq
D. √np
E. nq—√
Answer» C. √npq
17.

The mean of a binomial distribution is always:____________________?

A. Equal to variance
B. Less than variance
C. Greater than varince
D. None of these
Answer» D. None of these
18.

The mean, median and mode for binomial distribution will be equal when:______________?

A. p= 0.5
B. P 0.5
C. p = 1
D. None of these
Answer» B. P 0.5
19.

The mean and variance of binomial distribution are ______________?

A. Unequal
B. Equal
C. Symmetrical
D. None
Answer» C. Symmetrical
20.

The mean and the variance are equal in________________?

A. All probability distribution
B. The hypergeometric distribution
C. The binomial distribution
D. The Poisson distribution
Answer» E.
21.

The hypergeometric probability distribution is used rather than the binomial or Poisson when the sampling is performed ?

A. With replacement
B. With out replacement from an infinite population
C. With out replacement from a finite population
D. With replacement from a finite population
Answer» D. With replacement from a finite population
22.

The experiment is repeated a _____________ number of times?

A. Times
B. Fixed
C. Expansion
D. Trial
Answer» C. Expansion
23.

The binomial distribution is positively skewed when:________________?

A. p > q
B. p < q
C. p = q
D. both (a) and (b
Answer» C. p = q
24.

The binomial distribution is symmetrical when:______________?

A. P > q
B. P = 1/2
C. Probability of success & probability of failure are equal
D. Both (b) & (c) but not (a)
Answer» E.
25.

(q + p) has variance is ______________?

A. 6 pq
B. npq
C. 7 pq
D. 3 pq
Answer» D. 3 pq
26.

Mean of the binomial distribution is ______________?

A. Pq
B. nP
C. xm
D. Non of these
Answer» C. xm
27.

In which distribution successive trials are without replacement:____________________?

A. Hypergeometric distribution
B. Binomial distribution
C. Poisson distribution
D. Geometric distribution
Answer» B. Binomial distribution
28.

In the binomial experiment, the outcomes of each trial maybe classified into ______________?

A. Success
B. Failure
C. Success or Failure
D. None of these
Answer» D. None of these
29.

In hypergeometric distribution, the trial are:_______________?

A. Independent
B. Dependent
C. Collectively Exhaustive
D. None
Answer» C. Collectively Exhaustive
30.

In binomial experiment, the successive trials are _____________?

A. Dependent
B. independent
C. Related
D. constant
Answer» C. Related
31.

In binomial experiment, the probability of success is denoted by __________________?

A. P
B. q
C. 1 - q
D. 1 -P
Answer» B. q
32.

In binomial experiment successive trials are ______________?

A. Dependent
B. Independent
C. May be inependent or dependent
D. None of these
Answer» C. May be inependent or dependent
33.

In binomial experiment, the experiment is repeated ______________?

A. n; fixed number of times
B. a large number times
C. n; where n < 0
D. n = 100
Answer» B. a large number times
34.

In binomial distribution with ________ trials mean is np and variance is npq?

A. Dependent
B. Independent
C. Linear
D. Equal
Answer» C. Linear
35.

In binomial distribution n=6 and p=0.9, then the value of______________?

A. P(X=7) is
B. One
C. Less than zero
D. Zero
E. More than zero
Answer» D. Zero
36.

In binomial distribution the probability of success remains __________ from trial to trial?

A. Constant
B. Varies
C. Four
D. Probability
Answer» B. Varies
37.

In a binomial probability distribution it is impossible to find______________?

A. P(X < 0)
B. P(X = 0)
C. P(X > 0)
D. p(0 ≤ X≤ n)
Answer» B. P(X = 0)
38.

In a binomial distribution the probability of ___________ changes from trial to trial?

A. Failure
B. Experiment
C. Success
D. Out come
Answer» D. Out come
39.

In a binomial distribution, n = 10 p= 3/5, its mean is:_________________?

A. 6
B. 1
C. 2/5
D. None of these
Answer» B. 1
40.

In a binomial distribution mean and variance is _________________?

A. Variance > mean
B. Mean < variance
C. Variance ≠ mean
D. None of these
Answer» C. Variance ≠ mean
41.

In a binomial distribution, n = 20 and p = 3/5, then variance of this distribution ______________?

A. 60
B. 12
C. 4.8
D. 0
Answer» D. 0
42.

In a binomial distribution mean and variance is ________________?

A. Variance > mean
B. Mean < variance
C. Variance ≠ mean
D. None of these
Answer» C. Variance ≠ mean
43.

If u = 5 and S.D. = 2.5 then Binomial distribution are ________________?

A. Unequal
B. Wrong
C. Fair
D. None of these
Answer» C. Fair
44.

If _________ then the distribution is positively skewed?

A. p < q
B. q/p
C. p > q
D. p > 1/2
Answer» B. q/p
45.

If p= 0.1 and n = 400 then mean _______________?

A. 60
B. 30
C. 20
D. 40
Answer» E.
46.

If mean of the binomial probability distribution is 4.8, then variance of this distribution is :_______________?

A. -2.3
B. 5.3
C. -4.8
D. 2.3
Answer» E.
47.

If mean and variance are not equal then distribution ________________?

A. None
B. Symmetrical
C. Skewed
D. Equal
Answer» D. Equal
48.

If in binomial distribution p ≠ q, the distribution is:___________________?

A. Positively skewed
B. Negative skewed
C. May be positive skewed or negative skewed.
D. None of these
Answer» D. None of these
49.

if in a binomial probability distribution mean and variance are 6 and 2.4 respectively, then the parameters of this distribution are:____________________?

A. n = 10, p = 6/10
B. n = 50, p = 6/50
C. n = 10, p = 3/5
D. n = 10, p = 2/5
Answer» D. n = 10, p = 2/5
50.

If in a binomial distribution n = 1 then E(X) is:____________________?

A. q
B. p
C. 0
D. 1
Answer» C. 0