# Lecturer Statistics Online Test 1 MCQs Sample Papers

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 Test Instructions:- Test Name Lecturer Statistics Subject Statistics Test 1 Test Type MCQs Total Questions 25 Total Time 20 Minutes Total Marks 100
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You have 20 minutes to pass to the quiz.

PPSC Lecturer of P Statistics Practice Test 1

1 / 25

The range of binomial distribution is:

2 / 25

The binomial distribution is negatively skewed if:

3 / 25

Ina binomial experiment, the successive trials are:

4 / 25

The variance of a binomial distribution depends on:

5 / 25

In a binomial probability distribution, the skewness is positive for:

6 / 25

Which of the following statements is false?

7 / 25

The two mutually exclusive outcomes in a Bernoulli trial are usually called:

8 / 25

In binomial distribution when n = 1, then it becomes:

9 / 25

In a binomial probability distribution, relation between mean and variance is:

10 / 25

The binomial probability distribution is symmetrical when:

11 / 25

If n = 6 and p= 0.9 then the value of P(x=7) is:

12 / 25

Bernoulli trial has:

13 / 25

The parameters of the binomial distribution are:

14 / 25

In a binomial probability distribution, coefficient of skewness = = 0, it means that the distribution is:

15 / 25

For a binomial distribution with n = 10, p = 0.5, the probability of zero or more successes is:

16 / 25

If a binomial probability distribution has parameters (n, p)= (5, 0.6), the probability of x = 3.5 is:

17 / 25

In a binomial probability distribution, the sum of probability of failure and probability of success is always:

18 / 25

In a binomial experiment n= 4, P(x=2) = 216/625 and P(x=3) = 216/625. P(x=-2) is:

19 / 25

In binomial distribution the numbers of trials are:

20 / 25

In a binomial experiment with three trials, the variable can take:

21 / 25

The mean of a binomial distribution depends on:

22 / 25

Which of the following is not property of a binomial experiment?

23 / 25

In a binomial distribution, the mean, median and mode coincide when:

24 / 25

The shape of the binomial probability distribution depends upon the values of its:

25 / 25

Nature of the binomial random variable X is: