STA301Statistics and Probability Quiz MCQS #Objective #Questions #Finalterm
1. Which of the following is the property of hypergeometric experiment?
 p remains constant from trial to trial
 successive trials are independent
 sampling is performed without replacement
 n is not fixed
2. If the firstmoment ratio is less than 0, then the distribution will be:
 positively skewed
 symmetrical
 negatively skewed
 None
3. Poisson distribution can be used to approximate the hypergeometric distribution when:
 p>0.05
 p<0.05
 p>0.10
 p<0.10
4. ___ is used when we are dealing with proportions to find the probabilities:
 Normal distribution
 tdistribution
 Both Z & t distribution
 F distribution
5. Total no. of possible samples of size 3 (with replacement) from the population of size 6, will be:
 256
 196
 216
 325
6. In sampling from a large population with sigma=20, the standard error of the mean is found to be 2. The size of the sample used is:
 100
 40
 10
 20
7. In sampling from a large population with σ=60. The size of the sample used is 100, the value of the standard error will be:
 4
 42
 15
 6
8. The number of parameters in a normal distribution is(are):
 1
 2
 3
 4
9. In hypergeometric distribution probability of success always:
 is constant from trial to trial
 varies from trial to trial
 sometimes varies and sometimes is constant
 None
10. In hypergeometric distribution; experiment can be repeated a
 fixed number of times
 variable number of times
 depends upon the situation
 None
11. In a binomial experiment, the probability of success changes on

Each trial

Second trial

10th trial

30th trial
12. The range of the binomial distribution is:

0, 1, 2, … , 100

0, 1, 2, …, n

0, 1, 2, …, x

1, 2, …, n
13. The number of typing errors per page in a book follows.

Normal Distribution

Poisson process

Binomial distribution

Hypergeometric distribution
14. The central limit theorem states that the mean of the sampling distribution of the means is equal to the population
 Standard deviation
 Standard error
 Random error
 Mean