STA301-Statistics 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 first-moment 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
- t-distribution
- 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