STA301 Final Term Solved MCQs Set 4 by Junaid

Q1. The marginal p.d.f of any continuous variable of obtained by

1. Averaging
2. Integrating
3. Multiplying
4. Dividing

Q2. in a normal distribution how area lies between

1. 65%
2. 68.26%
3. 75%
4. 80%

Q3. A correlation coeffient

1. Tells you the direction of the slope of the scttergram
2. Is a sort of index how of close the point of a scatter gram deviated from straight line through those points.
3. Efficiently summaries some of the in scatterplot.
4. All of these

Q4. The values of moment ratios b1 and b2 of normal distribution are:

1. 0 and 1
2. 0 and 2
3. O and3
4. 0 and 4

Q5. Which of the following is not a property of a binomial experiment?

1. The experiment consists of a sequence of an identical trials
2. Each outcome can be referred to as a success or a failure
3. The probabilities of the two outcomes can change from one trial to the next.
4. All of the above

Q6. we can obtain the individual probabilities of X and Y from the joint probability function / distribution of (x, y) such individual probabilities are kown as

1. Marginal probabilities
2. Bivariate probabilities
3. Separate probabilities
4. Independent probabilities

Q7. Assume a large distribution in which 6 = 6. What is the standard error of the the mean based for which n = 10?

1. 167
2. 15
3. 3
4. 1.9
5. In a bivariate probability distribution of X and Y,

If f(1, 1)= 4/15, g (1) =2/3 , h(1)=2/5

Then

a. X and Y are statistically independent b. X and y are not statistically independent c. Both of these d. None of these

Q9. In hyper geometric distribution events can be classified in to

1. A single category
2. 2 categories
3. 3 categories
4. 4 categories

10.

In binomial distribution, formula of calculating mean is:

a.  = p + q b.  = np c.  = p q d.  =q n 11. Poisson distribution can be used to approximate the hyper geo metric distribution when , n<0.05, n>20 and a. P>0.05 b. P<0.05 c. P>0.10 d. P<0.10 12. the hypergeomertric probability distribution has parameters. a. N, n b. N, P, n c. N, n, k d. N, Nk, n 13. A random experiment is one is a one in which we repeat it a large number of times under similar condition an it produces. a. Same result b. Different result c. Independent result d. None of the above 14. Given below is the probability distribution of a random variable X, what is the value of “K”

X

P(x)

a. 0.02 b. 0.1 c. 0.20 d. 0.002

0.5 · 0.2 · 0.07 · k · 0.03

15.

Poisson distribution is never:

a. Symmetrical b. Positively skewed c. Negatively skewed d. Asymmetrical 16.

if X and Y are independent, then Cov (X, y) is equal to:

a. 0 b. 1 c. 0 and 1 d. None 17. if E(x) = 3 then E (4X + 3)=…………….. a. 15 b. 12 c. 8 d. 3 18.

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

1. A constant probability of success
2. Only two possible outcomes