STA301 Final Term Solved MCQs Lectures 23-45 Set 2 by Junaid

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

•  Averaging
•  Integrating
•  Multiplying
•  Dividing

Q2. in a normal distribution how area lies between   

•  65%
•  68.26%
•  75%
•  80%

Q3. A correlation coeffient

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

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

•  0 and 1
•  0 and 2
•  O and3
•  0 and 4

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

•  The experiment consists of a sequence of an identical trials
•  The probabilities of the two outcomes can change from one trial to the next.

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

•  Marginal probabilities
•  Bivariate probabilities
•  Separate probabilities
•  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?

•  167
•  15
•  3
•  1.9

Q8. In a bivariate probability distribution of X and Y,

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

•  X and Y are statistically independent
•  X and y are not statistically independent
•  Both of these
•  None of these

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

•  A single category
•  2 categories
•  3 categories
•  4 categories

Q10. In binomial distribution, formula of calculating mean is:

•  = p + q
•  = np
•  = p q
•  =q n

Q11. which of the following is not a property of binomial experiment?

•  The experiment consists of a sequence of n identical trials
•  The probabilities of the outcomes can can change from on trial to the next

Q12. Poisson distribution can be used to approximate the hyper geo metric distribution when , n<0.05, n>20 and

•  P>0.05
•  P<0.05
•  P>0.10
•  P<0.10

Q13. the hypergeomertric probability distribution has parameters.

•  N, n
•  N, P, n
•  N, n, k
•  N, N- k, n

Q14. A random experiment is one is a one in which we repeat it a large number of times under similar condition an it produces.

•  Same result
•  Different result
•  Independent result