A. None of these

B. Close another

C. Mixed

A. A sample

C. A population

D. A population parameter

A. Simple random sampling

B. Quota sampling

C. Systematic sampling

A. Group

C. Correction

D. Un-finite

A. Cluster

B. Random Sampling

D. Random digit

A. Exactly

B. Approximately normal because the sample size is small relative to the population size

D. Approximately normal because of the central limit theorem

A. Stratified sampling

B. Probabilistic sampling

C. Cluster sampling

A. Stratified

C. Systematic

D. Cluster

A. 4

B. 8

C. 32

B. Overlapped

C. Not equal

D. Same

A. Dispersion

C. Difference

D. Serious error

A. p > q

B. np > npq

C. p > q

A. Greater than mean

C. Less than equal to mean

D. Equal to mean

A. N-k/n

C. nN/k

D. n+k/N

A. 1

B. 0

D. q

A. Four

C. Varies

D. Probability

B. Geometric distribution

C. Poisson distribution

D. Binomial distribution

B. With replacement

C. With replacement from a finite population

D. With out replacement from an infinite population

A. Random variable

C. Continuous random variable

D. Both (b) and (c) but not (a)

A. {nx}px(1 P)x-n

B. nCxpnqnx

D. {nx}p(1 P)x

A. p must be a multiple of 10

C. There must be at least 3 possible outcomes

D. n must assume a number between 1 and 20 or 25

A. 5.3

B. -2.3

C. -4.8

A. n is fixed

B. Has two outcomes

C. Trials are independent

A. May be inependent or dependent

B. Dependent

D. None of these

A. p > q

B. P/q

C. P = q

B. 1

C. 2q

D. 1/q

A. N.{n/x}px qn-x

B. N p q

D. N.{n/x}p qn-x

A. Small

B. Normal

D. Zero

B. Variance > mean

C. None of these

D. Variance ? mean

B. Pq

C. xm

D. Non of these

B. 3

C. 6

D. 2

B. 20

C. 30

D. 60

B. One Outcome

C. Three Outcome

D. Four Outcome

B. Positively skewed

C. Negative skewed

D. None of these

B. 0 to ?

C. 1 to ?

D. 1 to n

B. None of these

C. Geometric distribution

D. Hpergeometric distribution

B. Linear

C. Equal

D. Dependent

A. None of these

B. 1

C. 5-Feb

A. Expansion

B. Trial

D. Times

A. Independent

B. Collectively Exhaustive

D. None

A. X

B. n(1 1)

D. ?fx/?f

B. Become more negatively skewed

C. Become symmetrical

D. All of the above.

B. Non

C. Mutually exclusive

D. Equally Likely

E. Dependent

A. Standard dist

B. Poisson dist

C. Hyper-geometric distribution

A. np/q

B. nq/p

D. n p

A. p > q

C. p = q

D. both (a) and (b

A. Success

B. Failure

C. None of these

B. p(0 ? X? n)

C. P(X > 0)

D. P(X = 0)

B. Three

C. Four

D. None

E. One

B. p > 1/2

C. p > q

D. q/p