1 |
test2 |
3
4
2
|
2 |
Mean of hypergeometric distribution is |
mN/k
nK/N
k/nN
Nk/n
|
3 |
For positively skewed binomial distribution |
P = 0
P < 0.5
P > 0.5
P = 0.5
|
4 |
A fair coin is tossed four times the probability of getting four heads is |
1/4
1/2
1/16
1
|
5 |
In which distribution the successive trials are with replacement |
Hypergeometric
Binomial distribution
Continuous distribution
Discrete distribution
|
6 |
The hypergeometric distribution is used when trials are |
Dependent
Independent
Equally likely
Mutually exclusive
|
7 |
The hypergeometric experiment has propeties |
One
Three
Four
Five
|
8 |
The hypergeometric distribution has parameters |
Two
Three
Four
Five
|
9 |
In binomial each trial has |
One outcome
Two outcomes
Three outcomes
Four outcomes
|
10 |
In a binomial distribution |
<span style="color: rgb(34, 34, 34); font-family: arial, sans-serif; font-size: 16px;">μ =</span><span style="color: rgb(34, 34, 34); font-family: arial, sans-serif; font-size: 16px;">σ²</span>
<span style="color: rgb(34, 34, 34); font-family: arial, sans-serif; font-size: 16px;">μ <</span><span style="color: rgb(34, 34, 34); font-family: arial, sans-serif; font-size: 16px;">σ²</span>
<span style="font-family: arial, sans-serif; font-size: 16px; color: rgb(34, 34, 34);">μ ></span><span style="font-family: arial, sans-serif; font-size: 16px; color: rgb(34, 34, 34);">σ²</span>
<span style="font-family: arial, sans-serif; font-size: 16px; color: rgb(34, 34, 34);">μ = 1</span><span style="font-family: arial, sans-serif; font-size: 16px; color: rgb(34, 34, 34);">σ²</span>
|
11 |
In binomial distribution it is impossible to find |
P(x L)
P(x=0)
P(x > 0)
P(0<span style="color: rgb(34, 34, 34); font-family: arial, sans-serif; font-size: small;">≤ x</span><span style="color: rgb(34, 34, 34); font-family: arial, sans-serif; font-size: small;">≤</span><span style="color: rgb(34, 34, 34); font-family: arial, sans-serif; font-size: 16px;">∞)</span>
|
12 |
The binomial distribution is negatively skewed if |
P< 1/2
P = 1/2
P > 1/2
P = 1
|
13 |
A binomial random variable can assume the values |
1,2......n
0,1,2......00
0,1,2......n
2,4,6,8,10
|
14 |
The variance of binomial distribution is |
np
nq
npq
pq
|
15 |
In binomial distribution trails are |
Independent
Dependent
Both
Discrete
|
16 |
The parameters of binomial distribution one |
p and q
q and n
n and p
n,p,q
|
17 |
Binomial distribution has parameter |
One
Two
Three
Four
|