1 |
The provability can never be, |
0
1
1/52
Negative
|
2 |
The conditional probability P(A/B) is given by. |
(A∩B)/(B)
P(A∩B)/P(A)
P(A∩B)/P(B)
(A∩B)/P(B)
|
3 |
P(A or B) = P (A∪B) = P(A) +P(B) then A and B are. |
Mutually exclusive
Independent events
Not mutually exclusive
Dependent
|
4 |
When each outcome of a sample is as equally likely to occur as any other, the out come are called. |
Mutually exclusive
Equally likely
Exhaustive
Not mutually
|
5 |
The probability of drawing a "white" ball from a bag containing 4 red, 8 black and 3 with balls is: |
0
3/15
1/15
2/15
|
6 |
The probability of a 'Jack' Card form 52 playing card is: |
1/52
4/52
13/52
26/52
|
7 |
If a player well shuffles the pack of 52 playing card, then the probability of a black card form 52 playing cards is: |
1/52
13/52
26/52
4/52
|
8 |
The probability of vowel letters form the words STATISTIC is. |
2/10
3/10
0
4/10
|
9 |
A coin is tossed 3 times then, then number of sample points in the sample space is: |
2<sup>3</sup>
3
8
Both A & C
|
10 |
The probability of sure event is: |
0
0.5
1
Negative
|
11 |
If E a and impossible event, then P(E) is. |
0
0.5
1
Impossible
|
12 |
A fair aid is rolled, the sample space consists of: |
2 outcomes
6 outcomes
36 outcomes
None of these
|
13 |
When sample space S is partitioned into some mutually exclusive events such that their union is sample space itself. Then the events are called |
Simple events
Compound events
Equally likely events
Exhaustive events
|
14 |
Probability of an event cannot be |
Negative
Positive
Zero
One
|
15 |
A set containing only one element is called |
Null set
Universal set
Subset
Singleton set
|
16 |
If an event consist of more than one sample point it is called |
Simple event
Compound event
Exhaustive event
Likely event
|
17 |
If two events cannot occur together they are said to be |
Independent events
Dependent events
Mutually exclusive events
Equally likely events
|