1 |
F(-∞) is always equal to |
Zero
One
Two
Negative one
|
2 |
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
|
3 |
Probability of an event cannot be |
Negative
Positive
Zero
One
|
4 |
A set containing only one element is called |
Null set
Universal set
Subset
Singleton set
|
5 |
If an event consist of more than one sample point it is called |
Simple event
Compound event
Exhaustive event
Likely event
|
6 |
If two events cannot occur together they are said to be |
Independent events
Dependent events
Mutually exclusive events
Equally likely events
|
7 |
If the chance of occurance of two events are same then such events are called |
Independent events
Dependent events
Mutually exclusive events
Equally likely events
|
8 |
If the occurance of one event is not effected by the occurance of other than these events are called |
Dependent
Independent
Simple
Compound events
|
9 |
Subset of sample space is called |
Event
Simple event
Compound event
Experiment
|
10 |
An experiment which produced different outcomes even if it is repeated a large number of times, under similar conditions is called |
Event
Compound event
Random experiment
None of these
|
11 |
A set representing all possible out comes of a random experiment is called |
Sample space
Universal set
Simple event
Random experiment
|
12 |
Two events A and B are mutually exclusive if P(A∪B) = |
P(A) - P(B)
P(A) + P(B)
P(A)P(B) - P(A<span style="color: rgb(0, 0, 0); font-family: 'Lucida Sans Unicode', 'Lucida Grande', sans-serif; font-size: 18px; line-height: 23.390625px;">∪</span>B)
P(A) + P(B) - P(A<span style="color: rgb(0, 0, 0); font-family: 'Lucida Sans Unicode', 'Lucida Grande', sans-serif; font-size: 18px; line-height: 23.390625px;">∪</span>B)
|
13 |
nCr is calculated by formula |
|
14 |
nPr can be solved by the formula |
|
15 |
P (A/B) can be evaluated by formula |
<span style="color: rgb(0, 0, 0); font-family: 'Lucida Sans Unicode', 'Lucida Grande', sans-serif; font-size: 18px; line-height: 23.390625px;">P(A∩B)/P(B)</span>
<span style="color: rgb(0, 0, 0); font-family: 'Lucida Sans Unicode', 'Lucida Grande', sans-serif; font-size: 18px; line-height: 23.390625px;">P(A∪B). P(B)</span>
<span style="color: rgb(0, 0, 0); font-family: 'Lucida Sans Unicode', 'Lucida Grande', sans-serif; font-size: 18px; line-height: 23.390625px;">(A∪B)/P(B)</span>
<span style="color: rgb(0, 0, 0); font-family: 'Lucida Sans Unicode', 'Lucida Grande', sans-serif; font-size: 18px; line-height: 23.390625px;">P(A∩B)/P(A)</span>
|
16 |
A non-orderly arrangement of things is called |
Combination
Permutation
Collection
Sample Space
|
17 |
Probability of an impossible event is |
Zero
Negative
Positive
One
|