1 |
Which of the following is suitable for discrete probability distribution. |
Frequency polygon
Probability
Ogive
Histogram
|
2 |
The sum of probabilities of events of a sample space is always. |
Equal
Discrete
Continuous
Always greater then oen
|
3 |
A probability function is _________ function. |
Mathematical
Mathematical expectation
Converges
None of these
|
4 |
If x is a random variable with E(x) = 5 then E (3x - 2) = |
0
1
13
15
|
5 |
The probability of continuous random variable at x = a is__________. |
One
Zero
Between
More then one
|
6 |
The simplest form of the continuous distribution is the. |
Skewed distribution
Kurtic distribution
Binomial distribution
Uniform distribution
|
7 |
For a constant K ,the variance of K. |
Zero
A<sup>-2</sup>
K
None of these
|
8 |
Which one is not an example of random experiments. |
A coin is tossed and the outcome is either a head or a tail
A six sided aid is rolled
All medical insurance clams received by a company in a given year.
Some one of person will be admitted to a hospital emergency room during any hour.
|
9 |
If the random variable x denotes the number of heads of when three distinct coins are tossed k the X assumes values. |
0,1,2,3
1,3,3,1
1,2,3
1,1,1,1
|
10 |
If x and y are independent random variables, E(xy) |
E(XY)
xE(y)
E(XY)
E(X) . E(Y)
|
11 |
E(x) = Σxf(x) if it ________ absolutely. |
Equal
Converges
Discrete
None of these
|
12 |
Random variable is also called ___________. |
Chance stochasitc
Coverges
Random
None of these
|
13 |
E(x - μ) is equal to: |
E(x)
zero
μ
X - μ
|
14 |
probability distribution of a continuous random variable can be presented by. |
Formula
Curve
Tabular form
None of these<div><br></div>
|
15 |
F(-∞) is always equal to. |
Zero
One
Two
Negative one
|
16 |
F(y1) ≤ F(y2) if |
y<sub>1</sub>= y<sub>2</sub>
Y<sub>1</sub>>y<sub>2</sub>
y<sub>1</sub>≤y<sub>2</sub>
y≥1/2
|
17 |
Variance of σ2 is equal E to (Y2) - _______? |
E (y)
[E(y)]<sup>2</sup>
E(y<sup>2</sup>)
None of these
|