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This online test contains MCQs about following topics:
Introduction to random variables . Random numbers and their generation . Application of random number . Concept of random variable and their construction from different fields . Discreate and continuous random variables
MCQ's Test For Chapter 7 "Statistics Ics Part 1 Chapter 7 Online Test"
Try The MCQ's Test For Chapter 7 "Statistics Ics Part 1 Chapter 7 Online Test"
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Total Questions17
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Time Allowed20
Statistics Ics Part 1 Chapter 7 Online Test
00:00
Question # 1
Which one is not an example of random experiments.
Question # 2
If a Vann diagram is drawn for events A and B which are mutually exclusive, which f the folloiwng would always be true of A and B.
Question # 3
E(y-μ) is equal to
Question # 4
The simplest form of the continuous distribution is the.
Question # 5
The sum of probabilities of events of a sample space is always.
Question # 6
The simplest form of the continues distribution is the
Question # 7
The probability of a continuous random variable at x = a is ---------------
Question # 8
F(-∞) is always equal to.
Question # 9
For two independent random variables, Var(x) = 14 and Var(Y ) = 5, then var (X-y) is equal to.
Question # 10
Probability distribution of a continuous random variable can be presented by
Question # 11
The probability of an event connot be.
Question # 12
If x is a random variable with E(x) = 5 then E (3x - 2) =
Question # 13
F(y1) ≤ F(y2) if
Question # 14
When a die and a coin are rolled together all possible outcomes are.
Question # 15
a measure of the chance that an uncertain event will occur.
Question # 16
A probability function is _________ function.
Question # 17
Var (3x + 2)
ICS Part 1 Statistics Chapter 7 MCQs Test
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ICS Part 1 Statistics Chapter 7 Important MCQ's
| Sr.# | Question | Answer |
|---|---|---|
| 1 | Probability distribution of a continuous random variable can be presented by |
A. tabular form
B. Formula
C. Curve
D. None of these
|
| 2 | The probability of getting an odd number when a balanced die is rolled is. |
A. 1/2
B. 1/3
C. 1/4
D. 1/6
|
| 3 | The probability of an event connot be. |
A. = 0
B. > 0
C. =1
D. < 0
|
| 4 | E(y-μ) is equal to |
A. E(y)
B. μ
C. zero
D. y-μ
|
| 5 | F (+∞) is always equal to: |
A. 0
B. Two
C. One
D. None of these
|
| 6 | For two independent random variables, Var(x) = 14 and Var(Y ) = 5, then var (X-y) is equal to. |
A. 9
B. 70
C. 19
D. None of these
|
| 7 | Variance σ2 is equal to E(y2) - -------------------- |
A. E(y)
B. [E(y)]2
C. E(y)2
D. E2 (y)
|
| 8 | The probability of a continuous random variable at x = a is --------------- |
A. One
B. Zero
C. Between 0 and 1
D. More than one
|
| 9 | Var (3x+2) |
A. 3Var(x) + 2
B. 9Var(x) +2
C. Var (x) + 0
D. 3Var (X)
|
| 10 | The probability of drawing two acea from apack of 52 cards with replacement is. |
A. 1/169
B. 1/10
C. 1/4
D. 1/256
|
Test Questions
