1 |
In binomial distribution, the random variable has a range: |
0,1,2...................n
0,1,2,......+∞
-∞ to +∞
∞ to +0
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2 |
In binomial experiment successive trials are: |
Dependent
Independent
May be independent or dependent
None of these
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3 |
Var (B/aX) =? |
1/aVar(X)
b<sup>2</sup>/a<sup>2</sup> Var(X)
b<sup>2</sup>/a Var(X)
None of these
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4 |
F (+∞) is always equal to: |
0
Two
One
None of these
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5 |
Hourly temperature recorded by weather brave is the example of: |
Discrete variable
Continuous variable
Qualitative
Both A and B
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6 |
For two independent random variables, Var(x) = 14 and Var(Y ) = 5, then var (X-y) is equal to. |
9
70
19
None of these
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7 |
E(Y2) -[E(y)]2 is the formula, and to compute. |
Variance of the random variable
Mean of the random variable
Both A and B
None of these
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8 |
If y =-7x then E(y) = ............... |
E(x)
-7X
-7E(X)
Zero
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9 |
The properties of discrete probability distribution are: |
Σp (x) = 1 and Σx. (x) = 1
ΣP (x)= 1 and Σx. P
ΣP(x) = 1 and 0 < P(x) ≤ 1
All of these above
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10 |
The Area of trapezoid is equal to: |
sum of paralled sides x base
sum of paralled sides x base/2
2 x base x sum of paralled side
Sum of paralled sides x base/4
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11 |
Coefficient of variation (C.V) is given below |
Mean /S.D x10
Mean/S.D x 100
S.D/Mean x 100
S.D/ Mean
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12 |
For discrete random variable 'X' the expectation of X I-e E(x) is equal to: |
Σp(x)
Σxp(x)
Σx<sup>2</sup>p(x)
One
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13 |
Var (KY) = ...................... |
KY
K<sup>2</sup> Var(Y)
K<sup>2</sup>Var (Y)
None of these
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14 |
E(X ± Y) =.............. |
E(X) + E(Y)
E(X) - E (Y)
E(x) ± E (Y)
None of these
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15 |
A random variable is also called. |
Chance variable
Stochastic variable
Discrete variable
Both A and B
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16 |
Which of the following is suitable for discrete probability distribution. |
Frequency polygon
Probability
Ogive
Histogram
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17 |
The sum of probabilities of events of a sample space is always. |
Equal
Discrete
Continuous
Always greater then oen
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