Question # 1 of 10 ( Start time: 09:56:49 PM ) Total Marks: 1
Random experiment can be repeated any no. of times under the……… conditions.
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Different
Similar
Question # 2 of 10 ( Start time: 09:58:09 PM ) Total Marks: 1
What is the probability of sure event?
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0
1
0.5
2
Question # 3 of 10 ( Start time: 09:58:41 PM ) Total Marks: 1
The simultaneous occurrence of two events is called:
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Joint probability
Subjective probability
Prior probability
Conditional probability
Question # 4 of 10 ( Start time: 09:59:47 PM ) Total Marks: 1
In regression analysis, the variable that is being predicted is the
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Dependent variable
Independent variable
Intervening variable
None of these
Question # 1 of 10 ( Start time: 09:43:04 PM ) Total Marks: 1
If two events A and B are not mutually exclusive then
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P (A or B) = P (A) + P (B) – P (A and B)
P (A or B) = P (A) + P (B)
P (A or B) = P (A) x P (B)
P (A or B) = P (A) + P (B)
Question # 2 of 10 ( Start time: 09:43:59 PM ) Total Marks: 1
Evaluate (10-4)!
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1000
720
480
32
Question # 3 of 10 ( Start time: 09:45:01 PM ) Total Marks: 1
When E is an impossible event, then P(E) is:
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0
1
2
0.5
Question # 4 of 10 ( Start time: 09:46:20 PM ) Total Marks: 1
When we toss a coin , we get only:
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1 outcome
2 outcome
3 outcome
4 outcome
Question # 5 of 10 ( Start time: 09:47:15 PM ) Total Marks: 1
For exhaustive events, the P(AUBUC) is equal to:
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P(A)
P(S)
P(A) * P(B)* P(C)
P(B)
Question # 6 of 10 ( Start time: 09:48:21 PM ) Total Marks: 1
A student solved 25 questions from first 50 questions of a book to be solved. The probability that he will solve the remaining all questions is:
Select correct option:
0.25
0.5
1
0
A set of possible values that a random variable can assume and their associated probabilities of occurrence are referred to as ________.
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Probability distribution
The expected return
The standard deviation
Coefficient of variation
Question # 9 of 10 ( Start time: 09:50:35 PM ) Total Marks: 1
If we roll a die then probability of getting a ‘6’ will be
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2/6
1/6
4/6
1
Question # 10 of 10 ( Start time: 09:51:36 PM ) Total Marks: 1
If P(A) = 0.45, P(B) = 0.35, and P(A and B) = 0.25, then P(A | B) is:
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1.4
1.8
0.714
0.556
Which of the following measures of dispersion are based on deviations from the mean?
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Variance
Standard deviation
Mean deviation
All of the these
What does it mean when a data set has a standard deviation equal to zero?
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All values of the data appear with the same frequency.
The mean of the data is also zero.
All of the data have the same value.
There are no data to begin with.
A set of possible values that a random variable can assume and their associated probabilities of occurrence are referred to as ________.
Select correct option:
Probability distribution
The expected return
The standard deviation
Coefficient of variation
Which of the following can never be probability of an event?
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0
1
0.5
-0.5
The standard deviation of -1, -1, -1, -1 will be
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1
-1
0
Does not exist
Which formula represents the probability of the complement of event A:
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1 + P (A)
1 – P (A)
P (A)
P (A) -1
The Special Rule of Addition is used to combine:
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Independent Events
Mutually Exclusive Events
Events that total more than 1.00
Events based on subjective probabilities
set which is the sub-set of every set is
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Empty Set
Power Set
Universal Set
Super Set
E(4X + 5) =________
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12 E (X)
4 E (X) + 5
16 E (X) + 5
16 E (X)
When two dice are rolled the number of possible sample points is :
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6
12
24
36
Question # 1 of 10 ( Start time: 08:57:45 PM ) Total Marks: 1
When a coin is tossed 3 times, the probability of getting 3 tails is
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1/8
3/8
3/6
2/8
Question # 2 of 10 ( Start time: 08:59:14 PM ) Total Marks: 1
In how many ways can a team of 11 players be chosen from a total of 16 players?
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4368(not confirmed)
2426
5400
2680
Question # 3 of 10 ( Start time: 09:00:38 PM ) Total Marks: 1
The standard deviation of c (constant) is
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c
c square
0
does not exist
Question # 4 of 10 ( Start time: 09:01:46 PM ) Total Marks: 1
If P (E) is the probability that an event will occur, which of the following must be false:
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P(E)= – 1
P(E)=1
P(E)=1/2
P(E)=1/3
Question # 5 of 10 ( Start time: 09:02:48 PM ) Total Marks: 1
Let E and F be events associated with the same experiment. Suppose the E and F are independent and that P(E) = 1/4 and P(F) = 1/2 Then P(E U F) is:
Select correct option:
1/8
3/4
7/8
5/8
Question # 6 of 10 ( Start time: 09:04:09 PM ) Total Marks: 1
A student solved 25 questions from first 50 questions of a book to be solved. The probability that he will solve the remaining all questions is:
Select correct option:
0.25
0.5
1
0
Question # 7 of 10 ( Start time: 09:05:31 PM ) Total Marks: 1
If Y=bX, then variance of Y is
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b*2 var(x)
var(x)
b var(x)
b square root var(x)
Question # 9 of 10 ( Start time: 09:07:48 PM ) Total Marks: 1
The classical definition of probability assumes:
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Exhaustive events
Mutually exclusive events
Equally likely evens
Independent evens
Question # 10 of 10 ( Start time: 09:08:50 PM ) Total Marks: 1
In scatter diagram, the variable plotted along Y-axis is:
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Independent variable
Dependent variable
Continuous variable
Discrete variable
1. Question # 1 of 10 ( Start time: 08:23:14 PM ) Total Marks: 1
If Y=bX, then variance of Y is
Select correct option:
b*2 var(x)
var(x)
b var(x)
b square root var(x)
2. Question # 2 of 10 ( Start time: 08:24:38 PM ) Total Marks: 1
If f(x) is a continuous probability function, then P(X = 2) is:
Select correct option:
1
0
1/2
2
Question # 3 of 10 ( Start time: 08:25:52 PM ) Total Marks: 1
In regression line Y=a+bX, Y is called:
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Dependent variable
Independent variable
Explanatory variable
Regressor
Question # 4 of 10 ( Start time: 08:26:51 PM ) Total Marks: 1
If A and B are mutually exclusive events with P (A) =0.25 and P (B) = 0.50, Then P (A or B) =………
Select correct option:
0.25
0.75
0.50
1
Question # 5 of 10 ( Start time: 08:28:06 PM ) Total Marks: 1
Symbolically, a conditional probability is:
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P(AB)
P(A/B)
P(A)
P(AUB)
Question # 6 of 10 ( Start time: 08:28:42 PM ) Total Marks: 1
In a 52 well shuffled pack of 52 playing cards, the probability of drawing any one diamond card is
Select correct option:
1/52
4/52
13/52
52/52
Question # 7 of 10 ( Start time: 08:30:13 PM ) Total Marks: 1
Probability of a sure event is
Select correct option:
8
1
0
0.5
Question # 8 of 10 ( Start time: 08:31:42 PM ) Total Marks: 1
If Y=3X+5,then S.D of Y is equal to
Select correct option:
9 s.d(x)
3 s.d(x)
s.d(x)+5
3s.d(x)+5
Question # 9 of 10 ( Start time: 08:33:16 PM ) Total Marks: 1
The probability of drawing a red queen card from well-shuffled pack of 52 playing cards is
Select correct option:
4/52
2/52
13/52
26/52
Question # 10 of 10 ( Start time: 08:34:40 PM ) Total Marks: 1
If P (B|A) = 0.25 and P (A and B) =0.20, then P (A) is
Select correct option:
0.05
0.80
0.95
0.75
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