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CBSE Questions for Class 12 Commerce Applied Mathematics Probability Distribution And Its Mean And Variance Quiz 8 - MCQExams.com
CBSE
Class 12 Commerce Applied Mathematics
Probability Distribution And Its Mean And Variance
Quiz 8
Consider the following probability distribution :
X
i
1
3
5
6
P
i
0.1
0.2
0.4
0.3
Then
E
(
X
)
=
Report Question
0%
4.5
0%
5.5
0%
6.5
0%
7.5
P(x) is a polynomial satisfying P(x+3/2)=p(x) for all real values of x. If P(5)=2010, what is the value of P(8)
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0%
2008
0%
2009
0%
2010
0%
None of these
For the following probability distribution.
X
=
x
1
0
4
P
1
/
2
3
/
8
1
/
8
The value of
E
[
X
−
E
(
X
)
]
is?
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0%
1
0%
1
/
2
0%
0
0%
1
/
4
The following is the c.d.f. of a discrete r.v. X:
X
−
3
−
1
0
1
3
5
7
9
F
(
x
)
0.1
0.3
0.5
0.65
0.75
0.85
0.90
1
Find
P
(
X
=
−
3
/
X
<
0
)
.
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0%
0.3333
0%
0.35
0%
0.55
0%
0.25
Explanation
α
i
f
(
x
)
P
(
X
=
x
i
)
−
3
−
1
0
1
3
5
7
9
0.1
0.3
0.5
0.65
0.76
0.85
0.90
1
0.1
0.2
0.2
0.15
0.1
0.1
0.05
0.1
P
(
X
=
−
3
)
=
0.1
⇒
P
(
X
<
0
)
=
P
(
X
=
−
1
)
+
P
(
X
=
−
3
)
=
0.2
+
0.1
⇒
P
(
X
=
−
3
)
P
(
X
<
0
)
=
0.1
0.3
=
0.3333
Hence, the answer is
0.3333.
Two cards are drawn successive with replacement from a pack of cards. Taking the random variable X= the variance of X is
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0%
2
13
0%
9
13
0%
24
169
0%
1
13
X is a continuous random variable with probability density function
f
(
x
)
=
3
(
1
−
2
x
2
)
; 0 < x < 1
= 0 ; otherwise
Then, value of
P
(
1
4
<
X
<
1
3
)
is
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0%
128
752
0%
331
752
0%
165
864
0%
179
864
if
P
(
X
=
x
)
=
C
(
2
3
)
x
;
x
=
1
,
2
,
3
,
4
,
.
.
.
.
.
.
.
is a probability mass function, the value of
C
is
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0%
1
4
0%
1
3
0%
1
2
0%
1
6
If the range of a random variable
X
is
0
,
1
,
2
,
3
,
.
.
.
.
with
P
X
=
K
=
(
k
+
1
)
a
3
k
for
k
≥
0
, then
a
=
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0%
2
/
3
0%
4
/
9
0%
89
/
27
0%
16
/
81
The c.d.f of a discrete r.v X is
Then
P
(
X
=
−
3
|
X
<
0
)
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0%
0.3333
0%
0.35
0%
0.55
0%
0.25
Two coins are tossed 1000 times and the outcomes are recorded as below:
Number of heads
2
1
0
Frequency
200
550
250
Based on this information, the probability for atmost one head is
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0%
1
5
0%
1
4
0%
4
5
0%
3
4
A fair die is tossed repeatedly until a 6 is obtained. Let X denote the number of tosses required.
The probability that
x
≥
3
equals
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0%
125/216
0%
25/36
0%
5/36
0%
25/216
An unbiased coin is tossed n times. Let X denote the number of times head occurs. If P(X=4), P(X=5) and P(X=6) are in AP, then the value of n can be
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0%
9
0%
10
0%
12
0%
14
f
(
x
)
=
k
√
k
,
0
<
x
<
1
=
0
, otherwise is p.d.f of
X
. Then
P
(
0.3
<
X
<
0.6
)
=
____
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0%
(
0.6
−
0.3
)
3
2
0%
(
0.3
−
0.6
)
3
2
0%
(
0.6
)
3
2
−
(
0.3
)
3
2
0%
(
0.3
)
3
2
−
(
0.6
)
3
2
Three coins are thrown simultaneously 60 times, with the following frequencies:
No. of heads
3
2
1
0
Frequency
10
5
18
27
Based on these information find the probability of
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0%
P (getting 3 heads)
0%
P (getting no heads)
0%
P (at most 1 head)
0%
P (at least 1 head)
0:0:1
1
2
3
4
5
6
7
8
9
10
11
12
13
14
1
2
3
4
5
6
7
8
9
10
11
12
13
14
0
Answered
1
Not Answered
13
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Correct : 0
Incorrect : 0
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Practice Class 12 Commerce Applied Mathematics Quiz Questions and Answers
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