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61
Which of the following is not an example of a discrete probability distribution?
Discuss
Answer & Solution
Answer: Option B
Solution:
The sale or purchase price of a house
62
The collection of one or more outcomes from an experiment is called
Discuss
Answer & Solution
Answer: Option A
Solution:
An event is collection of one or more outcomes from an experiment.
63
The probability of success changes from trial to trial in
Discuss
Answer & Solution
Answer: Option C
Solution:
Hypergeometric distribution
64
Successive trials in binomial distribution are
Discuss
Answer & Solution
Answer: Option B
Solution:
Independent
65
Two dice are thrown simultaneously ,what is the probability of getting a total of 7?
Discuss
Answer & Solution
Answer: Option B
Solution:
n(S) = 6 × 6 = 36
E = {(1, 6), (6, 1), (5, 2), (2, 5), (4, 3), (3, 4)}
n(E) = 6
P(E) = $$\frac{{6}}{{36}}$$ = $$\frac{{1}}{{6}}$$
66
The mean of binomial distribution is
Discuss
Answer & Solution
Answer: Option B
Solution:
The mean of binomial distribution is "np"
67
Each trial in Binomial distribution has
Discuss
Answer & Solution
Answer: Option B
Solution:
Two Outcome
68
A bag contains 6 white and 4 black balls. Two balls are drawn at random. Find the probability that they are of same colour.
Discuss
Answer & Solution
Answer: Option D
Solution:
Number of ways two balls can be drawn from 10 balls (6 white +4 blacks)
$$ = {}^{10}{C_2} = \frac{{10 \times 9}}{{2 \times 1}} = 45$$
n(E) = Number of ways of drawing 2 balls from 6 white balls or 2 balls from 4 black balls
$$\eqalign{ & = {}^6{C_2} + {}^4{C_2} = 21 \cr & {\text{P}}\left( {\text{E}} \right) = \frac{{21}}{{45}} = \frac{7}{{15}} \cr} $$
69
In a Poisson probability distribution
Discuss
Answer & Solution
Answer: Option D
Solution:
The mean and variance of the distribution are same (equal)
70
The special rule of multiplication of probability, the events must be
Discuss
Answer & Solution
Answer: Option C
Solution:
If two events are independent, i.e. are not related, the special rule of multiplication is used to find the probability of their joint occurrence.
P(A and B) = P(A) × P(B)