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Published on: 13/05/2022
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Take MCQ Business Maths and Statistics Test

1.
A discrete random variable. X has the following probability distribution
| X | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| P(X) | a | 3a | 5a | 7a | 9a | 11a | 13a | 15a | 17a |
Pind the value of a and P(X< 3)
2.
A random variable X has the probability mass function
| X | -2 | 3 | 1 |
| P(X=x) | \(\frac{k}{6}\) | \(\frac{k}{4}\) | \(\frac{k}{12}\) |
then find k
3.
Two eggs are drawn at random without replacement from a bag containing two bad eggs and eight good eggs. Find the probability of getting two bad eggs?
4.
An unbiased die is rolled. If the random variable X is defined as
X(w) = {1, the outcome w is an even number
{0, if the outcome w is an odd number
Find the probability distribution of X.
5.
Determine whether the following is a probability distribution of a random variable X.
| X | 0 | 1 | 2 |
| P(X) | 0.6 | 0.1 | 0.2 |
1.
For the probability distribution, ∑pi = 1
⇒ a + 3a + 5a + 7a + 9a + 11a + 13a + 15a + 17a = 1
⇒81a = 1 ⇒ a = \(\frac{1}{81}\)
Also P(X< 3) = P(X = 0)+P(X = 1) + P(X = 2)
= a + 3a + 5a = 9a = 9(\(\frac{1}{81}\))
= \(\frac{1}{9}\)
2.
Since the random variable. X is the probability mass function, Σpi = 1
\(\Rightarrow \frac { k }{ 6 } +\frac { k }{ 4 } +\frac { k }{ 12 } =1\Rightarrow \frac { 2k+3k+k }{ 12 } =1\)
\(\Rightarrow \frac { 6k }{ 12 } =1\Rightarrow k=\frac { 12 }{ 6 } =2\quad \therefore k=2\)
3.
A bag contains 2 bad eggs and 8 good eggs
∴ Total number of eggs = 10
We are going to select 3 eggs, out of that 2 must be bad eggs.
∴ Required probability \(=\frac { { 2C }_{ 2 }\times { 8C }_{ 1 } }{ 10{ C }_{ 3 } } =\frac { 1\times 8 }{ \frac { 10\times 9\times 8 }{ 3\times 2\times 1 } } \)
\(=\frac { 1\times 8\times 3\times 2\times 1 }{ 10\times 9\times 8 } =\frac { 1 }{ 15 } \)
∴ Probability of getting two bad eggs = \(\frac{1}{15}.\)
4.
When a die is rolled, sample space
S = {1, 2, 3, 4, 5, 6} ⇒ n(S) = 6
∴P(X = 0) = Probability of getting an odd number = \(\frac{3}{6}\)[∵ Their are 3 favourable events]
= \(\frac{1}{2}\)
Thus, the probability distribution of the random variable X is given by
| X | 0 | 1 |
| P(X) | \(\frac{1}{2}\) | \(\frac{1}{2}\) |
5.
P(X = 0) + P(X = 1) + P(X = 2)
= 0.6 + 0.1 + 0.2 = 0.9 ≠ 1
Hence the given distribution of probabilities is not a probability distribution.
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