Question:

If \(X\sim(5,p)\) \(P(X=3) = 5P(X=4)\), find variance.

Updated On: Apr 3, 2025
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Approach Solution - 1

1. Understand the Problem:
We're given that X follows a binomial distribution with n = 5 trials and probability of success p, denoted as X ~ B(5, p). We're also given that P(X = 3) = 5P(X = 4). We need to find the variance of X.

2. Recall the Binomial Probability Formula:
The probability of getting exactly k successes in n trials is given by:
P(X = k) = (nCk) * p^k * (1 - p)^(n - k)
where (nCk) = n! / (k! * (n - k)!)

3. Set Up the Given Equation:
We are given P(X = 3) = 5P(X = 4). Let's write out the probabilities using the binomial probability formula:

P(X = 3) = (5C3) * p^3 * (1 - p)^(5 - 3) = (5C3) * p^3 * (1 - p)^2
P(X = 4) = (5C4) * p^4 * (1 - p)^(5 - 4) = (5C4) * p^4 * (1 - p)

4. Substitute and Solve for p:
Now substitute these into the given equation:

(5C3) * p^3 * (1 - p)^2 = 5 * (5C4) * p^4 * (1 - p)

Calculate the binomial coefficients:

(5C3) = 5! / (3! * 2!) = (5 * 4) / 2 = 10
(5C4) = 5! / (4! * 1!) = 5

Substitute these values back into the equation:

10 * p^3 * (1 - p)^2 = 5 * 5 * p^4 * (1 - p)
10 * p^3 * (1 - p)^2 = 25 * p^4 * (1 - p)

Now, we can simplify:

* Divide both sides by 5: 2 * p^3 * (1 - p)^2 = 5 * p^4 * (1 - p)
* Divide both sides by p^3 (assuming p ≠ 0): 2 * (1 - p)^2 = 5 * p * (1 - p)
* Divide both sides by (1 - p) (assuming p ≠ 1): 2 * (1 - p) = 5 * p
* 2 - 2p = 5p
* 2 = 7p
* p = 2/7

5. Calculate the Variance:
The variance of a binomial distribution is given by:

Variance = np(1 - p)

Substitute n = 5 and p = 2/7:

Variance = 5 * (2/7) * (1 - 2/7)
Variance = 5 * (2/7) * (5/7)
Variance = 50 / 49

Therefore, the variance is 50/49.

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Approach Solution -2

Given:
\(X \sim \text{Binomial}(5, p)\)
\(P(X=3) = 5P(X=4)\)

Binomial probabilities:
Probability mass function (pmf) for X:
\(P(X=k) = \binom{5}{k} p^k (1-p)^{5-k}\)

Calculate \( P(X=3) \) and \( P(X=4) \):
\(P(X=3) = \binom{5}{3} p^3 (1-p)^{2} = 10 p^3 (1-p)^{2}\)

\(P(X=4) = \binom{5}{4} p^4 (1-p)^{1} = 5 p^4 (1-p)\)


\(P(X=3) = 5 P(X=4)\)
\(10 p^3 (1-p)^{2} = 5 \cdot 5 p^4 (1-p)\)
\(10 p^3 (1-p)^{2} = 25 p^4 (1-p)\)
Divide both sides by \(p^3\) (assuming \(p \neq 0\)):
\(10 (1-p)^{2} = 25 p (1-p)\)
Divide both sides by \((1-p)\) (assuming \(p \neq 1\)):
\(10 (1-p) = 25 p\)
\(10 - 10p = 25p\)
\(10 = 35p\)
\(p = \frac{10}{35} = \frac{2}{7}\)

Calculate the variance of X:
Variance of a binomial random variable \(X \sim \text{Binomial}(n, p)\) is \(\text{Var}(X) = n p (1-p)\).
Substitute \(n = 5\) and \(p = \frac{2}{7}\):
\(\text{Var}(X) = 5 \cdot \frac{2}{7} \cdot \left( 1 - \frac{2}{7} \right)\)

\(\text{Var}(X) = 5 \cdot \frac{2}{7} \cdot \frac{5}{7}\)

\(\text{Var}(X) = \frac{50}{49}\)

So, the answer is: \(\frac{50}{49}\)

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Concepts Used:

Probability

Probability is defined as the extent to which an event is likely to happen. It is measured by the ratio of the favorable outcome to the total number of possible outcomes.

The definitions of some important terms related to probability are given below:

Sample space

The set of possible results or outcomes in a trial is referred to as the sample space. For instance, when we flip a coin, the possible outcomes are heads or tails. On the other hand, when we roll a single die, the possible outcomes are 1, 2, 3, 4, 5, 6.

Sample point

In a sample space, a sample point is one of the possible results. For instance, when using a deck of cards, as an outcome, a sample point would be the ace of spades or the queen of hearts.

Experiment

When the results of a series of actions are always uncertain, this is referred to as a trial or an experiment. For Instance, choosing a card from a deck, tossing a coin, or rolling a die, the results are uncertain.

Event

An event is a single outcome that happens as a result of a trial or experiment. For instance, getting a three on a die or an eight of clubs when selecting a card from a deck are happenings of certain events.

Outcome

A possible outcome of a trial or experiment is referred to as a result of an outcome. For instance, tossing a coin could result in heads or tails. Here the possible outcomes are heads or tails. While the possible outcomes of dice thrown are 1, 2, 3, 4, 5, or 6.