Math Problem Statement

Assume the random variable X has a binomial distribution with the given probability of obtaining a success. Find the following probability, given the number of trials and the probability of obtaining a success. Round your answer to four decimal places.

P(X>4) , n=8 , p=0.7

Solution

We are tasked with finding the probability P(X>4)P(X > 4), where XX is a binomial random variable with parameters n=8n = 8 and p=0.7p = 0.7.

The binomial distribution is given by the formula:

P(X=k)=(nk)pk(1p)nkP(X = k) = \binom{n}{k} p^k (1-p)^{n-k}

However, we need P(X>4)P(X > 4), which is the complement of P(X4)P(X \leq 4). So, we can calculate it as:

P(X>4)=1P(X4)P(X > 4) = 1 - P(X \leq 4)

To find P(X4)P(X \leq 4), we sum up the probabilities from X=0X = 0 to X=4X = 4:

P(X4)=P(X=0)+P(X=1)+P(X=2)+P(X=3)+P(X=4)P(X \leq 4) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) + P(X = 4)

Now, let's compute this probability. I'll calculate it step by step.The probability P(X>4)P(X > 4) is approximately 0.80590.8059 when rounded to four decimal places.

Would you like any further explanation on this, or have additional questions? Here are some related questions you might explore:

  1. How is the binomial distribution related to the normal distribution?
  2. How would the probability change if p=0.5p = 0.5?
  3. What is the expected value of XX in this scenario?
  4. How would you calculate the variance of XX?
  5. What happens to the probability if we increase the number of trials nn?

Tip: For large values of nn and pp not too close to 0 or 1, the binomial distribution can be approximated by a normal distribution for easier calculations.

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Math Problem Analysis

Mathematical Concepts

Probability
Binomial Distribution

Formulas

P(X = k) = C(n, k) * p^k * (1-p)^(n-k)
P(X > 4) = 1 - P(X <= 4)

Theorems

Binomial Theorem

Suitable Grade Level

Grades 10-12