Questions: For this binomial distribution, what is the Expected Value for the number of successes when sample size is 82 with a probability of 0.39 ? Add your answer integer, decimat, or Enotation allowed

For this binomial distribution, what is the Expected Value for the number of successes when sample size is 82 with a probability of 0.39 ?

Add your answer
integer, decimat, or Enotation allowed
Transcript text: For this binomial distribution, what is the Expected Value for the number of successes when sample size is 82 with a probability of 0.39 ? Add your answer integer, decimat, or Enotation allowed
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Solution

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Solution Steps

Step 1: Calculate the Mean

For a binomial distribution, the expected value (mean) is calculated using the formula:

\[ \mu = n \cdot p \]

where:

  • \( n = 82 \) (the number of trials),
  • \( p = 0.39 \) (the probability of success).

Substituting the values:

\[ \mu = 82 \cdot 0.39 = 31.98 \]

Step 2: Calculate the Variance

The variance of a binomial distribution is given by the formula:

\[ \sigma^2 = n \cdot p \cdot q \]

where \( q = 1 - p \). Thus, we have:

\[ q = 1 - 0.39 = 0.61 \]

Now substituting the values into the variance formula:

\[ \sigma^2 = 82 \cdot 0.39 \cdot 0.61 = 19.508 \]

Step 3: Calculate the Standard Deviation

The standard deviation is the square root of the variance:

\[ \sigma = \sqrt{n \cdot p \cdot q} = \sqrt{19.508} \approx 4.417 \]

Final Answer

The expected value (mean) for the number of successes in this binomial distribution is:

\[ \boxed{31.98} \]

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