Find the mean, variance, and standard deviation of the binomial distribution with the given values of n and p. n= 125, p 0.48 The mean, p, is (Round to the nearest tenth as needed.)

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**Finding the Mean, Variance, and Standard Deviation of a Binomial Distribution**

To find the mean, variance, and standard deviation of the binomial distribution with the given values of \( n \) and \( p \):

\[
n = 125, \quad p = 0.48
\]

### Mean

The mean (\( \mu \)) of a binomial distribution is calculated using the formula:

\[
\mu = n \cdot p
\]

Given:

\[
n = 125
\]
\[
p = 0.48
\]

Calculate the mean:

\[
\mu = 125 \cdot 0.48
\]

\[
\mu = 60
\]

So, the mean, \( \mu \), is **60**. 

**(Note: As needed, round to the nearest tenth.)**

**(For the next steps, similar calculations for variance and standard deviation can be displayed and explained.)**
Transcribed Image Text:**Finding the Mean, Variance, and Standard Deviation of a Binomial Distribution** To find the mean, variance, and standard deviation of the binomial distribution with the given values of \( n \) and \( p \): \[ n = 125, \quad p = 0.48 \] ### Mean The mean (\( \mu \)) of a binomial distribution is calculated using the formula: \[ \mu = n \cdot p \] Given: \[ n = 125 \] \[ p = 0.48 \] Calculate the mean: \[ \mu = 125 \cdot 0.48 \] \[ \mu = 60 \] So, the mean, \( \mu \), is **60**. **(Note: As needed, round to the nearest tenth.)** **(For the next steps, similar calculations for variance and standard deviation can be displayed and explained.)**
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