About 40% of a population are of a particular ethnic group. 110 people are randomly selected from this population. Round all answers to 3 decimal places. Convert the percentage of the population to a decimal: p: Compute the mean and standard of this size sample of this binomial distribution: Mean: Standard Deviation:

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### Understanding Binomial Distribution

#### Problem Statement
About 40% of a population are of a particular ethnic group. 110 people are randomly selected from this population. Round all answers to 3 decimal places.

#### Steps to Solve
1. **Convert the percentage of the population to a decimal:**

    \( p: \) [Input Box]

2. **Compute the mean and standard deviation of this size sample of this binomial distribution:**

    **Mean:**

    \(\mu: \) [Input Box]

    **Standard Deviation:**

    \(\sigma: \) [Input Box]

### Explanation

1. **Convert Percentage to Decimal:**
   To convert a percentage to a decimal, divide the percentage by 100.
   
   Formula: \( \text{Decimal Value} = \frac{\text{Percentage}}{100} \)

2. **Computing the Mean of a Binomial Distribution:**
   The mean (\(\mu\)) of a binomial distribution is calculated using the formula:

   \[
   \mu = n \times p
   \]

   where \( n \) is the number of trials and \( p \) is the probability of success.

3. **Computing the Standard Deviation of a Binomial Distribution:**
   The standard deviation (\(\sigma\)) of a binomial distribution is calculated using the formula:

   \[
   \sigma = \sqrt{n \times p \times (1 - p)}
   \]

   This measures the dispersion of the sample proportions.

### Application

Given:
- \( n = 110 \)
- \( p = 0.40 \) (from the first input box after converting 40% to a decimal)

#### Example Calculation

1. **Decimal Conversion:**
   If initially given 40%, converting this to a decimal:

   \[
   p = \frac{40}{100} = 0.400
   \]

2. **Mean Calculation:**
   \[
   \mu = 110 \times 0.40 = 44.000
   \]

3. **Standard Deviation Calculation:**
   \[
   \sigma = \sqrt{110 \times 0.40 \times (1 - 0.40)} 
   \]
   \[
   \sigma = \sqrt{110 \times 0.40 \times 0.60} 
   \
Transcribed Image Text:### Understanding Binomial Distribution #### Problem Statement About 40% of a population are of a particular ethnic group. 110 people are randomly selected from this population. Round all answers to 3 decimal places. #### Steps to Solve 1. **Convert the percentage of the population to a decimal:** \( p: \) [Input Box] 2. **Compute the mean and standard deviation of this size sample of this binomial distribution:** **Mean:** \(\mu: \) [Input Box] **Standard Deviation:** \(\sigma: \) [Input Box] ### Explanation 1. **Convert Percentage to Decimal:** To convert a percentage to a decimal, divide the percentage by 100. Formula: \( \text{Decimal Value} = \frac{\text{Percentage}}{100} \) 2. **Computing the Mean of a Binomial Distribution:** The mean (\(\mu\)) of a binomial distribution is calculated using the formula: \[ \mu = n \times p \] where \( n \) is the number of trials and \( p \) is the probability of success. 3. **Computing the Standard Deviation of a Binomial Distribution:** The standard deviation (\(\sigma\)) of a binomial distribution is calculated using the formula: \[ \sigma = \sqrt{n \times p \times (1 - p)} \] This measures the dispersion of the sample proportions. ### Application Given: - \( n = 110 \) - \( p = 0.40 \) (from the first input box after converting 40% to a decimal) #### Example Calculation 1. **Decimal Conversion:** If initially given 40%, converting this to a decimal: \[ p = \frac{40}{100} = 0.400 \] 2. **Mean Calculation:** \[ \mu = 110 \times 0.40 = 44.000 \] 3. **Standard Deviation Calculation:** \[ \sigma = \sqrt{110 \times 0.40 \times (1 - 0.40)} \] \[ \sigma = \sqrt{110 \times 0.40 \times 0.60} \
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