A random sample of 72 households was selected for a phone survey. The key question asked was, "Do you or any member of your household own a produc Company A?" Of the 72 respondents, 18 said yes and 54 said no. a. Determine the sample proportion, p, of households that own a Company A product. b. If the population proportion is 0.75, determine the standard error of the propor::on. a, p= 0.25 (Round to two decimal places as needed.) b. o, = 0.1636| (Round to four decimal places as needed.)

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### Survey Analysis on Product Ownership

A random sample of 72 households was selected for a phone survey. The key question asked was, "Do you or any member of your household own a product from Company A?" Of the 72 respondents, 18 said yes and 54 said no.

#### a. Determine the sample proportion, \( p \), of households that own a Company A product.
- **Calculation**: The sample proportion is calculated as follows:
  - \( p = \frac{\text{Number of 'Yes' responses}}{\text{Total number of respondents}} = \frac{18}{72} = 0.25 \)
- **Rounded Result**: \( p = 0.25 \) (rounded to two decimal places as needed).

#### b. If the population proportion is 0.75, determine the standard error of the proportion.
- **Formula**: The standard error of the proportion is calculated using the formula:

  \[
  \sigma_p = \sqrt{\frac{P(1-P)}{n}}
  \]

  Where:
  - \( P = 0.75 \) (population proportion)
  - \( n = 72 \) (sample size)

- **Calculation**:
  - \( \sigma_p = \sqrt{\frac{0.75 \times (1 - 0.75)}{72}} = \sqrt{\frac{0.75 \times 0.25}{72}} \approx 0.1636 \)
- **Rounded Result**: \( \sigma_p = 0.1636 \) (rounded to four decimal places as needed).

This analysis can help in understanding the market penetration of Company A's products within the surveyed population and estimate the variability expected if the entire population were surveyed.
Transcribed Image Text:### Survey Analysis on Product Ownership A random sample of 72 households was selected for a phone survey. The key question asked was, "Do you or any member of your household own a product from Company A?" Of the 72 respondents, 18 said yes and 54 said no. #### a. Determine the sample proportion, \( p \), of households that own a Company A product. - **Calculation**: The sample proportion is calculated as follows: - \( p = \frac{\text{Number of 'Yes' responses}}{\text{Total number of respondents}} = \frac{18}{72} = 0.25 \) - **Rounded Result**: \( p = 0.25 \) (rounded to two decimal places as needed). #### b. If the population proportion is 0.75, determine the standard error of the proportion. - **Formula**: The standard error of the proportion is calculated using the formula: \[ \sigma_p = \sqrt{\frac{P(1-P)}{n}} \] Where: - \( P = 0.75 \) (population proportion) - \( n = 72 \) (sample size) - **Calculation**: - \( \sigma_p = \sqrt{\frac{0.75 \times (1 - 0.75)}{72}} = \sqrt{\frac{0.75 \times 0.25}{72}} \approx 0.1636 \) - **Rounded Result**: \( \sigma_p = 0.1636 \) (rounded to four decimal places as needed). This analysis can help in understanding the market penetration of Company A's products within the surveyed population and estimate the variability expected if the entire population were surveyed.
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