A genetic experiment with peas resulted in one sample of offspring that consisted of 403 green peas and 151 yellow peas. a. Construct a 95% confidence interval to estimate of the percentage of yellow peas. b. Based on the confidence interval, do the results of the experiment appear to contradict the expectation that 25% of the offspring peas would be yellow? a. Construct a 95% confidence interval. Express the percentages in decimal form.

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### Genetic Experiment with Peas

A genetic experiment with peas resulted in one sample of offspring that consisted of 403 green peas and 151 yellow peas.

#### Questions:

**a. Construct a 95% confidence interval to estimate the percentage of yellow peas.**

- Express the percentages in decimal form.
- \( \_\_\_\_\_ < p < \_\_\_\_\_ \) (Round to three decimal places as needed).

**b. Based on the confidence interval, do the results of the experiment appear to contradict the expectation that 25% of the offspring peas would be yellow?**

- Yes, the confidence interval does not include 0.25, so the true percentage could not equal 25%
- No, the confidence interval includes 0.25, so the true percentage could easily equal 25%

---

#### Explanation of Concepts:

To address these questions, you need to calculate the 95% confidence interval for the proportion of yellow peas.

1. **Calculate the sample proportion (p̂)**:
   \( p̂ = \frac{\text{number of yellow peas}}{\text{total number of peas}} \)
   
   In this case:
   \( p̂ = \frac{151}{403 + 151} = \frac{151}{554} \)

2. **Calculate the standard error (SE)**:
   \( \text{SE} = \sqrt{\frac{p̂ (1 - p̂)}{n}} \)
   
   Here, \( n \) is the total number of peas (554).

3. **Determine the Z-value for a 95% confidence level**:
   The Z-value is typically 1.96 for a 95% confidence interval.

4. **Construct the confidence interval**:
   \( CI = p̂ \pm (Z \times \text{SE}) \)

- **Interpret the Confidence Interval**:
  Once you have calculated the confidence interval, compare it with 0.25 to determine if it includes this value, to address part (b) of the question.

Note: The detailed calculations will provide you with the range which can be used to interpret whether 0.25 lies within this interval or not.

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Transcribed Image Text:--- ### Genetic Experiment with Peas A genetic experiment with peas resulted in one sample of offspring that consisted of 403 green peas and 151 yellow peas. #### Questions: **a. Construct a 95% confidence interval to estimate the percentage of yellow peas.** - Express the percentages in decimal form. - \( \_\_\_\_\_ < p < \_\_\_\_\_ \) (Round to three decimal places as needed). **b. Based on the confidence interval, do the results of the experiment appear to contradict the expectation that 25% of the offspring peas would be yellow?** - Yes, the confidence interval does not include 0.25, so the true percentage could not equal 25% - No, the confidence interval includes 0.25, so the true percentage could easily equal 25% --- #### Explanation of Concepts: To address these questions, you need to calculate the 95% confidence interval for the proportion of yellow peas. 1. **Calculate the sample proportion (p̂)**: \( p̂ = \frac{\text{number of yellow peas}}{\text{total number of peas}} \) In this case: \( p̂ = \frac{151}{403 + 151} = \frac{151}{554} \) 2. **Calculate the standard error (SE)**: \( \text{SE} = \sqrt{\frac{p̂ (1 - p̂)}{n}} \) Here, \( n \) is the total number of peas (554). 3. **Determine the Z-value for a 95% confidence level**: The Z-value is typically 1.96 for a 95% confidence interval. 4. **Construct the confidence interval**: \( CI = p̂ \pm (Z \times \text{SE}) \) - **Interpret the Confidence Interval**: Once you have calculated the confidence interval, compare it with 0.25 to determine if it includes this value, to address part (b) of the question. Note: The detailed calculations will provide you with the range which can be used to interpret whether 0.25 lies within this interval or not. ---
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