Use the confidence interval to find the estimated margin of error. Then find the sample mean. A biologist reports a confidence interval of (3.1,3.7) when estimating the mean height (in centimeters) of a sample of seedlings. The estimated margin of error is

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**Margin of Error and Sample Mean Calculation**

To understand how to use a confidence interval to calculate the estimated margin of error and the sample mean, we can examine the following example:

A biologist reports a confidence interval of (3.1, 3.7) when estimating the mean height (in centimeters) of a sample of seedlings.

1. **Finding the Estimated Margin of Error:**

   The confidence interval is given as (3.1, 3.7). The margin of error (E) is calculated as half the width of the confidence interval:

   \[
   E = \frac{(3.7 - 3.1)}{2} = 0.3
   \]

   Therefore, the estimated margin of error is **0.3 cm**.

2. **Finding the Sample Mean:**

   The sample mean is the midpoint of the confidence interval, calculated as follows:

   \[
   \text{Sample Mean} = \frac{(3.1 + 3.7)}{2} = 3.4
   \]

   Thus, the sample mean is **3.4 cm**.

These calculations help in understanding the accuracy and central tendency of the data gathered from the seedlings.
Transcribed Image Text:**Margin of Error and Sample Mean Calculation** To understand how to use a confidence interval to calculate the estimated margin of error and the sample mean, we can examine the following example: A biologist reports a confidence interval of (3.1, 3.7) when estimating the mean height (in centimeters) of a sample of seedlings. 1. **Finding the Estimated Margin of Error:** The confidence interval is given as (3.1, 3.7). The margin of error (E) is calculated as half the width of the confidence interval: \[ E = \frac{(3.7 - 3.1)}{2} = 0.3 \] Therefore, the estimated margin of error is **0.3 cm**. 2. **Finding the Sample Mean:** The sample mean is the midpoint of the confidence interval, calculated as follows: \[ \text{Sample Mean} = \frac{(3.1 + 3.7)}{2} = 3.4 \] Thus, the sample mean is **3.4 cm**. These calculations help in understanding the accuracy and central tendency of the data gathered from the seedlings.
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