Questions: The weights of all newborn babies are normally distributed with a mean of 8.1 pounds and a standard deviation of 3.1 pounds. Determine the sample size required to produce a standard deviation of x̄ equal to 0.41
Transcript text: The weights of all newborn babies are normally distributed with a mean of 8.1 pounds and a standard deviation of 3.1 pounds. Determine the sample size required to produce a standard deviation of $\bar{x}$ equal to 0.41
Solution
Solution Steps
Step 1: Given Information
We are given the following parameters for the weights of newborn babies, which are normally distributed:
Population mean (\( \mu \)) = 8.1 pounds
Population standard deviation (\( \sigma \)) = 3.1 pounds
Desired standard deviation of the sample mean (\( \sigma_{\bar{x}} \)) = 0.41 pounds
Step 2: Relationship Between Standard Deviation and Sample Size
The standard deviation of the sample mean is related to the population standard deviation and the sample size by the formula:
\[
\sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}}
\]
Step 3: Rearranging the Formula
To find the required sample size (\( n \)), we rearrange the formula:
\[
\sqrt{n} = \frac{\sigma}{\sigma_{\bar{x}}}
\]
Squaring both sides gives:
\[
n = \left(\frac{\sigma}{\sigma_{\bar{x}}}\right)^2
\]
Step 4: Substituting Values
Substituting the known values into the equation:
\[
n = \left(\frac{3.1}{0.41}\right)^2
\]
Calculating the right-hand side:
\[
n = \left(7.561\right)^2 \approx 57.0
\]
Step 5: Rounding the Result
Since the sample size must be a whole number, we round \( n \) to the nearest whole number:
\[
n \approx 57
\]
Final Answer
The required sample size to achieve a standard deviation of the sample mean equal to 0.41 pounds is