Questions: Correct
Suppose a random sample of 36 measurements is selected from a population with mean 67 and standard deviation 12
Step 2 of 2: Find the standard deviation of the sampling distribution of sample means using the given information. Round to two decimal place, if necessary.
Transcript text: Correct
Suppose a random sample of 36 measurements is selected from a population with mean 67 and standard deviation 12
Step 2 of 2: Find the standard deviation of the sampling distribution of sample means using the given information. Round to two decimal place, if necessary.
Solution
Solution Steps
Step 1: Given Information
We have a population with the following parameters:
Population Mean (\( \mu \)): 67
Population Standard Deviation (\( \sigma \)): 12
Sample Size (\( n \)): 36
Step 2: Calculate the Standard Error of the Mean
The standard error of the mean (SEM) is calculated using the formula:
\[
SEM = \frac{\sigma}{\sqrt{n}}
\]
Substituting the given values:
\[
SEM = \frac{12}{\sqrt{36}} = \frac{12}{6} = 2
\]
Step 3: Round the Result
The standard error of the mean is already a whole number, so rounding to two decimal places gives:
\[
SEM \approx 2.00
\]
Final Answer
The standard deviation of the sampling distribution of sample means is