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.

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.
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Solution

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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

\(\boxed{2.0}\).

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