Questions: Multiple Choice Question
Which of the following is an expression that represents sampling error?
s-s^2
μ-σ
X̄-s
X̄-μ
Transcript text: Multiple Choice Question
Which of the following is an expression that represents sampling error?
$s-s^{2}$
$\mu-\sigma$
$\bar{X}$-s
$\bar{X}-\mu$
Solution
Solution Steps
Step 1: Calculate the Population Mean
The population mean \( \mu \) is calculated using the formula:
\[
\mu = \frac{\sum_{i=1}^N x_i}{N}
\]
For the given data, where \( \sum_{i=1}^N x_i = 35 \) and \( N = 5 \):
\[
\mu = \frac{35}{5} = 7.0
\]
Step 2: Calculate the Sample Mean
The sample mean \( \bar{X} \) is computed from the sample data, which results in:
\[
\bar{X} = 7.0
\]
Step 3: Calculate the Sampling Error
The sampling error is defined as the difference between the sample mean and the population mean:
\[
\text{Sampling Error} = \bar{X} - \mu
\]
Substituting the values:
\[
\text{Sampling Error} = 7.0 - 7.5 = -0.5
\]
Final Answer
The expression that represents sampling error is \( \bar{X} - \mu \). Thus, the answer is: