Questions: The mean of the sampling distribution of (barx1-barx2) is always 0 (Zero). always positive. always (mu 1-mu 2). always negative.
Transcript text: The mean of the sampling distribution of $\bar{x}_{1}-\bar{x}_{2}$ is always 0 (Zero). always positive. always $\mu 1-\mu 2$. always negative.
Solution
Solution Steps
To determine the mean of the sampling distribution of the difference between two sample means, we use the properties of expected values. The mean of the sampling distribution of \(\bar{x}_{1} - \bar{x}_{2}\) is equal to the difference between the means of the two populations, \(\mu_1 - \mu_2\).
Step 1: Understanding the Problem
We need to find the mean of the sampling distribution of the difference between two sample means, \(\bar{x}_{1} - \bar{x}_{2}\). According to statistical theory, this mean is equal to the difference between the means of the two populations, \(\mu_1 - \mu_2\).
Step 2: Given Values
We are given the means of two populations:
\(\mu_1 = 10\)
\(\mu_2 = 5\)
Step 3: Calculate the Mean of the Sampling Distribution
The mean of the sampling distribution of \(\bar{x}_{1} - \bar{x}_{2}\) is calculated as:
\[
\mu_{\bar{x}_{1} - \bar{x}_{2}} = \mu_1 - \mu_2
\]
Substituting the given values:
\[
\mu_{\bar{x}_{1} - \bar{x}_{2}} = 10 - 5 = 5
\]
Final Answer
The mean of the sampling distribution of \(\bar{x}_{1} - \bar{x}_{2}\) is \(\mu_1 - \mu_2\). Therefore, the answer is \(\mu_1 - \mu_2\).