Assignment: Identifying a Sampling Distribution

Four pairs of shoes are for sale. The black boots (B) cost [tex]$\$[/tex]70[tex]$, the red boots (R) cost $[/tex]\[tex]$60$[/tex], the white sneakers (W) cost [tex]$\$[/tex]50[tex]$, and the green sandals (G) cost $[/tex]\[tex]$30$[/tex]. Use the table below to identify all samples of size [tex]$n=2$[/tex], the corresponding means, and their sampling distribution.

\begin{tabular}{|c|c|c|c|c|c|c|}
\hline \begin{tabular}{c}
Sample \\
[tex]$n = 2$[/tex]
\end{tabular} & RB & BW & RG & RW & WG & & \\
\hline Cost (\[tex]$) & 70, 60 & 70, 50 & 60, 30 & 60, 50 & 50, 30 & \\
\hline Mean & 65 & 60 & 45 & 55 & 40 & \\
\hline
\end{tabular}

The mean for the first sample displayed in the table is $[/tex]\[tex]$65$[/tex].

How would you best describe the sampling distribution of the means of the samples? There will be [tex]$\square$[/tex] dots located at the [tex]$\square$[/tex].



Answer :

Certainly! Let's walk through the steps to answer the questions.

### Step 1: Identify all samples of size [tex]\( n = 2 \)[/tex]
Given the four pairs of shoes:
1. Black boots (B) cost [tex]$70 2. Red boots (R) cost $[/tex]60
3. White sneakers (W) cost [tex]$50 4. Green sandals (G) cost $[/tex]30

The samples of size 2, considering all possible pairs, are:
1. (B, R)
2. (B, W)
3. (B, G)
4. (R, W)
5. (R, G)
6. (W, G)

### Step 2: Calculate the mean price for each sample
To find the mean, add the costs of the two shoes in each sample and divide by 2:

1. (B, R): [tex]\(\frac{70 + 60}{2} = 65.0\)[/tex]
2. (B, W): [tex]\(\frac{70 + 50}{2} = 60.0\)[/tex]
3. (B, G): [tex]\(\frac{70 + 30}{2} = 50.0\)[/tex]
4. (R, W): [tex]\(\frac{60 + 50}{2} = 55.0\)[/tex]
5. (R, G): [tex]\(\frac{60 + 30}{2} = 45.0\)[/tex]
6. (W, G): [tex]\(\frac{50 + 30}{2} = 40.0\)[/tex]

### Step 3: Construct the sampling distribution of the sample means
The sample means found are:
1. 65.0
2. 60.0
3. 50.0
4. 55.0
5. 45.0
6. 40.0

These sample means are:
[tex]\[ [65.0, 60.0, 50.0, 55.0, 45.0, 40.0] \][/tex]

### Step 4: Calculate the sampling distribution
The sampling distribution shows the frequency of each mean:

[tex]\[ \{ 65.0: 1, 60.0: 1, 50.0: 1, 55.0: 1, 45.0: 1, 40.0: 1 \} \][/tex]

### Step 5: Summary
- The number of unique sample means is 6 dots.
- The unique sample means (dot positions) are: 65.0, 60.0, 50.0, 55.0, 45.0, and 40.0.

### Completing the table

| Sample | Cost (\[tex]$) | Mean (\$[/tex]) |
|--------|-----------|-----------|
| (B, R) | 70, 60 | 65.0 |
| (B, W) | 70, 50 | 60.0 |
| (B, G) | 70, 30 | 50.0 |
| (R, W) | 60, 50 | 55.0 |
| (R, G) | 60, 30 | 45.0 |
| (W, G) | 50, 30 | 40.0 |

### Question Answers
1. The mean for the first sample (B, R) is: \$65.0
2. The sampling distribution of the means of the samples can be described as: There will be 6 dots located at the unique means: 65.0, 60.0, 50.0, 55.0, 45.0, and 40.0.

Now we have a thorough, step-by-step breakdown of the problem and its results.

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