QUESTION IMAGE
Question
eight adults are surveyed and asked how many credit cards they possess. their responses are 4, 0, 3, 1, 5, 2, 2, and 3. complete the table below.
| $x$ | $\bar{x}$ | $x - \bar{x}$ | $(x - \bar{x})^2$ |
|---|---|---|---|
| 0 | 2.5 | ||
| 3 | 2.5 | ||
| 1 | 2.5 | ||
| 5 | 2.5 | ||
| 2 | 2.5 | ||
| 2 | 2.5 | ||
| 3 | 2.5 |
using the formula for standard deviation
$sigma = \sqrt{\frac{\sum \left(x - \bar{x}\
ight)^2}{n}}$
Step1: Calculate \( x - \bar{x} \) and \( (x - \bar{x})^2 \) for each \( x \)
For \( x = 4 \):
\( x - \bar{x} = 4 - 2.5 = 1.5 \)
\( (x - \bar{x})^2 = (1.5)^2 = 2.25 \)
For \( x = 0 \):
\( x - \bar{x} = 0 - 2.5 = -2.5 \)
\( (x - \bar{x})^2 = (-2.5)^2 = 6.25 \)
For \( x = 3 \):
\( x - \bar{x} = 3 - 2.5 = 0.5 \)
\( (x - \bar{x})^2 = (0.5)^2 = 0.25 \)
For \( x = 1 \):
\( x - \bar{x} = 1 - 2.5 = -1.5 \)
\( (x - \bar{x})^2 = (-1.5)^2 = 2.25 \)
For \( x = 5 \):
\( x - \bar{x} = 5 - 2.5 = 2.5 \)
\( (x - \bar{x})^2 = (2.5)^2 = 6.25 \)
For \( x = 2 \):
\( x - \bar{x} = 2 - 2.5 = -0.5 \)
\( (x - \bar{x})^2 = (-0.5)^2 = 0.25 \)
For \( x = 2 \):
\( x - \bar{x} = 2 - 2.5 = -0.5 \)
\( (x - \bar{x})^2 = (-0.5)^2 = 0.25 \)
For \( x = 3 \):
\( x - \bar{x} = 3 - 2.5 = 0.5 \)
\( (x - \bar{x})^2 = (0.5)^2 = 0.25 \)
Step2: Sum the \( (x - \bar{x})^2 \) values
\( \sum (x - \bar{x})^2 = 2.25 + 6.25 + 0.25 + 2.25 + 6.25 + 0.25 + 0.25 + 0.25 \)
\( = (2.25 + 2.25) + (6.25 + 6.25) + (0.25 + 0.25 + 0.25 + 0.25) \)
\( = 4.5 + 12.5 + 1 \)
\( = 18 \)
Step3: Calculate the standard deviation \( \sigma \)
Given \( n = 8 \),
\( \sigma = \sqrt{\frac{\sum (x - \bar{x})^2}{n}} = \sqrt{\frac{18}{8}} = \sqrt{2.25} = 1.5 \)
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The completed table is:
| \( x \) | \( \bar{x} \) | \( x - \bar{x} \) | \( (x - \bar{x})^2 \) |
|---|---|---|---|
| 0 | 2.5 | -2.5 | 6.25 |
| 3 | 2.5 | 0.5 | 0.25 |
| 1 | 2.5 | -1.5 | 2.25 |
| 5 | 2.5 | 2.5 | 6.25 |
| 2 | 2.5 | -0.5 | 0.25 |
| 2 | 2.5 | -0.5 | 0.25 |
| 3 | 2.5 | 0.5 | 0.25 |
The standard deviation \( \sigma = 1.5 \)