Find the standard deviation of the numbers: -3, 0, 3, 8.
Show Hint
To calculate the standard deviation, first find the mean, then the squared differences from the mean, and finally compute the square root of the average of those squared differences.
The formula for the standard deviation (S.D) of a set of values is:
\[
S.D = \sqrt{\frac{1}{N} \sum_{i=1}^{N} (x_i - \mu)^2}
\]
Where:
- \( N \) is the number of values,
- \( x_i \) are the individual values,
- \( \mu \) is the mean of the values.
### Step 1: Find the Mean (\(\mu\))
The mean is given by the formula:
\[
\mu = \frac{1}{N} \sum_{i=1}^{N} x_i
\]
Substitute the given values:
\[
\mu = \frac{-3 + 0 + 3 + 8}{4} = \frac{8}{4} = 2
\]
### Step 2: Calculate the squared differences from the mean
Now, calculate the squared differences from the mean for each value:
- For \( x_1 = -3 \): \( (-3 - 2)^2 = (-5)^2 = 25 \)
- For \( x_2 = 0 \): \( (0 - 2)^2 = (-2)^2 = 4 \)
- For \( x_3 = 3 \): \( (3 - 2)^2 = (1)^2 = 1 \)
- For \( x_4 = 8 \): \( (8 - 2)^2 = (6)^2 = 36 \)
### Step 3: Calculate the variance
The variance is the average of the squared differences:
\[
\text{Variance} = \frac{25 + 4 + 1 + 36}{4} = \frac{66}{4} = 16.5
\]
### Step 4: Find the Standard Deviation
Finally, take the square root of the variance:
\[
S.D = \sqrt{16.5} \approx 4.06
\]
Thus, the standard deviation is approximately \( 4.06 \).