Questions: Given the following data, find the following:
Round your answers to 2 decimal places as needed
6 9 18
23 25 34
38 50 56
64 76
Mean =
Median =
Range =
Sample standard deviation =
Transcript text: Given the following data, find the following:
Round your answers to 2 decimal places as needed
\begin{tabular}{|c|c|c|}
\hline 6 & 9 & 18 \\
\hline 23 & 25 & 34 \\
\hline 38 & 50 & 56 \\
\hline 64 & 76 & \\
\hline
\end{tabular}
Mean $=$ $\square$
Median $=$ $\square$
Range $=$ $\square$
Sample standard deviation $=$ $\square$
Solution
Solution Steps
Step 1: Calculate the Mean
The mean (\(\mu\)) is calculated using the formula:
\[
\mu = \frac{\sum_{i=1}^N x_i}{N}
\]
Given the data: \([6, 9, 18, 23, 25, 34, 38, 50, 56, 64, 76]\), we have:
\[
\mu = \frac{6 + 9 + 18 + 23 + 25 + 34 + 38 + 50 + 56 + 64 + 76}{11} = \frac{399}{11} = 36.27
\]
Step 2: Calculate the Median
The median is the value that separates the higher half from the lower half of the data set. For a dataset of size \(N\), the median is at position:
\[
\text{Rank} = Q \times (N + 1)
\]
For \(Q = 0.5\) (the median) and \(N = 11\):
\[
\text{Rank} = 0.5 \times (11 + 1) = 6.0
\]
The sorted data is: \([6, 9, 18, 23, 25, 34, 38, 50, 56, 64, 76]\). The value at position 6 is 34.
Step 3: Calculate the Range
The range is the difference between the maximum and minimum values in the dataset:
\[
\text{Range} = \max(x_i) - \min(x_i) = 76 - 6 = 70
\]
Step 4: Calculate the Sample Standard Deviation
The sample standard deviation (\(s\)) is calculated using the formula:
\[
s = \sqrt{\frac{\sum (x_i - \mu)^2}{n-1}}
\]
Given the mean \(\mu = 36.27\), we calculate the variance (\(\sigma^2\)):
\[
\sigma^2 = \frac{\sum (x_i - \mu)^2}{n-1} = 523.02
\]
Thus, the standard deviation is:
\[
s = \sqrt{523.02} = 22.87
\]