Questions: Find the standard deviation, s, of sample data summarized in the frequency distribution table below by using the formula below, where x represents the class midpoint, f represents the class frequency, and n represents the total number of sample values. Also, compare the computed standard deviation to the standard deviation obtained from the original list of data values, 11.1.
s = sqrt((n[sum(f * x^2)] - [sum(f * x)]^2) / (n(n-1)))
Interval 30-36 37-43 44-50 51-57 58-64 65-71 72-78
Frequency 2 2 4 4 8 34 35
Standard deviation = 2.5 (Round to one decimal place as needed.)
Transcript text: list
Find the standard deviation, s , of sample data summarized in the frequency distribution table below by using the formula below, where x represents the class midpoint, $f$ represents the class frequency, and $n$ represents the total number of sample values. Also, compare the computed standard deviation to the standard deviation obtained from the original list of data values, 11.1 .
11
\[
s=\sqrt{\frac{n\left[\sum\left(f \cdot x^{2}\right)\right]-\left[\sum(f \cdot x)\right]^{2}}{n(n-1)}}
\]
\begin{tabular}{c|c|c|c|c|c|c|c}
Interval & $30-36$ & $37-43$ & $44-50$ & $51-57$ & $58-64$ & $65-71$ & $72-78$ \\
\hline Frequency & 2 & 2 & 4 & 4 & 8 & 34 & 35
\end{tabular}
Standard deviation $=2.5$ (Round to one decimal place as needed.)
Solution
Solution Steps
Step 1: Calculate Class Midpoints
The class midpoints are calculated by averaging the upper and lower bounds of each class interval.
Midpoint 1: 33
Midpoint 2: 40
Midpoint 3: 47
Midpoint 4: 54
Midpoint 5: 61
Midpoint 6: 68
Midpoint 7: 75
Step 2: Determine Class Frequencies
The class frequencies are given in the frequency distribution table.
Frequency 1: 2
Frequency 2: 2
Frequency 3: 4
Frequency 4: 4
Frequency 5: 8
Frequency 6: 34
Frequency 7: 35
Step 3: Compute Total Number of Sample Values
The total number of sample values, $n$, is the sum of all class frequencies: $n = 89$.
Step 4: Calculate Standard Deviation
Using the formula $s=\sqrt{\frac{n[\Sigma(f \cdot x^{2})]-[\Sigma(f \cdot x)]^{2}}{n(n-1)}}$,
we find the standard deviation to be $s = 9.9$.
Step 5: Compare Computed Standard Deviation to Original
The computed standard deviation is lower than the original standard deviation value of 11.1.
Final Answer:
The standard deviation of the sample data from the frequency distribution table is 9.9, which is lower than the original standard deviation value of 11.1.