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To compute the Variance and Standard Deviation from a Frequency Distribution
Example: The data here represents the three-year rate of return of a random sample of 40 small-capitalization growth mutual funds. Approximate the variance and standard deviation three-year rate of return.
|
Class (three- year rate of return) |
Frequency |
|
10.0-14.9 |
7 |
|
115.0-19.9 |
11 |
|
20.0-24.9 |
8 |
|
25.0-29.9 |
6 |
|
30.0-34.9 |
3 |
|
35.0-39.9 |
3 |
|
40.0-44.9 |
0 |
|
45.0-49.9 |
2 |
Press
STAT and select 1: Edit. Clear L1 an L2. Enter the midpoints from the above
table into L1 and the frequencies into L2. Press STAT, highlight CALC, select
1:1-Var Stats, and press 2nd
,
2nd
ENTER.
The sample statistics will appear on the screen. The sample standard deviation
of the frequency distribution described in columns L1 and L2 is 9.2369. In this
example you do not have the actual data. What you have is the frequency
distribution of the data summarized into categories. The standard deviation of
this frequency distribution is an approximation of the standard deviation of the
actual data.
To
calculate the sample variance,
,
type in the value of the standard deviation at the bottom of the screen and
press the
key
and ENTER. The approximate sample variance is 85.32.