SOLUTION: for the following data set, approximate the sample standard deviation. miles (per day)---Frequency 1-2----------- --- 9 3-4----------- --- 22 5-6----------- --- 28 7-8----

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Question 332582: for the following data set, approximate the sample standard deviation.
miles (per day)---Frequency
1-2--------------- 9
3-4--------------- 22
5-6--------------- 28
7-8--------------- 15
9-10-------------- 14

Answer by jrfrunner(365) About Me  (Show Source):
You can put this solution on YOUR website!
Since you dont have the exact value, but instead have a range of values
the first thing to do is to get a surrogate (proxy) value. This is usually set a the mid point of the interval
1.5
3.5
etc...
---
next set up a data table as follows
Let X=midpoint, F=frequency
--
X ------ F ---- X*F
1.5 ----- 9 ---- 13.5
3.5 ----- 22 ---- 77.0
5.5 ----- 28 ---- 154.0
7.5 ----- 15 ---- 112.5
9.5 ----- 14 ---- 133.0
---
Compute the average = Xbar = sum%28Xi%2AFi%29%2Fsum%28Fi%29=490%2F88=5.57
--
for each interval compute a column (Xi-Xbar)^2
and then sum this column
sum%28%28Xi-Xbar%29%5E2%29%2AFi =[(1.5-5.57)^2]*9 + [(3.5-5.57)^2]*22 +..+[(9.5-5.57)^2]*14 = 515.59
this sum represents the sum of squared deviations.
---
Find the Variance
Variance = sum%28%28Xi-Xbar%29%5E2%29%2AFi%2F%28sum%28Fi%29-1%29=515.59/(88-1)=5.926
---
Standard dev = Sqrt(Variance) = Sqrt(5.926)=2.434
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There is another form of the variance formula that you could use

Variance = %28sum%28%28Xi%5E2%29%29%2AFi+-+Xbar%5E2%2Asum%28Fi%29%29%2F%28sum%28Fi%29-1%29