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VARIANCE AND STANDARD DEVIATION
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Cards (18)
Range
Highest
value -
Lowest
value
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Finding range for group data
1. Get the
highest
class boundary
2. Get the
lowest
class boundary
3.
Subtract
the lowest from the
highest
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Variance
Measure of the
spread
of a
dataset
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Computing variance for group data
1. Get the total
frequency
(n)
2. Get the
class marks
3. Calculate
f*x
(
frequency
* class mark)
4. Get the mean (
sum
of
f*x
/ n)
5. Calculate (class mark -
mean
)^
2
6.
Multiply
each (class mark - mean)^
2
by the frequency
7. Sum the f*(class mark -
mean
)^
2
8.
Divide
the sum by (n-1) to get the
variance
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Standard deviation
Square root
of the
variance
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Computing standard deviation for group data
1. Calculate the
variance
2. Take the square
root
of the variance to get the
standard deviation
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The steps to find
range
, variance and standard deviation for
group
data are different from individual data
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Measure of
variability
or
dispersion
A number that conveys the idea of
spread
for the data set
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Measure of central tendency
Types of average:
mean
,
median
, mode
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Range
Measures the distance between the
largest
and the smallest value, gives an idea of the
spread
of the data set
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Range
is affected by outliers and does not consider all values in the data set, so it is not a very useful measure of
variability
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Finding the range
Get the highest value and subtract the lowest value
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Calculating range
Machine 1: Highest value
10.07
, lowest value 5.85, range =
10.07
- 5.85 = 4.22 ohms
Machine 2:
Highest
value 8.03,
lowest
value 7.95, range = 8.03 - 7.95 = 0.08 ohms
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Variance
The square of the standard deviation of the data
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Computing
variance
of a
population
Σ(x - μ)^2 / n
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Standard deviation
A measure of how
spread
out
numbers
are, the square root of the variance
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Computing standard
deviation
Determine the
mean
2. Calculate the
deviation
of each number from the
mean
3. Square each
deviation
and find the
sum
4. Divide the
sum
by n (population) or
n-1
(sample)
5. Take the square
root
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The dependable company produced the most consistent batteries with regards to
life expectancy
under constant use, as they had the
smallest
standard deviation
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