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Chapter 8
Bell-Shaped Curves and Other Shapes
A frequency curve is the most common
way of representing a population.
It is similar to a histogram except the
curve is smooth.
If the curve follows a normal
distribution (Gaussian distribution) then
it will be a bell-shaped curve.
Frequency curves are useful in
determining what proportion or
percentage of the population falls within
an interval.
The area under the curve represents this
proportion
The total area is 1
The normal distribution is characterized
by  (population mean) and 
(population standard deviation)
A normal curve with a   0 and   1 is
called the standard normal curve
A percentile represents the position of
your measurement in comparison with
everyone else’s.
It gives the percentage of the population
that falls below you.
To find a percentile we will use
standardized scores (z-scores), denoted
z
Example
If your height is 70 inches, and the
heights of the class are normally
distributed with   65 and   5 , then
you have a z  1
That is your height is 1 standard
deviation above the mean
z
xx
s
z-scores allow us to transform any
normal curve into a standard normal
curve
Empirical Rule (for mound shaped
distributions)
Approximately 68% of the data fall
within 1 standard deviation of the mean
 x  s, x  s 
Approximately 95% of the data fall
within 2 standard deviations of the mean
 x  2 s, x  2 s 
Approximately 99.7% of the data fall
within 3 standard deviations of the mean
 x  3s, x  3s 
For a normal distribution, the empirical
rule gives exact percentages
Example
Scores on an IQ test are normally
distributed with   110 and   25
What does the empirical rule tell you
about this data?
What percentage of people scored lower
than a 100 on the IQ test?
Find the probability a person would
score higher than a 150 on the IQ test.
Find the proportion of people who scored
between a 75 and 130 on the IQ test.
To find an observation given a percentile
you would use the following:
x     z 
If you score better than 95% of people on
the IQ test, then what is your score?
If 95% of people score better than you
then what is your score?
Example
The length of pregnancies has a
distribution that is normal with   266
and   16 .
What percent of pregnancies last less
than 240 days?
What percent of pregnancies last
between 240 and 270 days?
How long do the longest 20% of
pregnancies last?