Using the Empirical Rule

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Transcript Using the Empirical Rule

Using the Empirical
Normal Distributions
These are special density curves.
They have the same overall shape
 Symmetric
 Single-Peaked
 Bell-Shaped
They are completely described by giving its
mean () and its standard deviation ().
We abbreviate it N(,)
Normal Curves….
•Changing the mean without changing the standard
deviation simply moves the curve horizontally.
•The Standard deviation controls the spread of a Normal
Standard Deviation
It’s the natural measure of spread for Normal
It can be located by eye on a Normal curve.
 It’s
the point at which the curve changes from concave
down to concave up.
Why is the Normal Curve Important?
They are good descriptions for some real data
such as
 Test
scores like SAT, IQ
 Repeated careful measurements of the same quantity
 Characteristics of biological populations (height)
They are good approximations to the results of
many kinds of chance outcomes
They are used in many statistical inference
Empirical Rule
What percent do you think……
Empirical Rule (68-95-99.7 Rule)
In the Normal distribution with mean ()
and standard deviation ():
1 of  ≈ 68% of the observations
 Within 2 of  ≈ 95% of the observations
 Within 3 of  ≈ 99.7% of the observations
 Within
The distribution of batting average (proportion of hits) for the 432
Major League Baseball players with at least 100 plate appearances
in the 2009 season is normally distributed defined N(0.261, 0.034).
Sketch a Normal density curve for this distribution of batting
averages. Label the points that are 1, 2, and 3 standard
deviations from the mean.
What percent of the batting averages are above 0.329?
What percent are between 0.227 and .295?
Scores on the Wechsler adult Intelligence Scale (a
standard IQ test) for the 20 to 34 age group are
approximately Normally distributed. N(110, 25).
What percent are between 85 and 135?
What percent are below 185?
What percent are below 60?
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