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Transcript
Know what Chebyshev says about every data set, no matter how skewed
or extreme the data might be
β€œThe portion of the data that likes within π‘˜ standard distributions of the mean is at
1
least 1 – 2 .”
π‘˜
ο‚· Chebyshev uses the letter π‘˜ to stand for β€œhow many standard deviations
away from the mean?” But that’s really the same meaning as the letter 𝑧,
again, β€œhow many standard deviations away from the mean?”
Four kinds of Chebyshev problems
1) Sometimes it’s easy, they just tell you the k value
Example: β€œIn any data set, no matter what shape the data distribution has, at least
_________ % of the data lives within 1.6 standard deviations of the mean.”
ο‚· Just plug in the π‘˜ value.
ο‚· Convert to a percent.
ο‚· Round to the nearest tenth of a percent.
β€œIn any data set, no matter what shape the data distribution has, at least
_________ % of the data lives within 1.8 standard deviations of the mean.”
2) Sometimes you need both π’Œ (or 𝒛) and 𝒙 values
Example: β€œSuppose that a certain data set has a mean of 112 and a standard
deviation of 36. According to Chebyshev, we are guaranteed that at least ______%
of the data values must be between 29.2 and 194.8.”
ο‚· For the π‘₯ value 29.2, find the corresponding 𝑧 score: _______
ο‚· For the π‘₯ value 194.8, find the corresponding 𝑧 score: _______
ο‚· Observe – this problem was rigged so that the low and high were the same
distance from the mean.
ο‚· z is a number of standard distributions away from the mean. So is π‘˜. Plug
into the Chebyshev Theorem formula and convert to a percent.
Answer: β€œFor that particular data set, at least ______% of the data values are
between 29.2 and 194.8, no matter what crazy distribution shape or extreme
outlier values there may be. And up to ______% lies outside that interval.”
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3) Sometimes Chebyshev runs backwards and you have to find k
Example: β€œIn any data set, regardless of the distribution shape, we are guaranteed
that 95% of the data lies within how many standard deviations of the mean?”
ο‚· Plug in the 0.95 as the result of the Chebyshev Formula.
ο‚· Work backwards to solve for π‘˜.
o Clear the fractions: multiply each term by π‘˜ 2 .
o Combine like terms: π‘˜ 2 terms on one side = number term on other
side. Divide by the coefficient to finish isolating the π‘˜ 2 .
o Use the Square Root Property.
Answer: β€œIn any data set, regardless of the distribution shape, we are guaranteed
that at least 95% of the data lies within __________ standard deviations of the
mean.”
And: β€œUp to ____% could be more than _________ standard deviations away from
the mean.”
4) Sometimes Chebyshev runs backwards and you need to answer with x
values
Example: β€œSuppose a certain data set has a mean of 100 and a standard deviation
of 10 and some unknown distribution shape. It could be heavily skewed and/or it
could have some outrageous outliers. Based on Chebyshev’s Theorem, we are
guaranteed that 68% of the data values lie between what two values?
ο‚· Plug in 0.68 as the result of the Chebyshev Formula.
ο‚· Work backwards to solve for π‘˜. (Clear Fractions, Combine Like Terms,
Square Root Property).
ο‚· Convert those π‘˜ (that is, 𝑧) values into π‘₯ values.
Answer: β€œFor this particular data set, we are guaranteed that 68% of the data lies
between the values _____ and ______.”
And: β€œUp to ______% of the data could be lower than _____ or higher than
_____.”
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