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Misuses Of Statistics
Why are they misused ???
Statistics is also frequently misused to :
➔ sell products that don’t work properly,
➔ to attempt to prove something true that is not really
true,
➔ to get our attention by using statistics to evoke fear
and shock
➔ Suspect samples
➔ Ambiguous averages
➔ Changing the subject
➔ Detached Statistics
➔ Implied Connections
➔ Misleading Graphs
HOW
ARE
THEY
MISUSED
It is important that sample
sizes
are large enough, and
that the subjects
in the sample
were
selected randomly.
Consider the statement “ 3 out
of 4 doctors recommend pain
reliever A ”.
If the sample contained only 4
doctors, then the data set is
certainly not large enough to
draw a significant conclusion.
A sample size of 100 doctors
might suggest more reliable
results.
1. Suspect Samples
2. Ambiguous Average
There are four commonly used measures that are
loosely called averages
• Mean
• Median
• Mode
• Midrange
One may use the MEAN to describe a
data set that contains a few extreme
data values when the MEDIAN might
be a much better descriptor of the
central tendencies of the population.
Ambiguous Average cntd..
Consider the following closing prices
for all 10 homes sold in a given month
in a small town.
A quick examination of the data,
shows that homes in this area
frequently sell in the mid $100,000 of
dollars.
However, we can see that there are
more expensive properties that sell in
this market as well.
Closing Price
$135k $147k $158k $167k $450k
$142k $153k $159k $168k $675k
Mean = $235,400
Median = $158,500
3. Changing the Subject
Statistical distortion can
occur when different
values are used to
represent the same data.
One politician trying to
make his point might
make the following
statement: The interest
payment on outstanding
debt for the US
Government in 2015 was
about 2.2% of the
outstanding debt.
Another politician
might attempt to make
his point with the
following statement:
The interest payment
on outstanding debt for
the US Government in
2015 was about
$402,435,356,075.49
While both figures represent the same debt payment, using a value like 2.2% to
represent such a large number is certainly misleading.
A claim that
uses
a detached
statistic is one
in which
no comparison
is made.
Consider the statement:
“ People who use this diet lose
an average of 10 more pounds
per day. ”
No comparison is provided, so
the question that should be
asked is: 10 more pounds per
day than what?
4. Detached Statistics
5.
6. Implied Connections
A claim might attempt to imply connections between 2 variables where no
connection actually exists.
The advertising claim -
“Eating one bowl of our oatmeal cereal every morning may improve your child’s
ability to focus at school”does not specifically guarantee an increase in
academic performance. But the benefit is certainly implied.
Summary
Identify and avoid the following ways that statistics is misused
• Suspect Samples
• Ambiguous Averages
• Changing the Subject
• Detached Statistics
• Implied Connections
• Misleading Graphs

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Misuses of statistics

  • 2. Why are they misused ??? Statistics is also frequently misused to : ➔ sell products that don’t work properly, ➔ to attempt to prove something true that is not really true, ➔ to get our attention by using statistics to evoke fear and shock
  • 3. ➔ Suspect samples ➔ Ambiguous averages ➔ Changing the subject ➔ Detached Statistics ➔ Implied Connections ➔ Misleading Graphs HOW ARE THEY MISUSED
  • 4. It is important that sample sizes are large enough, and that the subjects in the sample were selected randomly. Consider the statement “ 3 out of 4 doctors recommend pain reliever A ”. If the sample contained only 4 doctors, then the data set is certainly not large enough to draw a significant conclusion. A sample size of 100 doctors might suggest more reliable results. 1. Suspect Samples
  • 5. 2. Ambiguous Average There are four commonly used measures that are loosely called averages • Mean • Median • Mode • Midrange One may use the MEAN to describe a data set that contains a few extreme data values when the MEDIAN might be a much better descriptor of the central tendencies of the population.
  • 6. Ambiguous Average cntd.. Consider the following closing prices for all 10 homes sold in a given month in a small town. A quick examination of the data, shows that homes in this area frequently sell in the mid $100,000 of dollars. However, we can see that there are more expensive properties that sell in this market as well. Closing Price $135k $147k $158k $167k $450k $142k $153k $159k $168k $675k Mean = $235,400 Median = $158,500
  • 7. 3. Changing the Subject Statistical distortion can occur when different values are used to represent the same data.
  • 8. One politician trying to make his point might make the following statement: The interest payment on outstanding debt for the US Government in 2015 was about 2.2% of the outstanding debt. Another politician might attempt to make his point with the following statement: The interest payment on outstanding debt for the US Government in 2015 was about $402,435,356,075.49 While both figures represent the same debt payment, using a value like 2.2% to represent such a large number is certainly misleading.
  • 9. A claim that uses a detached statistic is one in which no comparison is made. Consider the statement: “ People who use this diet lose an average of 10 more pounds per day. ” No comparison is provided, so the question that should be asked is: 10 more pounds per day than what? 4. Detached Statistics
  • 10. 5.
  • 11. 6. Implied Connections A claim might attempt to imply connections between 2 variables where no connection actually exists. The advertising claim - “Eating one bowl of our oatmeal cereal every morning may improve your child’s ability to focus at school”does not specifically guarantee an increase in academic performance. But the benefit is certainly implied.
  • 12. Summary Identify and avoid the following ways that statistics is misused • Suspect Samples • Ambiguous Averages • Changing the Subject • Detached Statistics • Implied Connections • Misleading Graphs