Statistics for Decision- Making in Business - Maricopa Community ...
Statistics for Decision- Making in Business - Maricopa Community ...
Statistics for Decision- Making in Business - Maricopa Community ...
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5.2 The Normal Distribution<br />
5.2.1 The Normal Distribution As a Natural Phenomena<br />
The normal distribution (pictured above), much like the uni<strong>for</strong>m distribution, is a cont<strong>in</strong>uous<br />
distribution. In fact, this distribution is def<strong>in</strong>ed <strong>for</strong> all real numbers. The curve runs from to<br />
. However, as you might observe, the most likely values occur close to where the density<br />
function peaks. Values that occur <strong>in</strong> either one of the “tails” are highly unlikely and, as it<br />
appears, the density function is very close to the horizontal axis as it extends farther to the left<br />
and to the right.<br />
Why do we use this distribution Much like the <strong>in</strong>famous appears <strong>in</strong> many natural places,<br />
many random variables tend to be normally distributed. That is to say, the bulk of values tend to<br />
occur near the mean and median (both of which are located directly <strong>in</strong> the center of the<br />
distribution, s<strong>in</strong>ce it is perfectly symmetric). For <strong>in</strong>stance, heights of <strong>in</strong>dividuals <strong>in</strong> the United<br />
States (roughly) follow a normal distribution – there are many people whose heights are near<br />
average. There are fewer extremely short and extremely tall people <strong>in</strong> the United States. Thus,<br />
we would say that the bulk of people are “normal” with respect to their heights.<br />
While certa<strong>in</strong>ly not all random variables are normally distributed, many are. Weights, IQ, newvehicle<br />
gas mileages (to name just a very few) are variables that have been known to follow a<br />
normal distribution. As we will later see, any distribution can “become” a normal distribution.<br />
This is a beautiful phenomenon that allows us to make some important conclusions (more on this<br />
idea <strong>in</strong> a later section).<br />
As be<strong>for</strong>e, the overall area under the normal curve is 1 (50% on either side of the mean/median,<br />
as <strong>in</strong> the image). To f<strong>in</strong>d the area, we would need to use some rather unusual shapes <strong>in</strong> order to<br />
apply the same methodology as be<strong>for</strong>e. The idea of an <strong>in</strong>tegral <strong>in</strong> calculus would actually allow<br />
us to f<strong>in</strong>d the area exactly, however, the normal curve is modeled by the follow<strong>in</strong>g pdf:<br />
( )<br />
√<br />
( )<br />
<strong>Statistics</strong> <strong>for</strong> <strong>Decision</strong>-<strong>Mak<strong>in</strong>g</strong> <strong>in</strong> Bus<strong>in</strong>ess © Milos Podmanik Page 172