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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

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