Warning: This is the Bomb PRESENTATION Surgeons general Warning: Quitting this presentation now, greatly reduces risk to exposure to SWEETNESS BABBY

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Warning This is the Bomb PRESENTATIONSurgeons
general Warning Quitting this presentation now,
greatly reduces risk to exposure to SWEETNESS
BABBY

• Enter at your own risk. Not recommended For
  people with heart problems or young children.

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The Normal Distributions

• Chapter 2

By Paul Fedorko
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Density Curves

• A curve that
• is always on or above the horizontal axis, and
  has an exactly 1 underneath it.
• A density curve describes the overall pattern of
  a distribution. The area under the curve and
  above any range of values is the proportion of
  all observations that fall in that range

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A density curve is often an adequate description
of the overall pattern of a distribution. It
does not describe outliers. The curve an
approximation, that is easy to use and accurate
enough for practical use.
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• The median of a density curve is the equal areas
  point, the point that divides the area under the
  curve in half.

• The mean of a density curve is the Balance Point,
  at which the curve would balance if made of solid
  material. They are the same in a symmetric
  density curve.

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Empirical Rule
Mean ? Std ?

• In the normal distribution with mean ? and
  standard deviation ?.
• 68 of the observations fall with 1 ? at the
  mean.
• 95 2 Std
• 99.7 3 Std

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Percentile - Percent of the distribution that is
at or to the left of the observationz test
statistic z x - µ ?
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Steps to find Normal Proportions

• State the problem in terms of the observed
  variable x.
• Find z score. Draw a picture to show the area
  under the std curve.

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Normal CDF Calculator Key Strokes

• 2nd/Distr/2normalcdf(left bound,right
  bound,mean, Standard deviation)

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Normal Distribution curve
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Skewed distribution
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The end

• My jank is the shznet forezl. Stats rules baby.
  Norview 4 life. This presentation is bangin for
  real.