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1. Exploratory Data Analysis
1.3. EDA Techniques
1.3.3. Graphical Techniques: Alphabetic Normal Probability Plot

Normal Probability Plot: Data are Skewed Right

Normal Probability Plot for Data that are Skewed Right normal probability plot for data that are skewed right
Conclusions We can make the following conclusions from the above plot.
  1. The normal probability plot shows a strongly non-linear pattern. Specifically, it shows a quadratic pattern in which all the points are below a reference line drawn between the first and last points.
  2. The normal distribution is not a good model for these data.
Discussion This quadratic pattern in the normal probability plot is the signature of a significantly right-skewed data set. Similarly, if all the points on the normal probability plot fell above the reference line connecting the first and last points, that would be the signature pattern for a significantly left-skewed data set.

In this case we can quite reasonably conclude that we need to model these data with a right skewed distribution such as the Weibull or lognormal.

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