Normal Probability Plot Definition. The normal probability plot is a special case of the probability plot. Normal Probability Plot The normal probability plot is a graphical technique for normality testing. The normal probability plot is a plot used to assess the normal distribution of any numerical data. The above f our.
The normal probability plot is a special case of the QQ probability plot for a normal distribution. Making a histogram of your data can help you decide whether or not a set of data is normal but there is a more specialized type of plot you can create called a normal probability plot. To find the area to the right calculate. The normal probability plot is a plot used to assess the normal distribution of any numerical data. A normal probability plot can be used to determine if the values in a dataset are roughly normally distributed. A normal probability plot graphs z-scores normal scores against your data set.
If the line is skewed to the left or right it means that you do not have normally distributed data.
In other words a normal probability plot is a graphical technique to identify substantive departures from normality. Probability plots may be constructed for any distribution although the normal is the most common. The use of a normal probability plot allows a slightly more rigorous test of the normality assumption. Sample Plot The points on this plot form a nearly linear pattern which indicates that the normal distribution is a good model for this data set. A normal probability plot can be used to determine if the values in a dataset are roughly normally distributed. The normal probability plot is a special case of the QQ probability plot for a normal distribution.