A normal probability plot provides an assessment of whether a normal distribution model fits a data set well. It involves arranging data from smallest to largest, finding the percentile and z-score for each value, and plotting the data points against their z-scores. The closer the plot forms a straight line, the better the normal model fits the data.
2. Normal Probability Plot
•Normal Probability Plot - provides a
good assessment for using the Normal
model on a set of data
•Arrange data from smallest to largest
•Record the percentile of the data for each value
•Use the Normal Distribution table to find the z-scores
•Plot each data point (x) against its z-score
•The straighter the line, the better fit the Normal model is
3. Video of Normal Probability Plot
View the TI-Nspire video of how
to construct a Normal Probability
