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Probability Density Function (PDF) vs Cumulative Distribution Function (CDF) The CDF is the probability that random variable values less than or equal to x Between 50 and 100). NOTE: Really, the NormalCDF calls the NormalPDF for many data values and ADDS all of the results up. NormalPDF gives us the percentage Normalpdf is bell shaped curve or normal distribution function itself and used to calculate probability at a given x or z value. Normalcdf is area of pdf Normalpdf finds the probability of getting a value at a single point on a normal curve given any mean and standard deviation. Normalcdf just finds the and the cumulative distribution function of the normal distribution are embedded in the TI-84 Plus commands normalpdf( and normalcdf( respectively.Use the normalcdf function to find the area under the curve when two. “bounds” are known. upper bound, the mean, and the standard deviation. Example 1.