To illustrate this calculation, check the below sample code. These are inverse of each other in this particular sense. ppf() function calculates the normal distribution value for which a given probability is the required value. cdf() function calculates the probability for a given normal distribution value, while the. NOT ENOUGH EVIDENCE TO REJECT IT: p-value = ', p_value, ' Alpha = ', a ) Print('CANNOT REJECT THE NULL HYPOTHESIS. Print(' REJECT THE NULL HYPOTHESIS : p-value = ', p_value, ' Alpha = ', a ) #ppf = percent point function, inverse of CDF(comulative distribution function) #calculate the z_a/2, by using percent point function of the norm of scipy #case study : ball bearing example, claim is that radius = 3, do hypothesis testing and how to and when to use whichĪnd sorry for so many comments, just a habit of explaining everything for my future reference.(do point me out if any of my comments is wrong regarding the same) ball_bearing_radius = Please explain this to me, the difference between the two. If they really are, shouldn't this code work if i replaced ppf and cdf as 1/cdf and 1/ppf respectively? So i have pasted my complete code for your reference, i want to know what's the use of ppf and cdf here? can you explain it? i did some research and found out that ppf(percent point function) is an inverse of CDF(comulative distribution function)

.cdf files for trigonometry