How do I calculate the z score of a p-value and vice versa? For example if I have a p-value of 0.95 I should get 1.96 in return. I saw some functions in scipy but they only run a z-test on an array. I have access to numpy, statsmodel, pandas, and scipy (I think). From past experience I am aware that z-beta for a power of 90% is 1.282 and z-beta for a power of 80% is 0.842. However, I am not sure what z-beta is for a power of 70%. I would love to use this for my study as well and also would am curious as to if anyone can provide a table for these values or a way to find this in R. Thanks! Boeser scores twice, Canucks beat Oilers 5-3. Brock Boeser scored twice, including the winner, as the Vancouver Canucks beat the Edmonton Oilers 5-3 on Wednesday night. 1. How is the Z Score Used? The z-score and table allows you to compare the results of a test or survey to a "normal" population (i.e. the mean). Look down the left-hand side column to find the one decimal place z-score (1.5) and then look up the second decimal place along the top of the table (.09).