…t data that said 30 people out of a potential 100 actually bought ice cream at some shop somewhere. So my P(A = ice cream sale) = 30/100 = 0.3, prior to me knowing anything about the weather. This is how Bayes’ Theorem allows us to incorporat…
How can P(A=ice cream sale) value exist without a given weather condition? Do we assume an annual average value? How did data tell me that P(A) = 0.3, isolating the weather from the calculation?
I assume that we need to have data from a store selling ice cream above the atmosphere with no weather conditions?