KINE 2050 Chapter Notes - Chapter 5: Binomial Distribution, Fallacy, Frequency Distribution
Document Summary
The quantitative expression of the likelihood of the occurrence of an event. When applying sample/statistics to population/parameters, we can never be 100% sure we usually estimate hence, we need to know the probability of our estimate being correct. E. g. , if there is a 25% chance of rain, what does this mean: it means that if the current conditions were repeated 100 times, it would rain 25 out of those 100 times. Probability = proportion of times an event will occur when all conditions are reproduced a large number of times: ratio of frequency of occurrence to total number of different possible outcomes (e. g. 25/100 = 25%) Probability has a numerical range of 0 to 1: percentage used in casual language, decimal or fraction used in statistics, notation uses lowercase p: Possible if all possible outcomes and their relative likelihoods are known.