Quantitative Analysis Chapt 5(3)

Cumulative Distribution Functions is a cuulative view of probability distribution, It takes a probability mass funciton, such as a bell curve. The common question is asked what is the prbability that the outcome is less than or equal to that value? the normal curve tells you what the probability is for a given outcome. The cumulative distribution function (cdf)completely decribeds the prbability distribution of a real valued random variable. A CDF captures the range of possible outcomes of many valued uncertain quantities. CDF plots display exactly the sme iformation as do histograms. The difference is that the histogram values are summed as the fluorescence intensity increases, thus, the CDF begins at 0% and ends at 100%. CDF plots are extremely useful for quickly finding the fluorescence of a distribution corresponding to any given percentile. The sample plot below shows how to find the numbes.