Lab 10

Both Hartley and Shannon measure amounts of information in order to remove uncertainty. The difference between the two measures is that Shannon measures the average amount of information and accounts for the probablity of occurrence, while Hartley just measures the information outright from raw data without accounting for averages or probability. Hartley's method is more likely to be inconsistent or inaccurate because it does not account for the probability that something may never happen. Hartley measures information with a specific equation: H(A)=log2A, where A = the # of possibilities that can be made from the given information.