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.

Lab 9

Using Excel is a great way to organize and present data. Excel is an efficient software tool that lets you display your data in tables, charts and graphs. It uses linear aggression to predict where a variable would be placed in a given circumstance. While it cannot accurately predict where the variable will be placed 100% of the time, it is still useful and gives a good estimate about where to expect the variable to be placed. Excel is also a good spreadsheet to use because it has many functions that let you manipulate data in several different ways. Inductive modeling is important and useful because it helps understand a large quantity of data. Inductive modeling helps people solve the unknown and predict future outcomes. Inductive modeling is similar to the Hertz model because both methods predict future outcomes, and then they study the actual outcomes. Inductive modeling is very useful in the real world because many jobs require the study of statistics. Excel is widely used in many different careers because it works efficiently.