Analytic Assessment of the 1992 and 2000 Presidential Electi

With respect to what generally determines whether a presidential candidate wins or loses. A certain number of variables can be studied using statistical analysis to receive that information. Those who understand why statistics are important stand a better chance at hypothesizing which candidate will win or lose without a biased qualitative reason behind it. Therefore it is essential if one wishes to make a good hypothesis on who could win that they correctly understand what is important in an election.

The factors that determine a presidential election are mainly made up of accepted relevant topics. Furthermore they bring to light actual data that can be examined and compared as in the differences between the 1992 and 2000 elections. The main focal point of this document will be to examine the relevance of party identification, approval ratings, the economy, and race. By examining these data sets the contingency will be to point out mainly the obvious of what was found. After which an explanation will be formulated on as to how these factors possibly decide the outcome of an election.

By using the 1992 and 2000 elections respectively, the plan is

The variables that were discussed offer tremendous insight into what affects elections. They are each important in that they uniquely characterize voters, however it should be clear that party identification is by far the most important of all of these. Attention should be paid to these statistics they are an excellent way in which a rational hypothesis of who will win an election can be contrived or achieved at. In addition they bring to light one dimension of logic which deals with inductive logic or probabilities.

The data that was used to create this document came from the esteemed University of Michigan’s Survey Research Center using the SPSS (Statistical Program for the Social Sciences). The data was set up by cross tabulating for the different parties. In addition to cross tabulating it was set up by rows representing where the majority of all votes came from.

Some topics in this essay:
Clinton Gore, Elections Introduction, Compared Clinton, Gore Gore, Looking Table, Blacks Hispanics, Ross Perot, Identification Party, Bush Clinton, Approval Ratings, percent total, percent total vote, total vote, 2000 election, percent voted, voted bush, economy worse, table 3, party identification, percent votes, approval ratings, percent voted bush, 88 percent votes, voters approved clinton, bush whereas democrats,