Descriptive and Inferential Statistics

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Descriptive and Inferential Statistics PSY/315 Descriptive and Inferential Statistics Statistics play a vital role in research performed today with the means of organizing data into measurable forms and groups. It helps give a better understanding to the collected data in the experiment; it can be analyzed and interpreted. The data is often expressed by using graphs and charts of different types in which there are two; descriptive and inferential statistics. Descriptive describes the data and inferential makes inferences from the data. Statistics is a very important part of research, without it there is very little room for validation. People often use statistics in all social classes and ages. From infancy we become part of a statistic based on our size and race, through our intelligence levels, test scores and through our career choices, political parties, and other aspects of life. Statistics are used for a variety of reasons. Pre-election surveys in a Presidential election are a great example of the different functions of statistics. Getting a list of every voter in the country on who they plan to vote for would make it extremely difficult to know the totals for each candidate. However; if this information is turned into a graph and percentages for each state may change the statistics. Once the information is turned into statistics it helps us hypothesize who is going to be the next President. Pre-polls also help categorize what states are voting for which candidate. Once the political parties know which states are not voting for them they can spend more time finding out why and trying to help win over a specific state. Political parties can evaluate the percentages of each state to decide if a state is worth trying to win over. For example if a candidate only received 5% of Indiana’s votes and only 45% of Tennessee’s votes they could evaluate this
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