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Inside this Book – Today, anyone who wants to analyze data can do it easily. Many user- friendly statistical software packages are made expressly for that purpose — Microsoft Excel, Minitab, SAS, and SPSS are just a few. Free online programs are available, too, such as Stat Crunch, to help you do just what it says — crunch your numbers and get an answer. Each software package has its own pros and cons (and its own users and pro- testers). My software of choice and the one I reference throughout this book is Minitab, because it’s very easy to use, the results are precise, and the soft- ware’s loaded with all the data-analysis techniques used in Stats II. Although a site license for Minitab isn’t cheap, the student version is available for rent for only a few bucks a semester. The most important idea when applying statistical techniques to analyze data is to know what’s going on behind the number crunching so you (not the computer) are in control of the analysis. That’s why knowledge of Stats II is so critical. Many people don’t realize that statistical software can’t tell you when to use and not to use a certain statistical technique. You have to determine that on your own. As a result, people think they’re doing their analyses correctly, but they can end up making all kinds of mistakes. In the following sections, I give examples of some situations in which innocent data analyses can go wrong and why it’s important to spot and avoid these mistakes before you start crunching numbers. Bottom line: Today’s software packages are too good to be true if you don’t have a clear and thorough understanding of the Stats II that’s underneath them.
Inside this book –Statistics II for Dummies PDF Book by Deborah Rumsey – In order to accomplish both of these important steps, you need to first plot the data in a pairwise fashion so you can visually look for a relationship; then you need to somehow quantify that relationship in terms of how well those points follow a line. In this section, you do just that, using scatterplots and correlations. Here’s a perfect example of a situation where simple linear regression is useful: In 2004, the California State Board of Education wrote a report entitled “Textbook Weight in California: Analysis and Recommendations.” This report discussed the great concern over the weight of the textbooks in students’ backpacks and the problems it presents for students. The board conducted a study where it weighed a variety of textbooks from each of four core areas studied in grades 1–12 (reading, math, science, and history — where’s statistics?) over a range of textbook brands and found the average total weight for all four books for each grade. The board consulted pediatricians and chiropractors, who recommended that the weight of a student’s backpack should not exceed 15 percent of his or her body weight. From there, the board hypothesized that the total weight of the textbooks in these four areas increases for each grade level and wanted to see whether it could find a relationship between the average child’s weight in each grade and the average weight of his or her books. So along with the average weight of the four core-area textbooks for each grade, researchers also recorded the average weight for the students in that grade.
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Statistics II for Dummies by Deborah Rumsey PDF : eBook Information
- Full Book Name – Statistics II for Dummies
- Author of this Book -Deborah Rumsey
- Language – English
- Book Genre – Science, Business
- Download Format – PDF
- Size – 6 MB
- eBook Pages – 413
- Price – Free