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Inside this Book – In the old days, in order to determine whether methods gave different results, you had to write a computer program to do it, using code that you had to take a class to learn. You had to type in your data in a specific way that the computer program demanded, and you had to submit your program to a mainframe computer and wait for the printer to print out your results. This method was time consuming and a general all-around pain. I remember the day in college when I reached bottom. I was just learning to write those sophisticated programs you needed to do the simplest analysis. No matter how hard I tried to write the perfect program, the computer kept spitting my work back at me without doing my analysis, noting error after error in the way I typed the commands. The last straw came when I gave my program to the computer for the umpteenth time: At the end of the printout, the computer told me on the very last line: “Error #34410: Too many errors.” Now, don’t get the idea that your author doesn’t know what she’s doing. I had all the statistical methods right; I just wasn’t very good at writing computer programs. So for anyone out there who’s ever been frustrated by a computer, I feel your pain, and I try to minimize your troubles throughout this book. Enough lamenting about having to walk to school uphill both ways in the snow with plastic bags on my feet instead of boots. The point is, statistical software packages have undergone an incredible evolution in the last 10 to 15 years, to the point where you can now enter your data quickly and easily in almost any format.
Inside this book –Intermediate Statistics for Dummies PDF Book by Deborah Rumsey – Before looking ahead to predicting a value of y by using a value of x, you need to first establish that you have a legitimate reason to do so by using a straight line, and you also need to feel confident that using a line to make that prediction will actually work well. In order to achieve 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 “Text- book Weight in California: Analysis and Recommendations.” In this report, they discussed the great concern over the weight of the textbooks in student’s back- packs, and the problems it presents for students. They conducted a study where they weighed a variety of textbooks from each of four core areas studied in grades 1 through 12 (reading, math, science, and history — where’s statis- tics?) over a range of textbook brands and found the average total weight for all four books for each grade. The California Board of Education consulted pediatricians and chiropractors, who recommended that the weight of a student’s backpack should not exceed 15 percent of his 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 they could find a relationship between the average child’s weight in each grade and the weight of his books. So along with the average weight of the four core-area textbooks for each grade, they also recorded the average weight for the students in that grade.
Intermediate Statistics for Dummies by Deborah Rumsey PDF : eBook Information
- Full Book Name – Intermediate Statistics for Dummies
- Author of this Book -Deborah Rumsey
- Language – English
- Book Genre – Science, Non-Fiction
- Download Format – PDF
- Size – 13 MB
- eBook Pages – 387
- Price – Free