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10       Part I: Tackling Data Analysis and Model-Building Basics



                                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.




                                          Remembering the old days

                        In the old days, in order to determine whether   The good news is that statistical software pack-
                        different methods gave different results, you   ages have undergone an incredible evolution in
                        had to write a computer program using code   the last 10 to 15 years, to the point where you
                        that you had to take a class to learn. You had   can now enter your data quickly and easily in
                        to type in your data in a specific way that the   almost any format. Moreover, the choices for
                        computer program demanded, and you had to   data analysis are well organized and listed in
                        submit your program to the computer and wait   pull-down menus. The results come instantly
                        for the results. This method was time consum-  and successfully, and you can cut and paste
                        ing and a general all-around pain.    them into a word-processing document without
                                                              blinking an eye.













          05_466469-ch01.indd   10                                                                    7/24/09   9:30:46 AM
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