Page 35 - Statistics for Dummies
P. 35

Chapter 1: Statistics in a Nutshell
                                                    population. For example, a politician may claim that 80% of the people in her
                                                    state agree with her — is that really true? Or, a company may claim that they
                                                    deliver pizzas in 30 minutes or less; is that really true? Medical researchers
                                                    use hypothesis tests all the time to test whether or not a certain drug is effec-
                                                    tive, to compare a new drug to an existing drug in terms of its side effects,
                                                    or to see which weight-loss program is most effective with a certain group of
                                                    people.
                                                   The elements about a population that are most often tested are
                                                     ✓ The population mean (Is the average delivery time of 30 minutes really
                                                        true?)
                                                     ✓ The population proportion (Is it true that 80% of the voters support this
                                                        candidate, or is it less than that?)
                                                     ✓ The difference in two population means or proportions (Is it true that
                                                        the average weight loss on this new program is 10 pounds more than
                                                        the most popular program? Or, is it true that this drug decreases blood   19
                                                        pressure by 10% more than the current drug?)
                                                    Hypothesis tests are used in a host of areas that affect your everyday life,
                                                    such as medical studies, advertisements, polling data, and virtually anywhere
                                                    that comparisons are made based on averages or proportions. And in the
                                                    workplace, hypothesis tests are used heavily in areas like marketing, where
                                                    you want to determine whether a certain type of ad is effective or whether a
                                                    certain group of individuals buys more or less of your product now compared
                                                    to last year.
                                                    Often you only hear the conclusions of hypothesis tests (for example, this
                                                    drug is significantly more effective and has fewer side effects than the drug
                                                    you are using now); but you don’t see the methods used to come to these
                                                    conclusions. Chapter 14 goes through all the details and underpinnings of
                                                    hypothesis tests so you can conduct and critique them with confidence.
                                                    Chapter 15 cuts right to the chase of providing step-by-step instructions for
                                                    setting up and carrying out hypothesis tests for a host of specific situations
                                                    (one population mean, one population proportion, the difference of two pop-
                                                    ulation means, and so on).
                                                    After reading Chapters 14 and 15, you’ll be much more empowered when you
                                                    need to know things like which group you should be marketing a product
                                                    to; which brand of tires will last the longest; whether a certain weight-loss
                                                    program is effective; and bigger questions like which surgical procedure you
                                                    should opt for.











                                                                                                                           3/25/11   8:18 PM
                             05_9780470911082-ch01.indd   19                                                               3/25/11   8:18 PM
                             05_9780470911082-ch01.indd   19
   30   31   32   33   34   35   36   37   38   39   40