By Dr. Phillip I. Good, James W. Hardin(auth.)
Chapter 1 resources of blunders (pages 1–11):
Chapter 2 Hypotheses: The Why of Your study (pages 13–25):
Chapter three gathering info (pages 27–43):
Chapter four Estimation (pages 45–56):
Chapter five trying out Hypotheses: determining a try out Statistic (pages 57–85):
Chapter 6 Strengths and boundaries of a few Miscellaneous Statistical strategies (pages 87–100):
Chapter 7 Reporting Your effects (pages 101–117):
Chapter eight analyzing studies (pages 119–124):
Chapter nine snap shots (pages 125–144):
Chapter 10 Univariate Regression (pages 145–162):
Chapter eleven trade equipment of Regression (pages 163–173):
Chapter 12 Multivariable Regression (pages 175–186):
Chapter thirteen Validation (pages 187–194):
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Additional resources for Common Errors in Statistics (and How to Avoid Them), Second Edition
At the beginning of the study, the decision was made to group the incomes of survey subjects into categories: under $20,000, $20,000 to $30,000, and so forth. Six years of steady inflation later and the organizers of the study realized that all the categories had to be adjusted. ) The problem was that those surveyed toward the end had filled out forms with exactly the same income categories. 1 Equivalent Purchasing Powers Over Time Using Consumer Price Index Calculations. Each year shows the cost of the equivalent goods/ services.
Good and James W. Hardin. Copyright © 2006 John Wiley & Sons, Inc. CHAPTER 3 COLLECTING DATA 27 analysis of the collected data prove to be erroneous. You will need to decide what you wish to observe and measure, and how you will go about observing it. Good practice is to draft the analysis section of your final report based on the conclusions you would like to make. What information do you need to justify these conclusions? All such information must be collected. The next section is devoted to the choice of measuring devices, followed by sections on determining sample size and preventive steps to ensure your samples will be analyzable by statistical methods.
Similarly, where we locate the zero point of our scale should not affect the conclusions. Finally, if our observations are independent of the time of day, the season, and the day on which they were recorded (facts that ought to be verified before proceeding further), then our estimators should be independent of the order in which the observations were collected. Consistency Estimators should be consistent, that is, the larger the sample, the greater the probability that the resultant estimate will be close to the true population value.
Common Errors in Statistics (and How to Avoid Them), Second Edition by Dr. Phillip I. Good, James W. Hardin(auth.)