# Statistics 401 A XM Reading Assignments

### The Statistical Sleuth : A Course in Methods of Data Analysis, 2nd Edition, by Ramsey and Schafer

Before Wednesday, August 27
Read the first page and a half of the Preface. Also read pages 1 through 15 of Chapter 1. Many of these concepts are likely to seem new to you even if you have recently taken a statistics course. There are several important ideas in this material. Section 1.3.2 is particularly important. Click here to see a simple example that might help you better understand the mechanics of computing a p-value for a randomization test.

Before Friday, August 29
Read pages 15 through 22. Also read the Conceptual Exercises on pages 22 through 24. You should be able to make a rough histogram, a stem-and-leaf diagram, and a boxplot by hand if given a simple set of data. You should be able to compute a five-number summary, average, and standard deviation for a set of numbers.

Before Wednesday, September 3
Read pages 28 through 37. These pages are packed with a lot of important concepts. Try hard to understand everything. This will take awhile.
• Note that in Display 2.6 there should be an n under the square root sign in step 2.
• Many students want to know why we look up 0.975 in the t-table as part of the computation of a 95% confidence interval. After you have done the reading, click here to see a somewhat technical explanation.

Before Friday, September 5

Before Monday, September 8
Read pages 37 through 51. In Diplay 2.10 on page 44, the bubble that says "From Display 2.7" should read "From Display 2.8".

Before Wednesday, September 10

Before Friday, September 12
Read pages 56-68. Pay particular attention to the concepts covered in Displays 3.4 through 3.7.

Before Monday, September 15
Read pages 68-76. On page 70 after "(and since the log preserves the ordering)" the equation should read Median[log(Y)]=log[Median(Y)].

Before Wednesday, September 17

Before Friday, September 19
• You can see a primer on factorials and combination numbers by clicking here.
• The text describes a permutation test for the O-ring data that uses the two-sample t-statistic. In class we will see how the same result can be obtained using the difference in sample averages as the test statistic rather than the two-sample t-statistic. Using the difference in sample averages rather than the t-statistic is simpler and valid; however, the results for the two approaches are not always the same.
• We will not discuss the Welch t-test or the Satterthwaite approximation for degrees of freedom in class. Those of you taking Stat 402 will see the Satterthwaite method for approximating degrees of freedom next semester. SAS's proc ttest automatically provides output for the Welch t-test under the output for the pooled t-test that we have discussed extensively.

Before Monday, September 22
Read pages 99-105. Please read the Conceptual Exercises and their solutions also. We will not discuss Section 4.5 in class. Sections 4.5.1 and 4.5.2 are important. It is also good to know about the material in Sections 4.5.3 and 4.5.4, but I will not ask you any questions about this material in homework or exams.

Before Wednesday, September 24
Begin your review for Exam 1 which will take place in the lab on September 29. Exam 1 covers material discussed in Chapters 1 through 4 of the text.

Before Wednesday, October 1

Before Friday, October 3
Read Sections 5.5, 5.6.1, 5.6.4, and 5.7. When reading 5.7, don't worry about the details of the Spock trial study. Also try Conceptual Exercises 2-4 and 7-12. Note that we are skipping a few sections including Section 5.6.2. Section 5.6.2 talks about a rank-based method that is a generalization of the rank-sum test to the case of more than two groups. I want you to know that such a method exists in case you ever need to use it in your research, but we won't work with it in 401 this semester.

Before Wednesday, October 8
Please read pages 149-159. You may skip the subsection on Comparing Rates.

Before Monday, October 13
Please read pages 159-169. Try to understand the reason for using the Tukey or Tukey-Kramer procedure. Don't worry about the details of carrying it out (e.g., ignore the stuff about tables and q-values). We will learn how to get Tukey and Tukey-Kramer confidence intervals and adjusted p-values using SAS. I won't expect you to know Scheffe's procedure or about any of the procedures described in the Others subsection.

Before Wednesday, October 15
Please read the handout that we will discuss in class on Wednesday.

Before Wednesday, October 22
Please read pages 174 to the middle of 182. The case studies are more complex than I would like, so do not be concerned about understanding everything about the case studies. Focus more on the concept of linear regression and the least-squares regression line.

Before Monday, October 27
Please read pages 182 through 196. Don't worry about the "computer centering trick" discussed on the bottom of page 187 and the top of 188. Also you will not be asked any questions about Section 7.4.4 on calibration.

Before Wednesday, November 5
Please read all of Chapter 8 including the Conceptual Exercises. Note that your text reverses the X and Y axes of normal probability plots relative to the way SAS makes normal probability plots.

Before Friday, November 7