- Bring your lab manual to class.

- Read the course syllabus and make sure that you understand all course policies.
- Read sections 1-4 of the class notes and answer all questions in these sections as well as you can. (You may wish to write down your answers but you will not need to turn them in.)
- Review the activity of Thursday (R lab) so that you are comfortable with the R functions introduced there. You might want to review the two-minute tutorials 3,4,5,6,7.

- Read sections 5-6 of the class notes and answer all the questions in these sections as well as you can.
- Review the activity of Friday and in particular make sure that you can read histograms and boxplots (i.e., what numerical information do they convey) as well as describe how these graphs provide models of the data. The Engineering Statistics Handbook that is online at NIST has good succinct descriptions of boxplots and histograms.

- Read sections 7-8 of the class notes and answer all the questions in these sections as well as you can.
- This applet allows you to draw your own line of best fit and compare it to the regression line. It compares the sum of squared residuals and also the sum of absolute residuals. Try it out.
- watch this Khan Academy video which sets up the problem of least squares regression. These Khan Academy videos (video 1 , video2, video3, video4) develop the formula for the slope and intercept of the least-squares line using calculus. You don't have to watch them but you do so if you are interested in where the formula for the line comes from.
- Review the steps we used in modeling the Idaho wind speed data. Be sure that you know how to use R to investigate properties of the Weibull density.

- Read sections 9 and 10 of the class notes and answer the questions in Section 10.
- Investigate the notion of sampling distribution using this applet (this is the what the questions of Section 10 ask you to do).
- Review sections 1--8 of the notes and make sure that you can now answer all the questions in them.
- Class starts on this day at 10:40. Remember not to come at 8:30!

- A take-home exercise on the Weibull serves as Quiz 2.
- Read sections 11 and 12 of the notes and answer the questions in the sections.

- This webpage has a series of lessons on probability. Work through them all. They are intended for high school students so they should be fairly simple. I'm not intending to insult your intelligence here but this is an easy way for you to learn some terminology and basic principles --- I am most interested that you understand completely the following notions: mutually exclusive events, independent events, dependent events, conditional probability. This page covers some of the same ground and introduces the helpful technique of drawing trees.
- Read Section 13 of the notes and answer the questions.

- Read sections 14 and 15 of the notes.

- Project 1 is due.
- Read Section 16 of the notes and answer the questions. This is a long section but one that has a considerable payoff. Read it carefully and actually execute the R commands as you go.

- Read the first five pages of these notes and this example with real data.
- Read the following sections of the online Engineering Statistics Handbook maintained by NIST
- Introduction to process modeling (4.1)
- What is process modeling? (4.1.1)
- terminology of process modeling (4.1.2)
- What are process models used for (4.1.3)
- Linear least squares regression (4.1.4.1)

- Read Section 17.

- Reread the notes on sums of squares --- (these notes and this example with real data).
- Read the following notes on measurement error: Uncertainty of measurement (NIST) Read all the sections in the essentials section except for the section titled "combining uncertainty components" (we'll do that later)
- Think of examples of measurements that you made in physics and engineering labs. What kinds of type A and type B determinations of uncertainty did you use? For example, if you used a very precise scale, what did you report as your uncertainty and why? Similarly, what it you timed the length of a ball drop?

- Read Sections 18 and 19 and answer the questions in those sections.
- Project 2 is due today.

- It is not traditional to use lm to make inferences about one mean or about the differences between two means. We'll look at the traditional approach on Tuesday (so that you can understand the language of this approach). In preparation, you can read the first page of the paper by "Student" who is responsible for the traditional approach.
- Begun studying for the exam in the following way. Review what we did each of the first 13 days. Make sure that you know the important terminology and know how to interpret the statistical analyses that we performed in R. A brief summary of what is to be on the exam and what we did each day is here.