- Do #19 and #20 in section 10-3
- Do #19 and #20 in section 10-4
- Do #1 in Data Analysis, pg 543
- Work on your project
**last test**sometime near the 28th

- Read chapter 10, on correlation and regression
- No written assignment this week - work on your projects.

- Read
- two-way anova, pg 600-608
- more 2-way reading online; see chapter 16 in Vassar stat text

- Note that in Excel, this is "Anova: 2 factor with replication".
Excel expects that
*the selected rectangle includes labels*i.e. A=1, B=1, etc. in the following 3x3 example with 2 rows per sample. In other words, in the first column, the numbers (2,1) are both independent measures of the effect when the factors A and B are both 1.A=1 A=2 A=3 B=1 2 10 50 1 12 47 B=2 4 8 52 5 9 45 B=3 7 6 40 10 8 44

- Note also that the vassar online tools will do 2-way anova, with a few variations depending on pairing between samples, so that's an alternative to Excel. It'll even given the "which column or row is different", though it won't do plots.
- Do
- pg 609 and 610, #11 and #15.
- for both of these, find not only the p-value for main effect and interactions, but also sketch any plots appropriate to understanding what's going on.

- Read
- F-test : pg 444-450
- one-way ANOVA : pg 584-593 (k groups)

- Do
- pg 450, #11
- pg 616, #5
- pg 617, data analysis, #1 or #2

- Do
- Study for
**Test 2**through chap 9, time TBA - Submit a project proposal : ask a question, acquire some data, and analyze it. It'll be due near the end of the term.

- Study for

- Note: no class Tues March 1
- Read
- chapter 9 in
*Elementary Statistics*, the parts on comparing means and proportions for small/large and paired/unpaired samples.

- chapter 9 in
- Do
- pg 486-487, Exercises 11, 13
- pg 487, Data Analysis #3

- Note: no class Tues March 1
- Read
- chapter 9 in
*Elementary Statistics*, the parts on comparing means and proportions for small/large and paired/unpaired samples.

- chapter 9 in
- Do
- pg 486-487, Exercises 11, 13
- pg 487, Data Analysis #3

- Read
- chapter 8 in
*Elementary Statistics*, on hypothesis tests

- chapter 8 in
- Do
- pg 388, #9 and #17
- pg 405, #11

- Read
- chapter 7 in
*Elementary Statistics*, on confidence intervals and the student's t-distribution

- chapter 7 in
- Do
- pg 336, # 17, 19
- pg 350, #15
- pg 361, #2, 11
- pg 344, #7, 9
- because of the test, I'll

**Test Sat/Sun 19/20**on chapter 1-7- Pick it up from my office door, do it, put it under the door.
- Closed book, don't talk to others.
- One sheet of notes, calculator or computer for calculations

- Read
- chapters 5 and 6 in
*Elementary Statistics*, on the binomial and normal probability distributions

- chapters 5 and 6 in
- Do
- pg 248, numbers 7, 13, and 25.
- Chap 5 review exercises, pg 263 and following, numbers 11 (and sketch a plot of p(x)) and 19.
- pg 319, numbers 5 and 13.
- One more coming ... a dice experiment that I'll describe on Tuesday.

- Read
- chapters 3 and 4 in
*Elementary Statistics*

- chapters 3 and 4 in
- Do
- Find the mean and standard deviation for the data in exercises 1 and 5 pg 159, chapter 3. Which formulas are you using? Why?
- Also do problems 13 and 17 on page 160.
- Check out the data files at CMU's
Data and Story Library.
For a data set of your choice,
- Construct a histogram.
- Find the mean and standard deviation.
- Find how much of the data is within 1 standard deviation of the mean
- and how much is within 2 standard deviations of the mean.

- OK, finally a few probability questions.
- Explain what we mean by the following, and why : the probability of A or B is P(A) + P(B). What assumptions are being made? What does this notation mean?
- Explain what we mean by the following, and why : the probability of A and B is P(A)* P(B). Again, what assumptions are being made?
- Do these exercises from chapter 4, pg 219 and following: 9, 25, 39

- Read
- chapters 1 and 2 in
*Elementary Statistics* - Read chapters 5 and 6 in
*How to Lie with Statistics*

- chapters 1 and 2 in
- Do
- Exercises 14 and 24 from chapter 1 on pgs 27,28
- Number 3 on pg 30. Discuss the pros and cons of what's a "cause" and what's a "correlation" here. What details of the study would you want to hear about to decide whether piano lessons cause math profiency?
- Plot two sets of data on a histogram, using Excel.
- Exercise section 2-2, #11 on pg 43
- Data Analysis 1 on pg 89

last modified Monday May 23 2005 2:14pm EDT