Math 151 , Spring 2005,  Day 22 Monday March 28 Hit reload ...

I am sick today.  I expect to be well by Wednesday.  Please read today's page, go over the Sample exam in class  (all but 7d), working together in 2's, 3's or 4's, self selected.  My solutions will be available Wednesday.  Any more time?  Look at the Review part III problems (in the Read, to discuss HW column today.)
Sample exam 2 available (linked here) & outside my door. (Actual exam would be 5 pages, probably) Solutions outside my door and on reserve on Wednesday.
Block designs (Randomized block and Matched pairs) will not be asked about specifically on the exam. The only part on the Sample Exam using these ideas is 7d.  It'll help your understanding in general to read about them in the text; also read rest of  Day 22's webpage.

--SPSS sampling quirk.  It gives you the same samples each time if you start from opening SPSS.  It starts from the same fixed  "seed" each time. (D&V p.217 bottom).  (Like always starting at line 20 of the random number table).  From there, it seems to keep on reading from where it left off, each time you do a new analysis requiring random numbers.  How to get "different" numbers?
At the
beginning of your session:   Do Transform> Random number seed>    Make sure Random Seed is selected, and click OK.   This does the equivalent of closing your eyes and putting your finger on the random number table page, to start with.
(Without your clicking OK, it starts with seed 2,000,000. ) Now you (and others) will get a different sequence of random numbers/samples even though you open SPSS and do exactly the same thing.  You only need to do it once, to start each SPSS session. 
  More here.

Exam 2 this Friday (Day 24, Apr.1).  Covers thru today's HW (but no more than Part III).  Let me know by Wed. if you need a special time to take the exam.
How much computational detail from part II?  You don't need to know the formula for the correlation coefficient, but you should be able to guess roughly the r from a scatterplot, and know and use the properties pp.121-2.You will need to know, among other things,  how to find b0 and b1 from the means, standard deviations, and r of the x-and y-values,  and to give the formula for the regression line, (like 17, p.154); and to graph the regression line on top of the scatterplot.  Also find by hand the value that the line predicts for a particular x.  You should be able to identify and calculate the residual value for a particular x-y point as its vertical distance from the line (negative if the point is below the line), and identify and understand potential influential points.  You should know  that the regression line goes through the point given by the two means, and that the  regression line "rises" r standard deviations in y for each standard deviation increase in x (pp. 137-8); also that the regression line of "weight" on "height" is not the same line as the regression line of "height" on "weight" . You should be able to describe verbally the meaning of R2 in the context of a data set.

Day 22 (Mon. March 28): Reading: D&V Ch 12, 13. Review part III p. 262.  AS13.  Bring questions; Parts II and III 
    Next, D&V Part IV: Ch. 14, Ch.15 thru p.  291 (then Ch. 18 &on.) ActivStats is very good for part IV--Ch11 shows Law of Large Numbers as D&V express it. Ch14, 15 correspond well with the text and present very good examples.
Hand in 
Chapter 13, p257ff.
 1,2,4,5,6,10,11,12 You did the "observational study" ones, and started the "experiment" ones. Finish these for those that are experiments, for all that are Completely Randomized, & add 17 (postpone 18) . 
32 Shingles  a,b,c (postpone d)
36 Washing clothes 

From Review part III, p. 263ff.
26 Laundry
34 Pubs

A. Do the Chart experiment-- ActivStats 13-3, first activity.  Save your data with your name on the file, remembering where you saved it.  Do the next two SPSS activities, on that page. (One error in the tutorials: Your files are NOT of type .txt; they are of type .dat.  Safest--use "all files" to locate them.)  Hand in the graphs you made, writing what results you see and whether you think they are "statistically significant".

B. REDO the assignment on the handout Using SPSS to find a Simple Random Sample, this time doing Transform> Random number seed>    Make sure Random Seed is selected, and click OK. first.  Also: Find the mean  duration, for your sample, and for the whole set..   Bring to class to pool your results.     More here on seeds.  


Read,
  to 
discuss 
 
 

Review
Part III:
p. 263 ff:
1 thru 
17 odds,
 +12, 18

 


Op-
tion-
al 

Homework questions? Day 21
Chapter 13: Experiment: Continue Day 21   Brief summary:   All about avoiding BIAS
Principles of designing a comparative experiment (p. 243)

Results:  Measure differences in the response variable for different treatments 
 "Statistically Significant" differences--too big to have plausibly occurred by chance
(The page I planned to use today before falling ill--if you're looking ahead.)

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