Math 151, Day 41, Wednesday May 9, 2001  final ver.

I'll be on campus parts of Monday, Tuesday, and Wednesday--exact times later.  Help session Monday ?
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Procedures for standard deviations pp. 413-14.  In general, the classical procedures on sigma are NOT robust against deviations from normality.  So don't do them.  Look at pictures and make informal judgments.

Questions on HW?

Will do Friday:
Analysis of usefulness of Sample Test.

If time (there wasn't):  In-class work, review:
p. 424, # 7.68
p. 424, # 7.69, part b.
p. 426, middle--problems 74, 75, 76.  Plan out what you would do for each problem.

HW: Read Intro to 7.3 pp. 413-14.
Late hw's will be accepted (counted late but checked off) if they reach me by the time of the final.  I'll have the  list of hw marks Friday if you want to check up on what you're missing.
 

To hand in!  p. 424, # 7.68 p. 424, # 7.69, part b. p. 426, middle--problems 74, 75, 76. Don't hand in!  Optional Review problems:  These are not all-inclusive, but were picked to jog your memory and encourage integration of the course. Some you have done already and some you have not.  Some require SPSS--I won't ask you on the exam how to DO a problem in SPSS, but I may ask how to read your desired result off the SPSS output.  These probably are too many to actually do all of, but reading them may help in review.  You can also use them to construct a "practice" test--pick a haphazard selection and turn to the problem without noting what section it belongs to.  Solutions to all problems on reserve, + folder in Math Clinic. p. 41, 1.38.  Also: is this a sample or a population?  Explain.(solution*) p. 61, 1.58  p. 76, 1.89  p. 72, 1.80 (a good graph is hard--just get some idea of what it's like.  Note the data's already in order.)  p. 75, 1.84  p. 71, 1.78  p. 66, 1.71  p.92, 2.9  p.92, 2.9 &p. 156, 2.89 (wine consumption) also: Would we see a stronger or weaker relationship if we had data broken down further, into states, provinces, regions, instead of countries?  Explain.(solution**) p.128, 2.47  p.103, 2.21,  23,  26,  27,  28,  29  p. 126, 2.44  Also: fig. 2.13 p. 113 has a solid line for predicting velocity from distance.  Approximately what is the distance predicted from a velocity of 1.5 parsecs?  If you actually have a galaxy with such a velocity, do you expect your prediction to match the actual galaxy's distance very well? Explain. (solution***) p.129, 2.52a,b  p. 158, 2.91  p. 157, 2.90  p. 182, 3.17,  19,  20,   24,  31  p. 203, 3.57,  3.59  p. 207, 3.67  p. 206, 3.62  p. 229, 4.23  p. 235, 4.36 p. 254, 4.63  p. 360, 6.75,  78ab,  79ab,  81,  82,  83 p. 420, 7.60,  61  p.424, 7.70  p. 425, 7.71, also: do a time plot assuming the data was recorded in the order it was measured.  Any trend or drift?(solution****)

 * (population--all there are in this time interval)
**(p.131, bottom)
***(a little over 500. Not too- rsquare is  0.7842* 0.7842=.615, so only 62% of variability is explained by line--also, visual scatter shows it won't be a very accurate estimate of velocity.)
****(I see a weak drift--maybe his instrument drifted?)