Math 151 , Day 38, Monday, Dec. 3, 2001 before class.

In the Computer Lab with SPSS:  Go through handout "Statistical Inference (Ch.7--7.1)",
Learn to compute and read: Table values; One-variable t procedures; Matched pairs by taking the difference or by using SPSS's Paired Samples option.
Notes to the notes:
--When I pulled in the Excel file for Cola (SPSS p. 97, eg07_02), it rounded to whole numbers.  Use Variable view and change the decimal places to 1 or 2.  Similar problem with the Mozart scent file
--If you bring in Excel files, note there are No file names in the first row.  Be sure to uncheck that box.
--You can drag borders of tables to make them fit better (as I did for the handouts).

 Sec. 7.2, comparing 2 means.
Handout, Two-sample t procedures ...two independent samples (how to do it on SPSS)
The homework involving this is up, Day 39
You can go ahead and get the SPSS output you need, now...
How to do it will be covered Wednesday
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HW:  If you missed class, SPSS handouts will be outside my door.
Reread 7.1.  Review Sec. 3: pp 195-6 for Matched pairs, pp. 186-191 for two-sample t. (Three or more treatments require analysis of variance, Ch. 10.  Not in this course.)
Read 7.2.  This HW only covers thru p. 341.  Read ahead. You will be responsible for the material through p. 402; should read and understand the rest in order to be able to deal with the output from SPSS, and future encounters.
You don't need to know the formula for d.f. on p. 403, only that SPSS uses it to produce the "equal variances not assumed" result.  You would never try to calculate it by hand--too much possibility for a mistake..
You don't need to know the "pooled two-sample t-procedure", only that it goes with the "equal variances" line in  the SPSS results--we prefer to use the "equal variances not assumed" results in all cases.  You should know that you will still meet the "pooled" procedure as the "standard" in  older books, or areas where the newer method has not filtered down yet.
Hand-in (All SPSS except as noted)
--Go through Example 7.4, p. 99, in the SPSS manual ( Example 7.3 in BPS, p.375).  Produce (& Hand IN) the two outputs I put on the handout under Matched Pairs:  Testing using the "Paired Samples T-Test" procedure on the original variables, and Testing using the "One sample T-Test." Compare with the text analysis. 

p. 374 7.7 DDT  do this again on SPSS.  Compare your results with those you got by hand. 
p.383 crankshafts Also, with part a,  find a 95% confidence interval for the actual mean dimension. 
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Matched pairs :  you just treat the difference/change as one variable (x).

p.378, 7.9 &10 (right/left threads) Also, make a variable for the difference  and produce a stemplot to check for outliers.  * There is an annoyance here--we expect the right thread times to be smaller than the left thread times, so it might be easier to think about (left -right) and anticipate a positive average.  But unless we exchange the order of the variables in the SPSS file, we have to do (right - left) if we do a "paired-sample test", and anticipate a negative average.  Be clear what you do. 

p. 382, 7.11 caffeine dependence  Again, watch out for the direction of your differences and what they mean.
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Sec. 7.2, not SPSS
p. 391, 7.28, 7.29 which design?

Read, to discuss Optional 
Review: 


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