Week 5 (2/24/05 - 3/3/05)

Karl Pearson (1857-1936) -- originator of many statistical methods, including chi-square and r

HW 

• Collect HW3
• Return and discuss HW2
  • Feedback is most effective when given early, so . . . 
  • Good job, and (but?) I want to see continued development in levels of  presentation and interpretation
  • In the future, statistical reports, not mere scratchings, and certainly not raw computer output
  • According to the course syllabus (p. 2, #7) "Results should be reported neatly and should conform to APA Publication Guidelines for text and numbers when possible. Use judgement when reporting results." 
  • When asked to show work, please include statements of H₀ and H₁ (so I know you know what you are testing)
  • Discussions should be more than "reject the null hypothesis" or "means differ significantly." P values are NOT enough. You discuss direction and magnitude of differences, spread (if n moderate) outliers, etc. 
  • Calculations by hand, some by computer only, some by both, depending on what was covered in class.
  • Hand calculations may be checked by computer (e.g., Did anyone use the online ANOVA calculator pointed out in Ex. 12.5B to check their calculations on Ex. 12.6? 

LECTURE CHAP 14 (CORRELATION) 

• The main data set used to illustrate concepts in this weeks chapter may be downloaded: bicycle.sav
• Since the pdf Makers seems to have been booby trapped by Microsoft, I'll bring hard copies of presentation slides with me

LAB 4 

EXERCISES  - version of 2/23/05

• 14.2 (Anscombe's quartet) -- no calculations
• 14.4 (na-bp) -- by hand (OK to check w/ computer)
• 14.8 (mat_mort.sav) -- by computer