STAT 705 Spring 2010
--------------------

Homework 6
----------

21.5(a,b,d), 21.6(a,c,d,e), 21.11, 21.13(b,c,d,f),
28.3, 28.7(b,d,e), 28.13(a), 28.14, 28.15(a,b,c), 28.16(b)
18.25, 18.27, 22.1, 22.6, 22.9(b,c), 22.10(a,b,c,d,f), 22.23 


NOTE: Problems 21.5, 21.6, 21.13, 28.6, 28.14, 28.15, 18.25, 22.9, 22.10
require analysis using a computer package such as SAS or R.

NOTE: For 28.3, look on page 1174 for the definitions 
of n and n_p.

HINT: For 28.7, do you think the 12 washing periods (the blocks) 
are fixed or random?  Do you think a population of washing periods 
is of interest, or just these 12 washing periods?

NOTE: For 28.14, do the residual plot (vs. fitted values), 
the normal Q-Q plot, and the Shapiro-Wilk test.

NOTE:  For 18.25, where it says "nonparametric rank F test", do the
Kruskal-Wallis test (they are equivalent).

NOTE: For 22.9(b), do the residual plot (vs. fitted values), 
the normal Q-Q plot, and the Shapiro-Wilk test (and state your
conclusions).

NOTE: For 22.10(c), you don't have to fit the full and reduced 
models separately if you let SAS or R do the appropriate F-test.

HINT:  For 22.10(f), to decide which is "more efficient", compare 
(22.18) to the square root of (22.17) on page 930.

HINT:  For 22.23, note that you are deriving the LS estimator 
for ANY PARTICULAR delta_i.  So if you want, you could derive 
it for delta_1, and then just generalize your result.  In any 
case, note that in #22.23 you will be solving two equations 
with two unknowns.


The "Auditor Training", "Auditor Training #21.13", "Detergent Effectiveness", 
"Hardware Sales", "Telephone Communications" and "Questionnaire Color #22.9"
data sets are given on the course web page.

Please write your answers neatly and clearly!