Math 143 – Spring 2012
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Problem Sets Due After Test 2
Only turn in problems that are not bracketed. Bracketed problems are additional problems you can look
at. Round brackets indicate problems that may help you with problems that are assigned; square brackets
are additional problems on material that you should know, but you are not required to write up solutions;
curly brackets are truly optional and may contain extra nuggets that you will not be required to know but
may be interested in.
Additional assignments and deadlines will be filled in over time.
notation
meaning
unbracketed
assigned problem – turn these in for grading
()
helper/warm-up problem
[]
additional problems (you are responsible for content, but don’t turn them in)
{}
covers optional material
PS
Due
Chapter
Problems
16
Thr 4/12
ABD 13
1 qq plots 2 density 14 mosquitoes 19 climbing plants 22 sex ratios 24 zebra finches
ABD 12
22
ABD 14
1
dolphins
good design
2
balance
5
salmon
[8]
marijuana
17
Mon 4/16
ABD 14
3 plots 7 pneumonia 13 homeopathy 14 6 strategies 15
18 lasers 19 advantage 21ab reaction time
18
Thu 4/19
ABD 9
2
malaria
warts?
[21]
19
Mon 4/23
ABD 15
2
[3]
12
consequences
ANOVA table
UV-B
4 frogs and fire [7] drinking [8] depression 11ac duct tape for
15 Everest 16 which test? 19 diaries 20 diet and smoking
[22] yawning 23a–d daycare
spiders
flycatchers
chest pain
[16]
5a–c
eelgrass
11b
body condition
21a
ANOVA table
Notes: See output on page 3.
Created April 26, 2012 — See web site for most current version.
Math 143 – Spring 2012
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PS
Due
Chapter
Problems
20
Mon 4/30
ABD 15
3ab
ABD 16
(1)
Extra
1
Tukey
11a
estimate r
body condition
3abc
plot
22c
12ab
pine
telomeres
13ab
language
HELPrct
Notes:
• The table for 15.3 is a bit different from what we have done.
But you can make your own using R in the format we have
seen in class.
• Don’t do SE in 16.3c, but do compute the correlation coefficient
Created April 26, 2012 — See web site for most current version.
Math 143 – Spring 2012
3/3
Some R Output
Problem 15.5
# this version is WRONG (you can tell by degrees of freedom)
> anova(lm( shoots ~ genotypes, Eelgrass))
Analysis of Variance Table
Response: shoots
Df Sum Sq Mean Sq F value
Pr(>F)
genotypes 1 2940.1 2940.14 10.941 0.002449 **
Residuals 30 8061.7 268.72
############################################################
# We have to turn numbers into factors (categorical variables) first:
> anova(lm( shoots ~ factor(genotypes), Eelgrass))
Analysis of Variance Table
Response: shoots
Df Sum Sq Mean Sq F value Pr(>F)
factor(genotypes) 2 2952.8 1476.40 5.3193 0.01077 *
Residuals
29 8049.1 277.55
Created April 26, 2012 — See web site for most current version.