Math 145 – Fall 2013
1/4
Problem Sets Due Before Test 1
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
Section
Problems
0
Thr 9/5
?
Familiarize yourself with the course home page:
http://www.calvin.edu/~rpruim/courses/m145/F14/
and read the information there.
?
Fill out the Information Sheet and bring it to class.
?
Go to RStudio (follow the link on the course web page) and log in
and log out again. Your userid will be the same as your Calvin
network ID (the part of your email before the @, probably a few
letters and a number or two). Passwords will be discussed in class.
To change your password. Go to “Tools”, select “Shell”, type
‘yppasswd’, hit enter, and follow the directions.
(Feel free to snoop if you want, but for now I just want to make
sure everyone has an account.) Email me if you can’t log in.
1.1–1.2
Read Sections 1.1–1.2, paying careful attention to the terminology
used. Keep in mind that terminology often exists to make distinctions. (There is less terminology in statistics than in biology, but
it must be used more carefully.)
Make a list of all the distinctions made in this chapter. There are
three major ones in section 1.1, for example. (Typically these will
come in pairs. For example, male vs. female makes an important
distinction in most types of organisms.) Turn in your list as
problem 0 of this assignment. For each distinction say as succinctly as you can what the distinction is and create an example
that clearly illustrates the distinction.
Created September 26, 2014 — See web site for most current version.
Math 145 – Fall 2013
2/4
PS
Due
Section
1
Fri 9/6
1.1
Problems
(3–4) cases & variables (7, 9) explanatory and response (11)
(15) hormones and fish (17) trans-generational diet effects?
6 cases & variables 8 explanatory and response 12
16 muscles 20 rowing 26 on your own
[13]
1.2
(31–33)
36
[52]
2a
Mon 9/8
1.3
nutrition study
having children
Tue 9/9
1.3
40
(37–39)
bias
beauty
54
[57]
bias
(53)
hookahs
hand-washing
teaching ability
living at home
[19]
56
[58]
alcohol and pot
tanning salons
Read this section noting the terminology used. Of particular importance is the distinction between an observational study and an
experiment. Come prepared to explain the difference. The problems below (which you don’t have to turn in) may be helpful as a
self-test.
72
88
[85]
[94]
*
[55]
world countries
trans-generational environment effects?
sample and population
sample and population
(54–69)
2
[18]
cat or quant
headlines
confounding
(71, 75)
confounding
(77, 79)
76 experiment? 78 experiment? 80
92 antidepressants
experiment?
(81)
penguins
sprinting gene?
music and beer
height and reading
carbs
[95]
[87]
dorms
[89]
red
[91]
beauty sleep
alcohol and reaction time
Create an RMarkdown file containing the following: (a) Your
Name, (b) two plots (any plots you like, but have them be different types) and the code used to generate them, (c) a paragraph
of text telling me anything you want. (Examples: what you did
last summer, how the course is going so far, your favorite thing
to do on the weekend, why you love your pet, what you miss
about home, what you miss about Calvin when you are at home,
whatever you like.)
Use Knit to PDF to create a PDF. Print this PDF and turn it in
separately from the problems above.
Created September 26, 2014 — See web site for most current version.
Math 145 – Fall 2013
3/4
PS
Due
Section
3A
Fri 9/12
2.1
Problems
(1–3) proportions (9) relative frequency 10 relative frequency 13 rock-paper-scissors
[15] airborne antibiotics [16] cell phones 17abc dogs and cancer 18 true love
20 dyslexia gene [23] electrical insight [25] smoking and pregnancy [27] binge drinking
3B
4
(32–38) histogram shapes (39–42) draw a plot (51) arsenic toenails 55 happy language
(57) fiber in diet [59] text messages 63 create data
2.3
(73)
2.4
(121–122)
Fri 9/19
matching
74
76
matching
matching
132
matching
78
percentiles
108
SAT scores
movie budgets
Use RStudio to create an Rmarkdown file for the problems below.
When you are finished, knit to PDF and print the resulting file.
The file should contain your R commands, the results produced,
and any additional comments you need to make to answer the
questions.
2.1
19
smoking
2.2
60
exercise
2.3
(71)
exercise
2.4
144
traffic flow
147
4.1
5–7
hypotheses
[9,11,13]
cides
5
malaria vaccine
2.2
Fri 9/12
Tue 9/16
30
[17]
72
tv
98a
hotdogs
[103]
toenails
106
NBA blocks
[107]
LeBron
student survey
hypotheses
beer and mosquitoes
46
14
hypotheses
[15acd]
exercise and brains
hypotheses
21–22
16
pesti-
ICU
4.2
(41–44)
A
These problems begin on page 141.
[1] eye black 2 penguins [3] webpages [5] eating time 6a–d laptops and sperm [7] blad-
evidence?
(45)
[19ab]
p-value
p-value
der cancer
8
4.1
24–25
ICU
4.2
[47]
4.3
(67–70) reject? (71–74) significance (75) which p-value? 76 which p-value?
(77) 78 82 memory 86a–d cell phones [88] [89] [90]
4.4
(107–108) (110–111) 118 p-vlaue 120 p-vlaue [117,119,121] p-value
(123–124) octopus (125) coins (126) randomiztion by hand 127 randomiztion by
hand
p-value
130
tipping
28
red wine
[48–49]
sketch
50
sketch
52
arsenic and chickens
60
memory
Created September 26, 2014 — See web site for most current version.
smiles
Math 145 – Fall 2013
4/4
PS
Due
Section
Problems
6
Tue 9/23
4.3
85
4.4
(112–113) tails 115–116 tails (128) arsenic in chicken [132] massage
[133] Hockey Malevolence 134 electric brains [135] marijuana 141 pulse 143 clickers
B
[3]
vitamin C
38
infections and child birth
goalie
90
exercise and mice
4
smelling cancer
[92]
5a
which level?
diet cola and calcium
[23]
smoking and pregnancy
Additional
1 Using the data in BodyTemp50, is there evidience that
males and females have different mean body temperatures?
2 We have introduced 5 different randomization scenarios so
far. In class we made a table where we listed the story, the
null hypothesis, and the command for creating the randomization distribution for each of these. Recreate that table
with one additional column: the R code you would use to
make a plot you might use to look at the data before embarking upon a formal hypothesis test.
7
Fri 9/26
3.1
(1,3,5) parameter/statistic 2,4 parameter/statistic
(7,9,11) parameter/statistic 6,8,10 parameter/statistic
B
15 cell phones 17 fat mice 23 smoking and pregnancy
50a–d, 51 heart rate and bp 52 smoking rates 55
sales people
Created September 26, 2014 — See web site for most current version.