1. A survey of families revealed that 58% of all families eat turkey at holiday meals, 44% eat ham, and 16% have
both turkey and ham to eat at holiday meals.
3. Draw a Venn diagram for the probabilities in this problem, with regions and probabilities clea
1,
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/ MATH 410, Fall 2010, Midterm Exam 1
i
Name Hng @9ng
Show all Work to receive maximum credit.
1. Suppose that a Normal model described student scores in a history class. Parker has a standardized score
(zscore) of +2.5. This means that Parker
The Ws
To provide context we need the Ws
Why
HoW
Who
What (and in what units)
When
Where
of the data.
The first step of any data analysis should be to examine the
Wsthis is a key part of the Think step of any analysis.
Know the Why, Who, What, and How, be
Experiments with Random Outcomes
Random: experiments outcome cannot be predicted:
outcome = random variable
all possible outcomes = sample space S
Experiment: toss a 6-sided die once
Random variable: the number that comes up on the die
Sample space = S =c
1
Lecture 2 Handout: Scientific Data Analysis I, Fall 2015
Camp sites (Chapter 4, problem 22, page 105)
6
4
0
2
# of Parks
8
Shown below are the histogram and summary statistics for the number of camp sites at public parks in Vermont.
0
50
100
150
200
250
1
Lecture 1 Examples: Scientific Data Analysis I, Fall 2015
To determine if people's preference in dogs had changed in the recent years, organizers of a local dog show asked people
who attended the show to indicate which breed was their favorite. This inf
Lecture 3 Handout: Scientiﬁc Data Analysis I, Fall 2015
1. Which scatterplot shows a strong association between two variables even though the linear correlation
coefﬁcient is nearly zero? Estimate the correlation coefﬁcient r for the other plots.
2. Cra
The Law of Large Numbers (LLN)
The long-run relative frequency of one of the
outcomes of many repeated independent
trials gets closer and closer to a single value.
The long-run single value is the
Empirical Probability
Formal Rules of Probability
1.
Proba
Lecture 4 Handout: Scientiﬁc Data Analysis I, Fall 2015
1. The following is a scatterplot of the average ﬁnal exam score versus midterm score for 11 sections of an
introductory statistics class:
Scatterpwt esf Scatter: Fina} vs Section Hiiﬁerm
The corre
1
Lecture 4 Handout: Scientific Data Analysis I, Fall 2015
1. The following is a scatterplot of the average final exam score versus midterm score for 11 sections of an
introductory statistics class:
The correlation coefficient for these data is r = 0.829.
4 Summary Statistics for Linear Regression
Slope: On average, for each
additional gram of Sugar,
Calories increase by 2.5
Calories by Sugar for 77 Different Cereals
160
Slope = 2.5 Cal/g
Intercept = 89.2 Cal
140
Intercept: On average, there are
89.2 Calor
1
Syllabus for MATH 410, Scientific Data Analysis I, Fall 2015
(Version 9/21/2015, subject to revision)
Lecture
T
4:00 5:50 PM, Stratton 113
Labs
W
W
W
R
F
M
Instructor
Ken Swartz
8:00 9:50 AM, Korman 110E
10:00 11:50 AM, Korman 110E
4:00 5:50 PM, Korman
Mortality Calcium Derby
1702
44 South
1309
59 South
1259
133 South
1427
27 North
1724
6 North
1175
107 South
1486
5 South
1456
90 South
1696
6 North
1236
101 South
1711
13 North
1444
14 North
1591
49 North
1987
8 North
1495
14 North
1369
68 South
1257
50
Data
A
B
1
13
1
2
2
14
Data
Malaria Outcomes :
Carriers and Non-carriers o
14
Not Sick
Sick
12
10
8
6
4
2
0
Carrier
Non-carrier
Group
Data
Calls of One Toss of a Fair C
Carriers and Non-carriers o
14
Correct
Incorrect
12
10
8
6
4
2
0
Carrier
Non-carrier
G
Berkeley Graduate Admissions Data (1973)
Major
A
B
C
D
E
F
All
Men
number
% admitted
825
62
560
63
325
37
417
33
191
28
373
6
2691
45
Women
number % admitted
108
82
25
68
593
34
375
35
393
34
341
7
1835
32
Adjusted Average Rates
Men
number % admitted
825
Scatterplots
New York Air Quality Measur
May to September 1973
Relation between two
quantitative variables
150
Ozone(ppb)
See
Direction
Shape
100
Strength
50
0
60
70
80
90
Temperature(degrees F)
Outliers:
Extreme in one or both
variables
Not extreme, but
Why Be Random?
What is it about chance outcomes being
random that makes random selection seem
fair? Two things:
Nobody can guess the outcome before it happens.
When we want things to be fair, usually some
underlying set of outcomes will be equally like
1
Syllabus for MATH 410, Scientific Data Analysis I, Fall 2014
(Version 9/23/2014, subject to revision: posted at MyStatLab.com and by email)
Lecture
T
4:00 5:50 PM, Disque 103
Labs
W
W
W
M
F
R
Instructor
Ken Swartz
8:00 9:50 AM, Korman 103B (Sec 061)
10:
Experiments with Random Outcomes
Experiments outcome cannot be predicted:
outcome = random variable
All possible outcomes = sample space S
Experiment: toss a 6-sided die once
Random variable: the number that comes up on the die
Sample space = S =cfw_1, 2,
W -.
/
MATH 410, Spring 2011, Midterm Exam 1
Name Q! r
1. Which is true of the data shown in the histogram?
/I./ The distribution is skewed to the right.
e mean is probably smaller than the median.
: Hige should use median and IQR to summarize these data.
MATH 410, Spring 2011, Midterm Exam 2 Name 'MQVKJVA E
55199
1. According to infoplease. 18.8% of the luxury cars manufactured in recent years were silver. Also, a large car
dealership typically sells 50 luxury cars a month.
. OtAGtWCK W? ' .
,3. Explain,