HW 5b6ab
5b:
5.40 COURSES
5.45 PENALTY KICKS
a. P(L) = 0.493 This is the probability the goalkeeper jumps to the left.
P(C)= 0.063 This is the probability that the goal keeper stays in the center.
P = 0.444 - This is the probability that the goal keeper s
random
Chris Parrish
August 12, 2015
random
random sample
select a random sample from a population
population <- 1:100
0
sample.size <- 10
samp <- sample(population, size=sample.size)
sort(samp)
#
[1]
7
# list of candidates, 1 . 10
# size of desired sampl
random
Name: German Martinez Rojas
September 11, 2015
random
references :
Stat 204 notes, S2016
(http:/cparrish.sewanee.edu/stat204%20S2016/notes/part%2002%20experiments/01_experiments.pdf)
random selection and random assignment what types of conclusions
blood groups
German Martinez Rojas
February 5, 2016
blood groups
references:
- blood type, Wikipedia (https:/en.wikipedia.org/wiki/Blood_type)
- genes and blood type, University of Utah Health Sciences
(http:/learn.genetics.utah.edu/content/inheritance/bl
heating
Name : German Martinez Rojas_
September 7, 2015
heating
reference: Peck, 1/e, ex. 4.23
Data on x = size of house (in square feet) and y = amount of natural gas used (therms) during a specied
period were used to t the least squares regression line.
algae
Name : _
August 24, 2015
algae
reference: Peck, 1/e, ex. 4.46
Import and examine the data on algae colony density and rock surface area for nine rivers.
data <- read.csv("ex04-46.txt", header=TRUE)
head(data)
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1
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3
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5
6
X.x. X.y.
50 1
2.18
DEBT
my image
#X.Rel.freq.X.Debt.
#10.62'none'
#20.23'<10k'
#30.10'10k20k'
#40.05'>20k'
The large majority of students seem to have incurred no student debt postgraduation. The rest of the student debt categories, even when combined, are less
than th
4.05 CARS
-WEAK CORRELATION
4.13 DEBT
Calculate the correlation.
r<cor(consumer.debt,household.debt)
r
#[1]0.1178129
INTERPRETTHECORRELATONWEAK
4.24 CORRELATION
The correlation is 0.8836937
Thestrengthofthecorrelationisstrong
4.25 POLLUTION
Note that the
2.18
DEBT
my image
#X.Rel.freq.X.Debt.
#10.62'none'
#20.23'<10k'
#30.10'10k20k'
#40.05'>20k'
The large majority of students seems to incur no student debt. The rest of the
student debt categories, even when combined, are less than the percentage of debtfr
2.18
DEBT
my image
#X.Rel.freq.X.Debt.
#10.62'none'
#20.23'<10k'
#30.10'10k20k'
#40.05'>20k'
The large majority of students seem to have incurred no student debt postgraduation. The rest of the student debt categories, even when combined, are less
than th
2.18
DEBT
my image
#X.Rel.freq.X.Debt.
#10.62'none'
#20.23'<10k'
#30.10'10k20k'
#40.05'>20k'
The large majority of students seems to incur no student debt. The rest of the
student debt categories, even when combined, are less than the percentage of debtfr
Mendelian inheritance
German Martinez ROjas
February 7, 2016
Mendelian inheritance
references:
- blood type, Wikipedia (https:/en.wikipedia.org/wiki/Blood_type)
- Gregor Mendel, Wikipedia (https:/en.wikipedia.org/wiki/Gregor_Mendel)
- genes and blood type
smallpox
German Martinez Rojas
September 15, 2015
Boston Smallpox Epidemic of 1721
The following contingency table (OpenIntro Statistics, pp.8387) refers to the Boston smallpox epidemic of
1721. A total of 6224 residents of Boston contracted smallpox in t
express
Name: German Martinez Rojas_
February 12, 2016
express
reference: Peck, 1/e, ex. 6.76
At a particular grocery store, 25% of the customers use an express checkout stand. Consider 5 randomly
selected customers, and let X denote the number among thos
empirical rule
Name: Ream Thomas
September 18, 2015
empirical rule
reference : OpenIntro Statistics (https:/www.openintro.org/stat/textbook.php), 3/e, p.136
Suppose that the random variable Z has a standard normal probability distribution,
Z N(0, 1)
Use p
scores
Name: German Martinez Rojas_
February 12, 2016
scores
reference : Peck, 1/e, ex. 6.63
coordinates
Think of x as providing natural coordinates (measurements, and such, in convenient units such as meters),
and think of z as providing standardized coo
quantiles
German Martinez Rojas
February 10th, 2016
quantiles
Suppose that the random variable Z has a standard normal probability distribution,
Z N(0, 1)
Use qnorm to calculate the quartiles Q1 , M, Q3 with properties
P(Z Q1 ) = 0.25, P(Z M) = 0.50, P(Z
sleep
Name: German Martinez Rojas_
February 12, 2016
sleep
(Peck, 1/e, ex. 6.81) The Los Angeles Times (December 13, 1992) reported that
what 80% of airline passengers like to do most on long ights is rest or sleep.
Suppose that the actual percentage is e
Honda
Name: German Martinez Rojas
February 10th, 2016
Honda
reference: Peck, 1/e, ex. 5.44
In this study, each of 311 people who purchased a Honda Civic was classied by gender and whether or not
the purchased Honda had a hybrid engine.
Import and display
1.2 TV Observational study, there were not assignments to experimental groups
1.11 HOSPITAL Observational study, there were not assignments to experimental
groups
1.12 EVALUATION- Experiment students were assigned to experimental groups.
1.15 BICYCLISTS A
German Martinez Rojas
7241 Highway 70 South, Apt. 209
Nashville, Tennessee, 37221
2/8/2016
Dear Mr. Keith Van Arsdale
President & CEO
BMC Capital, LP
3100 Monticello Avenue, Suite 400
Dallas, TX 75253
Dear Mr. Van Arsdale:
As a current economics major at
German Martinez Rojas
7241 Highway 70 South, Apt. 209
Nashville, Tennessee, 37221
2/8/2016
Dear Mr. Keith Van Arsdale
President & CEO
BMC Capital, LP
3100 Monticello Avenue, Suite 400
Dallas, TX 75253
Dear Mr. Van Arsdale:
As a current economics major at
German Martinez Rojas
7241 Highway 70 South, Apt. 209
Nashville, Tennessee, 37221
2/7/2016
Dear Mr. Keith Van Arsdale
President & CEO
BMC Capital, LP
3100 Monticello Avenue, Suite 400
Dallas, TX 75253
I am writing to apply for the summer analyst internshi
random
Name: German Martinez
February 8th, 2016
random
references :
Stat 204 notes, S2016
(http:/cparrish.sewanee.edu/stat204%20S2016/notes/part%2002%20experiments/01_experiments.pdf)
random selection and random assignment what types of conclusions are re
random
German Martinez
February 8th, 2016
random
random sample
select a random sample from a population
population <- 1:100
0
sample.size <- 5
samp <- sample(population, size=sample.size)
sort(samp)
# [1]
3
# list of candidates, 1 . 10
# size of desired s