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Va November 14, 2013
Case Study Approval
Case Study Hurricane Irene
Hurricane Irene was one of the worst hurricanes to hit New
York since Hurricane Agnes in 1972. This hurricane cost New
York a total of $1.3 billion dollars as well as power outages of
1.1 million. Also it took the lives of ten people. Even though
this hurricane bypassed New York City the inland section f New
York wasn’t so fortunate. Hurricane Irene made landfall and
caused severe flooding as well as damaged trees, homes, and
dams were demolished. Hurricane Irene was looked at from
every emergency management agency possible from local, state,
tribal and federal to prepare for loss of life and damages. These
agencies expected Hurricane Irene to cause massive destruction
like Hurricane Sandy did in New York City, but never the less
this hurricane caused a lot of damage in revenue, lives, and
property wise. This case study is important for me because it
will show what the state and these agencies did for planning,
prevention, mitigation, and recovery process for New York.
ReferencesThe Associated Press. (2012) The Daily News.
Hurricane Irene one year later: Storm cost $15.8 in damage
from Florida to New York to the Caribbean. Retrieved from
http://www.nydailynews.com/new-york/hurricane-irene-year-
storm-cost-15-8-damage-florida-new-york-caribbean-article-
1.1145302#ixzz2kfCQb7nVDepartment of Homeland Security.
(2011) Homeland Security. Readout of Federal Response to
Hurricane Irene. Retrieved from
https://www.dhs.gov/news/2011/09/01/federal-response-
hurricane-ireneRecovery Resource Center. (2013) Hazard
Mitigation Grant Program. Letter of Intent Registration Period
Closed. Retrieved from
http://stormrecovery.ny.gov/content/hazard-mitigation-grant-
program-hmgp-0
What is Statistics?
A) The science of collecting, describing, and interpreting data.
B) The science of data and variables.
C) The art of interpretation.
D) The art of summarization and graphical representation.
2.
Consider the sample 2,4,7,8,9. Find the mean, x̄
A) 4
B) 5
C) 6
D) 7
3.
The following data are cost (in cents) per ounce of nine
different brands of goat cheese:27, 56, 37, 45, 69, 39, 52, 47,
32. Compute the variance and the standard deviation for this
data set.
A) 152.33, 10.95
B) 167.86, 12.95
C) 148.52, 15.95
D) 135.67, 11.95
4.
There are two types of numerical data: discrete and continuous.
Which is an example of discrete.
A) 21, 4, 15, 16
B) 4-21
C) Both of the above
D) None of the above
5.
A variable is any characteristic whose value may change from
one individual or object to another. Which is an example of a
variable?
A) Calculator brand
B) Number of textbooks purchased
C) Distance to the university
D) All of the above
6.
There are two methods commonly used in data collection. They
are:
A) Surveys and questionnaires
B) Social media and the internet
C) Experiments and Observational studies.
D) None of the above
7.
What type of graph is a bar graph with the bars arranged from
the most numerous category to the least numerous category?
A) pie chart
B) pareto diagram
C) spider chart
D) All of the above
8.
The definition of a population is:
A) a subset of the total of individuals or objects which
information is desired.
B) a subset of a sample of individuals or objects which
information is desired.
C) an entire collection of individuals or objects which
information is desired.
D) a partial collection of individuals or objects which
information is desired.
9.
In some studies, attention focuses on a single variable. Other
studies will focus on two variables. When a study focuses on
two characteristics, such as age and weight, the data set will
consist of pairs of numbers, such as (68, 192). The age is 68 and
the weight is 192. When a study focuses on two characteristics
it is called a:
A) bivariate data set
B) univariate data set
C) trivariate data set
D) quadvariate data set
10.
The primary purpose of linear correlation is to measure the
strength of a linear relationship between two variables. Scatter
diagrams measure that relationship. A scatter diagram can
reflect:
A) no correlation
B) positive correlation
C) negative correlation
D) All of the above
11.
The coefficient of linear correlation, r, is the numerical measure
of the strength of the linear relationship between two variables.
The linear correlation coefficient, r, always has a value
between:
A) -1 and +1
B) 0 and +1
C) -10 and +10
D) None of the above
12.
A probability of an event is:
A) the relative frequency with which that event can be expected
to occur.
B) the number of times a variable has occurred.
C) the number of trials in an event.
D) None of the above.
13.
A random variable assumes a unique numerical value for each
of the outcomes in a sample space of a probability experiment.
This is called the random variable value. Numerical random
variables can be subdivided into two classifications.
They are:
A) samples and populations
B) parameters and percentages
C) discrete random variables and continuous random variables
D) none of the above
14.
Lengths of newborn babies (in centimeters) are known to be
normally distributed with a mean of 50 centimeters and a
standard deviation of 5 centimeters. How would you denote the
number 5?
A) X-Bar
B) s
C) μ
D) σ
15.
The regression output and scatterplot are for average
commercial insurance payments, in thousands of dollars, made
to ten hospitals in a certain city for heart valve surgery vs.
coronary bypass surgery. Which is these is your best guess for
the correlation?
A) -80
B) -9
C) +.9
D) None of the above
16.
The empirical rule states that for a normal distribution almost
all data will fall within 3 standard deviations from the mean.
What percentage of the data will fall within the first standard
deviation?
A) 34%
B) 68%
C) 95%
D) 99.7%
17.
The New York Times reported on the prices of 40 different
brands of lipstick.
Here is a histogram of the data.
Which one of these is the mean price?
A) $17
B) $18
C) $19
D) $20
18.
The relationship between average reading and average writing
SAT score was examined for a sample of 19 schools. The
relationship is apparently:
A) weak and negative
B) strong and negative
C) weak and positive
D) strong and positive
19.
Even when accounting for disparities in the 65-and-older
population’s diseases, ages or other health-related factors,
there’s still a significant difference in mortality based on
walking.” This shows the researchers controlled for
A) the placebo effect
B) the Hawthorne effect
C) confounding variables
D) lack of realism
20.
Students lie, cheat, steal, but think they are good “The
Josephson Institute, a Los Angeles-based ethics institute,
surveyed 29,760 students at 100 randomly selected high schools
nationwide, both public and private. All students in the selected
schools were given the survey in class; their anonymity was
assured...The survey found that 35 percent of boys and 26
percent of girls—30 percent overall—acknowledged stealing
from a store within the past year...Cheating in school is rampant
and getting worse. Sixty-four percent of students cheated on a
test in the past year and 38 percent did so two or more times, up
from 60 percent and 35 percent in a 2006 survey.” What
percentage of students reported cheating just once in the past
year 2007?
A) 6%
B) 16%
C) 26%
D) 36%
21.
In Excel, the function to calculate the measure of centrality for
the mean is:
A) Average
B) mean
C) median
D) mode
22.
A masters thesis by M. Purser at the University of Washington
in 1988 looked at soil densities in a conifer forest, before and
after clearcut logging in the area. These histograms show 32
pre-logging densities and 38 post-logging densities, recorded in
grams per cubic centimeter. Unlike most before-and-after
designs, this was a two-sample study: the same sample of soil
could not be assessed twice. First compare the histogram’s
centers: when were the densities higher on average?
A) before logging
B) after logging
C) neither
23.
True or False: The first quartile and the 25th percentile are the
same.
A) True
B) False
C) Neither true of false there isn’t enough information.
24.
Correlation does imply causation.
A) True
B) False
25.
The line of best fit is also called the trend line. It is a straight
line that best represents data on a scatter plot. A line of best fit
must pass through all of the points represented on the scatter
plot.
A) True
B) False

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Va November 14, 2013Case Study A.docx

  • 1. Va November 14, 2013 Case Study Approval Case Study Hurricane Irene Hurricane Irene was one of the worst hurricanes to hit New York since Hurricane Agnes in 1972. This hurricane cost New York a total of $1.3 billion dollars as well as power outages of 1.1 million. Also it took the lives of ten people. Even though this hurricane bypassed New York City the inland section f New York wasn’t so fortunate. Hurricane Irene made landfall and caused severe flooding as well as damaged trees, homes, and dams were demolished. Hurricane Irene was looked at from every emergency management agency possible from local, state, tribal and federal to prepare for loss of life and damages. These agencies expected Hurricane Irene to cause massive destruction like Hurricane Sandy did in New York City, but never the less this hurricane caused a lot of damage in revenue, lives, and property wise. This case study is important for me because it will show what the state and these agencies did for planning, prevention, mitigation, and recovery process for New York.
  • 2. ReferencesThe Associated Press. (2012) The Daily News. Hurricane Irene one year later: Storm cost $15.8 in damage from Florida to New York to the Caribbean. Retrieved from http://www.nydailynews.com/new-york/hurricane-irene-year- storm-cost-15-8-damage-florida-new-york-caribbean-article- 1.1145302#ixzz2kfCQb7nVDepartment of Homeland Security. (2011) Homeland Security. Readout of Federal Response to Hurricane Irene. Retrieved from https://www.dhs.gov/news/2011/09/01/federal-response- hurricane-ireneRecovery Resource Center. (2013) Hazard Mitigation Grant Program. Letter of Intent Registration Period Closed. Retrieved from http://stormrecovery.ny.gov/content/hazard-mitigation-grant- program-hmgp-0 What is Statistics? A) The science of collecting, describing, and interpreting data. B) The science of data and variables. C) The art of interpretation. D) The art of summarization and graphical representation. 2. Consider the sample 2,4,7,8,9. Find the mean, x̄ A) 4 B) 5 C) 6 D) 7 3. The following data are cost (in cents) per ounce of nine different brands of goat cheese:27, 56, 37, 45, 69, 39, 52, 47, 32. Compute the variance and the standard deviation for this data set.
  • 3. A) 152.33, 10.95 B) 167.86, 12.95 C) 148.52, 15.95 D) 135.67, 11.95 4. There are two types of numerical data: discrete and continuous. Which is an example of discrete. A) 21, 4, 15, 16 B) 4-21 C) Both of the above D) None of the above 5. A variable is any characteristic whose value may change from one individual or object to another. Which is an example of a variable? A) Calculator brand B) Number of textbooks purchased C) Distance to the university D) All of the above 6. There are two methods commonly used in data collection. They are: A) Surveys and questionnaires B) Social media and the internet C) Experiments and Observational studies. D) None of the above 7. What type of graph is a bar graph with the bars arranged from the most numerous category to the least numerous category? A) pie chart B) pareto diagram C) spider chart
  • 4. D) All of the above 8. The definition of a population is: A) a subset of the total of individuals or objects which information is desired. B) a subset of a sample of individuals or objects which information is desired. C) an entire collection of individuals or objects which information is desired. D) a partial collection of individuals or objects which information is desired. 9. In some studies, attention focuses on a single variable. Other studies will focus on two variables. When a study focuses on two characteristics, such as age and weight, the data set will consist of pairs of numbers, such as (68, 192). The age is 68 and the weight is 192. When a study focuses on two characteristics it is called a: A) bivariate data set B) univariate data set C) trivariate data set D) quadvariate data set 10. The primary purpose of linear correlation is to measure the strength of a linear relationship between two variables. Scatter diagrams measure that relationship. A scatter diagram can reflect: A) no correlation B) positive correlation C) negative correlation D) All of the above 11.
  • 5. The coefficient of linear correlation, r, is the numerical measure of the strength of the linear relationship between two variables. The linear correlation coefficient, r, always has a value between: A) -1 and +1 B) 0 and +1 C) -10 and +10 D) None of the above 12. A probability of an event is: A) the relative frequency with which that event can be expected to occur. B) the number of times a variable has occurred. C) the number of trials in an event. D) None of the above. 13. A random variable assumes a unique numerical value for each of the outcomes in a sample space of a probability experiment. This is called the random variable value. Numerical random variables can be subdivided into two classifications. They are: A) samples and populations B) parameters and percentages C) discrete random variables and continuous random variables D) none of the above 14. Lengths of newborn babies (in centimeters) are known to be normally distributed with a mean of 50 centimeters and a standard deviation of 5 centimeters. How would you denote the number 5? A) X-Bar
  • 6. B) s C) μ D) σ 15. The regression output and scatterplot are for average commercial insurance payments, in thousands of dollars, made to ten hospitals in a certain city for heart valve surgery vs. coronary bypass surgery. Which is these is your best guess for the correlation? A) -80 B) -9 C) +.9 D) None of the above 16. The empirical rule states that for a normal distribution almost all data will fall within 3 standard deviations from the mean. What percentage of the data will fall within the first standard deviation? A) 34% B) 68% C) 95% D) 99.7% 17. The New York Times reported on the prices of 40 different brands of lipstick. Here is a histogram of the data. Which one of these is the mean price?
  • 7. A) $17 B) $18 C) $19 D) $20 18. The relationship between average reading and average writing SAT score was examined for a sample of 19 schools. The relationship is apparently: A) weak and negative B) strong and negative C) weak and positive D) strong and positive 19. Even when accounting for disparities in the 65-and-older population’s diseases, ages or other health-related factors, there’s still a significant difference in mortality based on walking.” This shows the researchers controlled for A) the placebo effect B) the Hawthorne effect C) confounding variables D) lack of realism 20. Students lie, cheat, steal, but think they are good “The Josephson Institute, a Los Angeles-based ethics institute, surveyed 29,760 students at 100 randomly selected high schools nationwide, both public and private. All students in the selected schools were given the survey in class; their anonymity was assured...The survey found that 35 percent of boys and 26
  • 8. percent of girls—30 percent overall—acknowledged stealing from a store within the past year...Cheating in school is rampant and getting worse. Sixty-four percent of students cheated on a test in the past year and 38 percent did so two or more times, up from 60 percent and 35 percent in a 2006 survey.” What percentage of students reported cheating just once in the past year 2007? A) 6% B) 16% C) 26% D) 36% 21. In Excel, the function to calculate the measure of centrality for the mean is: A) Average B) mean C) median D) mode 22. A masters thesis by M. Purser at the University of Washington in 1988 looked at soil densities in a conifer forest, before and after clearcut logging in the area. These histograms show 32 pre-logging densities and 38 post-logging densities, recorded in grams per cubic centimeter. Unlike most before-and-after designs, this was a two-sample study: the same sample of soil could not be assessed twice. First compare the histogram’s centers: when were the densities higher on average? A) before logging B) after logging C) neither
  • 9. 23. True or False: The first quartile and the 25th percentile are the same. A) True B) False C) Neither true of false there isn’t enough information. 24. Correlation does imply causation. A) True B) False 25. The line of best fit is also called the trend line. It is a straight line that best represents data on a scatter plot. A line of best fit must pass through all of the points represented on the scatter plot. A) True B) False