In: Economics
If the minimum-variance hedge ratio is -1, then which of the following statements is true?
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(a) Changes in spot and futures prices are perfectly negatively correlated. |
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(b) The standard deviations of spot and futures price changes are the same. |
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(c) The minimum-variance hedge for a long spot exposure is a short futures exposure of the same size. |
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(d) All of the above. |
In: Finance
a) Based on BNM or news report, explain the latest changes in the statutory reserve requirement (SRR) for Malaysia. Your explanation should also include the changes to money supply and the possible impact of the change.
b) Based on your answer above, select an economic problem where that impact would work and explain what could happen.
In: Economics
How can changes in the number of people in the labor force and its components cause changes in the unemployment rate?
If an economic crisis leads to a large number of discouraged workers in an economy, how does it affect the ability of the official labor market statistics such as unemployment rate to provide healthy information about the nature of the labor market in the economy?
In: Economics
. What factors have caused the decrease in loan volume relative to other assets on the balance sheets of commercial banks? How has each of these factors been related to the change and development of the financial services industry during the 1990s and 2000s? What strategic changes have banks implemented to deal with changes in the financial services environment?
In: Accounting
In: Economics
In a pro forma income statement, do you think a finance manager make changes in the prior year's percentages for different line items? Give an example of a line item that you would expect to vary in percentage every year as sales forecasts grow or changes for Facebook. Be sure to cite and reference your sources if possible.
In: Finance
Item 6
In the case below, the original source material is given along with a sample of student work. Determine the type of plagiarism by clicking the appropriate radio button.
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Original Source Material |
Student Version (written in 2002) |
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Merck, in fact, epitomizes the ideological nature--the pragmatic idealism--of highly visionary companies. Our research showed that a fundamental element in the "ticking clock" of a visionary company is a core ideology--core values and a sense of purpose beyond just making money--that guides and inspires people throughout the organization and remains relatively fixed for long periods of time. References: |
Merck is one of world's biggest pharmaceutical companies. It originated in Germany late in the seventeenth century with operations in the United States starting in the late nineteenth century. As a business, Merck pursues profitable ventures; however, they have established an impressive track record of charitable giving with hundreds of millions in donations. |
Which of the following is true for the Student Version above?
Word-for-Word plagiarism
Paraphrasing plagiarism
This is not plagiarism
Hints
Item 7
In the case below, the original source material is given along with a sample of student work. Determine the type of plagiarism by clicking the appropriate radio button.
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Original Source Material |
Student Version |
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There is a desperate need for theorists and researchers to generate and refine a new breed of learning-focused instructional design theories that help educators and trainers to meet those needs, (i.e., that focus on learning and that foster development of initiative, teamwork, thinking skills, and diversity). The health of instructional-design theory also depends on its ability to involve stakeholders in the design process. References: |
We "need theorists and researchers to generate and refine learning-focused instructional design theories...." Such theories will "help educators and trainers to meet those needs ... that focus on learning and that foster development of initiative, teamwork, thinking skills, and diversity." References: |
Which of the following is true for the Student Version above?
Word-for-Word plagiarism
Paraphrasing plagiarism
This is not plagiarism
Hints
Item 8
In the case below, the original source material is given along with a sample of student work. Determine the type of plagiarism by clicking the appropriate radio button.
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Original Source Material |
Student Version |
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In examining the history of the visionary companies, we were struck by how often they made some of their best moves not by detailed strategic planning, but rather by experimentation, trial and error, opportunism, and--quite literally--accident. What looks in hindsight like a brilliant strategy was often the residual result of opportunistic experimentation and "purposeful accidents." References: |
Decisions that look like the result of smart strategic thinking could, instead, be attributed to a culture that values opportunistic experimenting and intentional mishaps. Collins and Porras (2002) point out their surprise at finding that many of the visionary companies that they researched "made some of their best moves not by detailed planning, but rather by experimentation, trial and error, opportunism, and--quite literally--accident" (p. 141). References: |
Which of the following is true for the Student Version above?
Word-for-Word plagiarism
Paraphrasing plagiarism
This is not plagiarism
Hints
Item 9
In the case below, the original source material is given along with a sample of student work. Determine the type of plagiarism by clicking the appropriate radio button.
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Original Source Material |
Student Version |
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But what are reasonable outcomes of the influence of global processes on education? While the question of how global processes influence all aspects of education (and who controls these forces) is multidimensional and not completely testable, there appear to be some theories of globalization as it relates to education that can be empirically examined. References: |
The question of “how global processes influence all aspects of education (and who controls these forces) is multidimensional and not completely testable but there appear to be some theories of globalization as it relates to education that can be empirically examined” (Rutkowski and Rutkowski, 2009, p. 138). |
Which of the following is true for the Student Version above?
Word-for-Word plagiarism
Paraphrasing plagiarism
This is not plagiarism
Hints
Item 10
In the case below, the original source material is given along with a sample of student work. Determine the type of plagiarism by clicking the appropriate radio button.
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Original Source Material |
Student Version |
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A communication channel is the means by which messages get from one individual to another. The nature of the information-exchange relationship between a pair of individuals determines the conditions under which a source will or will not transmit the innovation to the receiver and the effect of such a transfer. References: |
Rogers places great importance on the sharing of information about an innovation. He defines a communication channel as "the means by which messages get from one individual to another" (p. 18). He describes two general media channels of communication: mass media and interpersonal; and two scopes of channels: localite and cosmopolite. References: |
Which of the following is true for the Student Version above?
Word-for-Word plagiarism
Paraphrasing plagiarism
This is not plagiarism
In: Operations Management
# Write a function called `get_state_data` that allows you to
specify a state,
# then saves a .csv file (`STATE_data.csv`) with observations from
that state
# This includes data about the state, as well as the counties in
the state
# You should use the full any.drinking dataset in this function
(not just 2012)
# Demonstrate that you function works by passing "Utah" to the
function
state_Utah <- get_state_data(Utah)
############################ Binge drinking Dataset ############################
# In this section, you will ask a variety of questions regarding
the
# `binge_drinking.csv` dataset. More specifically, you will analyze
a subset of
# the observations of *just the counties* (exclude state/national
estimates!).
# You will store your answers in a *named list*, and at the end of
the section,
# Convert that list to a data frame, and write the data frame to a
.csv file.
# Pay close attention to the *names* to be used in the list.
# Create a dataframe with only the county level observations from
the
# `binge_driking.csv` dataset. You should (again) think of
Washington D.C. as
# a state, and therefore *exclude it here*.
# However, you should include "county-like" areas such as parishes
and boroughs
county_data <- binge.drinking.csv %>% distinct(state)
# Create an empty list in which to store answers to the questions below.
# What is the average county level of binge drinking in 2012 for
both sexes?
# Store the number in your list as `avg_both_sexes`.
# What is the name of the county with the largest increase in male
binge
# drinking between 2002 and 2012?
# Store the county name in your list as
`largest_male_increase`.
# How many counties experienced an increase in male binge drinking
between
# 2002 and 2012?
# Store the number in your list as `num_male_increase`.
# What fraction of counties experienced an increase in male binge
drinking
# between 2002 and 2012?
# Store the fraction (num/total) in your list as
`frac_male_increase`.
# How many counties experienced an increase in female binge
drinking between
# 2002 and 2012?
# Store the number in your list as `num_female_increase`.
# What fraction of counties experienced an increase in female binge
drinking
# between 2002 and 2012?
# Store the fraction (num/total) in your list as
`frac_female_increase`.
# How many counties experienced a rise in female binge drinking
*and*
# a decline in male binge drinking?
# Store the number in your list as `num_f_increase_m_decrease`.
# Convert your list to a data frame, and write the results
# to the file `binge_info.csv`
# The next questions return *data frames as results*:
# What is the *minimum* level of binge drinking in each state in
2012 for
# both sexes (across the counties)? Your answer should contain
roughly 50 values
# (one for each state), unless there are two counties in a state
with the
# same value. Your answer should be a *dataframe* with the
location, state, and
# 2012 binge drinking rate. Write this to a file called
`min_binge.csv`.
# What is the *maximum* level of binge drinking in each state in
2012 for
# both sexes (across the counties)? Your answer should contain
roughly 50 values
# (one for each state), unless there are two counties in a state
with the
# same value. Your answer should be a *dataframe* with the
location, state, and
# 2012 binge drinking rate. Write this to a file called
`max_binge.csv`.
################################# Joining Data
#################################
# You'll often have to join different datasets together in order to
ask more
# involved questions of your dataset. In order to join our datasets
together,
# you'll have to rename their columns to differentiate them.
# First, rename all prevalence columns in the any_drinking dataset
to the
# have prefix "any_" (i.e., `males_2002` should now be
`any_males_2002`)
# Hint: you can get (and set!) column names using the colnames
function.
# This may take multiple lines of code.
# Then, rename all prevalence columns in the binge_drinking dataset
to the have
# the prefix "binge_" (i.e., `males_2002` should now be
`binge_males_2002`)
# This may take multiple lines of code.
# Then, create a dataframe by joining together the both
datasets.
# Think carefully about the *type* of join you want to do, and what
the
# *identifying columns* are. You will use this (joined) data to
answer the
# questions below.
# Create a column `diff_2012` storing the difference between `any`
and `binge`
# drinking for both sexes in 2012
# Which location has the greatest *absolute* difference between
`any` and
# `binge` drinking? Your answer should be a one row data frame with
the state,
# location, and column of interest (diff_2012).
# Write this dataframe to `biggest_abs_diff_2012.csv`.
# Which location has the smallest *absolute* difference between
`any` and
# `binge` drinking? Your answer should be a one row data frame with
the state,
# location, and column of interest (diff_2012).
# Write this dataframe to `smallest_abs_diff_2012.csv`.
############## Write a function to ask your own question(s)
####################
# Even in an entry level data analyst role, people are expected to
come up with
# their own questions of interest (not just answer the questions
that other
# people have). For this section, you should *write a function*
that allows you
# to ask the same question on different subsets of data. For
example, you may
# want to ask about the highest/lowest drinking level given a state
or year.
# The purpose of your function should be evident given the input
parameters and
# function name. After writing your function, *demonstrate* that
the function
# works by passing in different parameters to your function.
################################### Challenge
##################################
# Using your function from part 1 that wrote a .csv file given a
state name,
# write a separate file for each of the 51 states (including
Washington D.C.)
# The challenge is to do this in a *single line of (very concise)
code*
# Write a function that allows you to pass in a *dataframe* (i.e.,
in the format
# of binge_drinking or any_drinking) *year*, and *state* of
interest. The
# function should saves a .csv file with observations from that
state's counties
# (and the state itself). It should only write the columns `state`,
`location`,
# and data from the specified year. Before writing the .csv file,
you should
# *sort* the data.frame in descending order by the both_sexes
drinking rate in
# the specified year. The file name should have the format:
# `DRINKING_STATE_YEAR.csv` (i.e. `any_Utah_2005.csv`).
# To write this function, you will either have to use a combination
of dplyr
# and base R, or confront how dplyr uses *non-standard
evaluation*
# Hint:
https://github.com/tidyverse/dplyr/blob/34423af89703b0772d59edcd0f3485295b629ab0/vignettes/nse.Rmd
# Hint:
https://www.r-bloggers.com/non-standard-evaluation-and-standard-evaluation-in-dplyr/
# Create the file `binge_Colorado_2007.csv` using your
function.
In: Computer Science
Note: This problem is for the 2018 tax year.
Lance H. and Wanda B. Dean are married and live at 431 Yucca Drive, Santa Fe, NM 87501. Lance works for the convention bureau of the local Chamber of Commerce, while Wanda is employed part-time as a paralegal for a law firm.
During 2018, the Deans had the following receipts:
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Wanda was previously married to John Allen. When they divorced several years ago, Wanda was awarded custody of their two children, Penny and Kyle. (Note: Wanda has never issued a Form 8332 waiver.) Under the divorce decree, John was obligated to pay alimony and child support—the alimony payments were to terminate if Wanda remarried.
In July, while going to lunch in downtown Santa Fe, Wanda was injured by a tour bus. As the driver was clearly at fault, the owner of the bus, Roadrunner Touring Company, paid her medical expenses (including a one-week stay in a hospital). To avoid a lawsuit, Roadrunner also transferred $90,000 to her in settlement of the personal injuries she sustained.
The Deans had the following expenditures for 2018:
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The life insurance policy was taken out by Lance several years ago and designates Wanda as the beneficiary. As a part-time employee, Wanda is excluded from coverage under her employer's pension plan. Consequently, she provides for her own retirement with a traditional IRA obtained at a local trust company. Because the mayor is a member of the local Chamber of Commerce, Lance felt compelled to make the political contribution.
The Deans' household includes the following, for whom they provide more than half of the support:
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Penny graduated from high school on May 9, 2018, and is undecided about college. During 2018, she earned $8,500 (placed in a savings account) playing a harp in the lobby of a local hotel. Wayne is Wanda's widower father who died on January 20, 2018. For the past few years, Wayne qualified as a dependent of the Deans.
Federal income tax withheld is $5,200 (Lance) and $2,100 (Wanda). The proper amount of Social Security and Medicare tax was withheld.
Required:
Determine the Federal income tax for 2018 for the Deans on a joint return by providing the following information that would appear on Form 1040 and Schedule A. They do not want to contribute to the Presidential Election Campaign Fund. All members of the family had health care coverage for all of 2018. If an overpayment results, it is to be refunded to them.
In: Accounting