Problems 1–4BUS-FPX4061 - Managerial Accounting PrinciplesAssessment 9: Making the Right Decision WorksheetProblems 1–4Input valuesComplete problems 1–4 based on the following scenario.Crouch Corp. needs to decide which of two new projects to invest in.Company nameCrouch Corp.·     Project A is an investment in new machinery that will cost $264,000Tax rate20%and has a four-year life with no salvage value.Discount rate6%·     Project B is an investment in new machinery that will cost $264,000Project AProject Band has a three-year life with no salvage value.Investment$ 264,000$ 264,000Using straight-line depreciation, Crouch Corp. predicts that the two projectsLife of machinery (in years)43will yield the following annual results, with cash flows occurring evenly fourthreethroughout the year.Salvage value$0$0Predicted Annual ResultsPredicted Annual ResultsProject A ($)Project B ($)Project A ($)Project B ($)Sales275,000220,000Sales275,000220,000Expenses:Direct materials38,50027,500Expenses:Direct materials38,50027,500Direct labor55,00033,000Direct labor55,00033,000Overhead including depreciation99,00099,000Overhead including depreciation99,00099,000Selling and administrative expenses19,80019,800Selling and administrative expenses19,80019,800Total expenses212,300179,300Total expenses212,300179,300Pretax income62,70040,700Pretax income62,70040,700Income taxes (20%)12,5408,140Income taxes (20%)12,5408,140Net income50,16032,560Net income50,16032,560Complete the problems below. Add answers in this template and show your work.Present value of $1 at 6% annuity for 4 years3.4651Present value of $1 at 6% annuity for 3 years2.6730Problem 1Compute the annual expected net cash flows for each project.Problem 2Determine the payback period for each project.Problem 3Compute the accounting rate of return for each project.Problem 4Determine the net present value using 6% as the discount rate. RQ1: What are participants’ attitudes towards community service, as measured by the Community Service Attitude Subscales (CSAS)? H10: There is no relationship between the CSAS subscales H1A: There is a relationship between the CSAS subscales Analysis: Correlation between the CSAS Subscales: Awareness, Connectedness, Normative Helping Behavior, Costs, Benefits, Career Benefits, Seriousness, Intention, Future Plans RQ2: What are some predictors of attitudes to community service (as measured by CSAS subscales): Demographics: age, gender, race/ethnicity, education? H10: There are no demographic predictors of community service (using CSAS subscales) H1A: There are demographic predictors of community service (using CSAS subscales) Analysis: Multiple regressions with subscales and demographics RQ3: What is the relationship between community service and social media? H10: There is no relationship between community service and social media H1A: There is a relationship between community service and social media Analysis: Correlation between community service and social me ...

1. Problems 1–4BUS-FPX4061 - Managerial Accounting
PrinciplesAssessment 9: Making the Right Decision
WorksheetProblems 1–4Input valuesComplete problems 1–4
based on the following scenario.Crouch Corp. needs to decide
which of two new projects to invest in.Company nameCrouch
Corp.· Project A is an investment in new machinery that will
cost $264,000Tax rate20%and has a four-year life with no
salvage value.Discount rate6%· Project B is an investment in
new machinery that will cost $264,000Project AProject Band
has a three-year life with no salvage value.Investment$
264,000$ 264,000Using straight-line depreciation, Crouch
Corp. predicts that the two projectsLife of machinery (in
years)43will yield the following annual results, with cash flows
occurring evenly fourthreethroughout the year.Salvage
value$0$0Predicted Annual ResultsPredicted Annual
ResultsProject A ($)Project B ($)Project A ($)Project B
($)Sales275,000220,000Sales275,000220,000Expenses:Direct
materials38,50027,500Expenses:Direct
materials38,50027,500Direct labor55,00033,000Direct
labor55,00033,000Overhead including
depreciation99,00099,000Overhead including
depreciation99,00099,000Selling and administrative
expenses19,80019,800Selling and administrative
expenses19,80019,800Total expenses212,300179,300Total
expenses212,300179,300Pretax income62,70040,700Pretax
income62,70040,700Income taxes (20%)12,5408,140Income
taxes (20%)12,5408,140Net income50,16032,560Net
income50,16032,560Complete the problems below. Add answers
in this template and show your work.Present value of $1 at 6%
annuity for 4 years3.4651Present value of $1 at 6% annuity for
3 years2.6730Problem 1Compute the annual expected net cash
flows for each project.Problem 2Determine the payback period
for each project.Problem 3Compute the accounting rate of
return for each project.Problem 4Determine the net present

2. value using 6% as the discount rate.
RQ1: What are participants’ attitudes towards community
service, as measured by the Community Service Attitude
Subscales (CSAS)?
H10: There is no relationship between the CSAS subscales
H1A: There is a relationship between the CSAS subscales
Analysis: Correlation between the CSAS Subscales: Awareness,
Connectedness, Normative Helping Behavior, Costs, Benefits,
Career Benefits, Seriousness, Intention, Future Plans
RQ2: What are some predictors of attitudes to community
service (as measured by CSAS subscales): Demographics: age,
gender, race/ethnicity, education?
H10: There are no demographic predictors of community
service (using CSAS subscales)
H1A: There are demographic predictors of community
service (using CSAS subscales)
Analysis: Multiple regressions with subscales and
demographics
RQ3: What is the relationship between community service and
social media?
H10: There is no relationship between community service
and social media
H1A: There is a relationship between community service
and social media
Analysis: Correlation between community service and social
media
RQ4: What is the relationship between political participation
and social media?
H10: There is no relationship between political
participation and social media
H1A: There is a relationship between political
participation and social media
Analysis: Correlation between political participation and social
media
RQ5: What are predictors of use of social media related to

3. community service: Demographics: age, gender, race/ethnicity,
education?
H10: There are no demographic predictors for use of social
media related to community service
H1A: There are demographic predictors for use of social
media related to community service
Analysis: Multiple regressions with use of social media
related to community service
RQ6: What are predictors of use of social media related to
political service: Demographics: age, gender, race/ethnicit y,
education?
H10: There are no demographic predictors for use of social
media related to political service
H1A: There are demographic predictors for use of social
media related to political service
Analysis: Multiple regressions with use of social medi a
related to political service
RQ7: What is the relationship between attitudes toward
community service (as measured by the CSAS) and use of social
media?
H10: There is no relationship between CSAS subscales and
social media
H1A: There is a relationship between CSAS subscales and
social media
Analysis: Correlation between CSAS subscales and social media
RQ8 Open ended question: What is the experience of engaging
in community service participation?
Analysis: coding and correlation with community service
RQ9 Open ended question: What is the experience of engaging
in political participation?
Analysis: coding and correlation with political service
RQ10 Open ended question: What are the reasons given for
people not to participate in community service?
Analysis: coding and correlation with community service
RQ11 Open ended question: What are the reasons given for
people not to participate in political service?

4. Analysis: coding and correlation with political service
Task
· You have collected your data and analyzed the results. Go
back to the original research questions of the items you
analyzed and evaluate each one with our results. (See attached
research questions)
· Consider why the results came out as they did and what the
implications of the results are.
· For each research question, provide your interpretation of the
results. Include limitations and generalizability in your
discussion. Also, include references for any citations.
Data analysis
Demographics
I utilized SPSS to conduct a descriptive statistics analysis. For
race, education and marital status I utilized frequencies and for
age I utilized descriptive stats. I also picked the community
service questions and utilized frequency stats.
For the demographic race. 64.1% identified as Caucasian, 23.9%
African American, 6% Hispanic, 1.3% Asian American, 0.7
American Indian, 3.3 % Pacific Islander, and 0.7% declined to
disclose their race. Looking at this I would say that the
participant pool was not that diverse. This also makes me
wonder when it comes to the actual community service question,
would there be one or more races that were more active in
community services than other races.
The next demographic is education. 6.6% of the respondents
held a Doctorate, 43.2% held a master’s degree, 21.9% held a
bachelor's degree, 19.9% held an associate degree, 7.6%
completed high school and 0.7% chose other but unsure what
other options were available. This data is important because at
first glance it appears that the respondents with higher degrees
were more willing to take part in the research than those
without.

5. The last demographic is marital status. 59.5% of the
respondents were married, 28.6% were single, 9.3% divorced,
1% widowed and 1.7% chose not to answer. This makes me
wonder since the marital status percent was higher was it due to
partner influence by chance.
Lastly when looking at age, I ran descriptive statistics, and the
mean age was 43.34. 18 years old was the minimum and 76 was
the maximum.
Community Service Questions
In the past year, did you participate in community service (e.g.,
for nonprofit)?
For this question 43.5% of the respondents made donations and
contributions while 39.5% went out and volunteered their time.
The other 16.9% made a social media post about community
service but did not engage in the actual activity. This shows that
more individuals were willing to make monetary contributions
instead of going out in the community and engaging in the
activity.
How often do you post about a community or nonprofit issue?
Some of the respondents (24.4%) reported that they rarely post
about a community issue and next are 17.8% who post several
times a year and 13.3% that post more than once a week. I am
somewhat surprised with the popularity of social media that the
percentage of those who rarely post was higher among the
respondents.
How often did you participate in community service in the past
year?
31.7% of the respondents reported that they participate several
times a year, followed by 18.6% that reported they rarely
participate and 12.4% that reported that they participate weekly.
This is intriguing because this plays into the question about the
type of contribution that is being made, whether it’s a financial
contribution or if they are contributing their time.
So far it looks as though more respondents want to contribute

6. money, rather than going out and engaging in community
service. Also it shows that even though social media is a
popular avenue for communication it is rarely being used to
bring light to some community issues or service.
The first RQ I analyzed utilizing a correlation for is RQ3,
“What is the relationship between community service and social
media”? The two variables that were analyzed were how often
do you post about community or nonprofit issues and how often
did you participate in community service in the past year. When
looking at the correlation matrix, the Pearson correlation is 499
which shows that there is a strong correlation and also indicates
that there is a relationship between the variables. This also tells
us that there is a relationship between community service and
social media because those individuals that post about
community issues are more likely to participate in community
service and those who may actively participate in community
service are more likely to post community issues to their social
media accounts. I can conclude that there is a relationship
between community service and social media.
The second RQ I analyzed utilizing a correlation for is RQ4,
“What is the relationship between political participation and
social media”? The two variables that were analyzed were how
often do you post about a political issue and how often did you
participate in political service in the past year? This one was
unable to produce any analysis because one of the variables is
constant. I think this means that there is no correlation or not a
strong correlation between the two variables. I conclude that
there is no relationship between political participation and
social media.
The RQ I analyzed utilizing a multiple regression for is RQ5,
“What are predictors of use of social media related to
community service: Demographics: age, gender, race/ethnicity,

7. education”? My dependent variable is “how often do you post
about a community or nonprofit issue” and the independent
variables are age, gender, race/ethnicity and education. When
looking at the Anova box the sig. it is 0.729 which is higher
than 0.05 conventional threshold so the model overall does not
have statistical significance. Next we will look at the
coefficients table. If the sig. is >0.05 then the null hypothesis is
not rejected and this means that there is no impact to the
dependent variable (Warner, 2013).For the demographic
predictor of age the sig. it is 0.373 which is higher than 0.05
conventional threshold so this means that there is no
relationship between age and how often an individual posts a
community issue on social media. For the demographic
predictor of gender the sig. it is 0.791 which is higher than 0.05
conventional threshold so this means that there is no
relationship between gender and how often an individual posts a
community issue on social media. For the demographic
predictor of race/ethnicity the sig. it is 0.459 which is higher
than 0.05 conventional threshold so this means that there is no
relationship between race/ethnicity and how often an individual
posts a community issue on social media. For the demographic
predictor of education the sig. it is 0.882 which is higher than
0.05 conventional threshold so this means that there is no
relationship between education and how often an individual
posts a community issue on social media. What I would
conclude from this data analysis is that there are no
demographic predictors for use of social media related to
community service.
The RQ8 that I utilized for the coding was “what is the
experience of engaging in community service participation?
First, I created coding categories of rewarding, sense of
community, personal satisfaction, meeting like-minded people
and other. This first thing did was run a frequency on my coding
variable. This resulted in showing that 12.5 % of the
respondents described the experience of engaging in community

8. service as rewarding, 45.8 % of the respondents described the
experience of engaging in community service as feeling a sense
of community, 20.8 % of the respondents described the
experience of engaging in community service as having a sense
of personal satisfaction, 4.2 % of the respondents described the
experience of engaging in community service as positive due to
meeting like-minded people and 16.7 % of the respondents
described the experience of engaging in community service as
other reasons that were not coded.
When looking at the pearson correlation, which in .111, this
shows that there is a weak correlation between the variables.
The data suggests that social media use doesn’t play a role in
whether an individual chose to engage in community service.