Project submission expectations: Your can submit your project in your choice of format as long as the required items are included. A written “report” document is the standard format but there are two...

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Project submission expectations:
Your can submit your project in your choice of format as long as the required items are included.
A written “report” document is the standard format but there are two examples of more-creative
formats in the Term Project Information folder of Laulima Resources. One of these is a
YouTube video on superheroes and the other is in a magazine article format on sunscreen.
Required elements of your project submission and their contribution toward your project score.
● Introduction and initial expectations and data collection (75 point maximum)
○ The project topic (even if a pre-selected one was done) needs to be stated. Why
this topic was chosen is optional for a pre-selected topic but expected for a
student-created project topic.
○ Describe what you expected to see at the start of the project, before looking at
your data. You will later compare these initial thoughts to your actual data
analysis and conclusions.
■ If you chose one of the pre-selected project topics, do you think you will
see a difference between age groups, between genders, between
frequency of dining out, and/or between engagement status/history? Why
do you think you will see such differences? It is also fine to think you will
not see any differences between these groups.
● A student who created their own project topic would provide
analogous predictions for whatever potentially-explanatory
variables they collected data on.
■ For those who plan to make a comparison based on age (as is the case
for the pre-selected project topics), what age would you use to separate
those who are “older” from those who are “younger”? Why did you
choose that age?
● For example, you might say that anyone up to 19 is “younger” and
anyone 20 or over is “older” because you think (as one of my
former 19-year-old students did) that 20 years old is “old.”
● You might choose instead to treat age as a ratio-level numeric
variable and calculate correlation and regression instead of
comparing “older” and “younger.” In this case, you would not need
to specify the cutoff between “older” and “younger.”
○ Describe how you first planned to collect data and, if appropriate, explain any
changes to these initial plans that were made.
● Presentation of the data (100 point maximum). Note that the items listed below are
tailored to the pre-selected project topics. Comparable items should be included for
project topics that were student created.
○ Demographic summaries, statistics, and graphs are included.
■ Calculate and include the mean and sample standard deviation of the
nonzero ages.
● If you will be comparing “older” and “younger” subgroups, also
include a table and a pie chart or bar graph showing the percents
of your survey participants who are “older,” participants who are
“younger,” and participants who declined to reveal an age.
● If you will not be comparing “older” and “younger,” include instead
a table and a histogram showing the distribution of ages.
■ Include a table and a pie chart or bar graph showing the gender
breakdown of your survey participants (male, female, other/decline to
reveal).
■ Calculate and include the mean and sample standard deviation of the
nonzero ages of those who identified as male.
■ Calculate and include the mean and sample standard deviation of the
nonzero ages of those who identified as female.
■ Calculate and include the mean and sample standard deviation of the
nonzero ages of those who identified as other or declined to reveal a
gender identity.
○ Overall descriptive statistics are calculated
■ Tip project:
● Calculate and include the mean and sample standard deviation of
all of the responses to the appropriate tip percent for just-okay
service.
● Calculate and include the mean and sample standard deviation of
all of the responses to the appropriate tip percent for excellent
service.
■ Engagement ring project:
● Calculate and include the mean and sample standard deviation of
all of the responses to the dollar amount cost of an engagement
ring.
○ Sub-group data. For these, it would be helpful to use the ​sort or filter (new
tab/window)​ your data in a spreadsheet.
■ Tip project:
● Calculate and include the mean and sample standard deviation of
the just-okay service tip percents only for those who identified as
males.
● Calculate and include the mean and sample standard deviation of
the just-okay service tip percents only for those who identified as
females.
● Calculate and include the mean and sample standard deviation of
the excellent service tip percents only for those who identified as
males.
● Calculate and include the mean and sample standard deviation of
the excellent service tip percents only for those who identified as
females.
● If you are separating individuals into “older” and “younger”
categories, do not include those who answered 0 for their age
(prefer not to reveal) and complete the following:
○ Calculate and include the mean and sample standard
deviation of the just-okay service tip percents only for
those who are identified as older.
○ Calculate and include the mean and sample standard
deviation of the just-okay service tip percents only for
those who are identified as younger.
○ Calculate and include the mean and sample standard
deviation of the excellent service tip percents only for those
who are identified as older.
○ Calculate and include the mean and sample standard
deviation of the excellent service tip percents only for those
who are identified as younger.
https://youtu.be/nSo_Ops5o2w
https://youtu.be/nSo_Ops5o2w
● If you are treating age as a ratio-level variable then do not include
those who answered 0 for their age (prefer not to reveal) and
complete the following:
○ Create a scatter diagram that shows the relationship
between the nonzero ages with the just-okay service tip
percents.
○ Calculate the correlation coefficient for the nonzero ages
and the just-okay service tip percents.
○ Create a scatter diagram that shows the relationship
between the nonzero ages with the excellent service tip
percents.
○ Calculate the correlation coefficient for the nonzero ages
and the excellent service tip percents.
● Calculate and include the mean and sample standard deviation of
the just-okay service tip percents only for those who dine out at a
sit-down restaurant seldom or never.
● Calculate and include the mean and sample standard deviation of
the just-okay service tip percents only for those who dine out at a
sit-down restaurant sometimes.
● Calculate and include the mean and sample standard deviation of
the just-okay service tip percents only for those who dine out at a
sit-down restaurant more frequently.
● Calculate and include the mean and sample standard deviation of
the excellent service tip percents only for those who dine out at a
sit-down restaurant seldom or never.
● Calculate and include the mean and sample standard deviation of
the excellent service tip percents only for those who dine out at a
sit-down restaurant sometimes.
● Calculate and include the mean and sample standard deviation of
the excellent service tip percents only for those who dine out at a
sit-down restaurant more frequently
■ Engagement ring project:
● Calculate and include the mean and sample standard deviation of
the engagement ring dollar costs only for those who identified as
males.
● Calculate and include the mean and sample standard deviation of
the engagement ring dollar costs only for those who identified as
females.
● Create and include a contingency table comparing gender with the
months’ salary engagement ring cost.
● If you are separating individuals into “older” and “younger”
categories, do not include those who answered 0 for their age
(prefer not to reveal) and complete the following:
○ Calculate and include the mean and sample standard
deviation of the engagement ring dollar costs only for those
who are identified as older.
○ Calculate and include the mean and sample standard
deviation of the engagement ring dollar costs only for those
who are identified as younger.
○ Create and include a contingency table comparing age
group (older and younger) with the months’ salary
engagement ring cost.
● If you are treating age as a ratio-level variable then do not include
those who answered 0 for their age (prefer not to reveal) and
complete the following:
○ Create a scatter diagram that shows the relationship
between the nonzero ages with the engagement ring dollar
costs.
○ Calculate the correlation coefficient for the nonzero ages
and the engagement ring dollar costs.
● Calculate and include the mean and sample standard deviation of
the engagement ring dollar costs only for those who are or have
engaged.
● Calculate and include the mean and sample standard deviation of
the engagement ring dollar costs only for those who have never
been engaged.
● Create and include a contingency table comparing engagement
status/history with the months’ salary engagement ring cost.
● Data-based conclusions (75 point maximum). As before, this section is rather tailored to
the pre-selected projects. Comparable comparisons should be made and appropriate
conclusions drawn that are supported by the comparisons.
○ Compare the sub-group data with the corresponding overall descriptive statistics.
State any differences that you find notable.
■ For example, if the overall mean of the tip percents for excellent service
was 22% and the mean of just the males was 23%, you might not find the
difference notable. On the other hand, suppose the overall sample
standard deviation for the tip percents was 3.6% but the sample standard
deviation for the males was 1.8% (half as much), you might want to point
that out.
○ State any conclusions that appear reasonable based on the comparisons you
made.
■ For example, in the above example comparison, a conclusion might be
that while the mean (average) tip percent for excellent service for the
males appears to be similar to the mean tip percent for excellent service
for everyone, the males had a much lower standard deviation so there
appears to be less variability in the tipping percent for excellent service by
males than for the general population.
○ State any limitations you feel might exist in your conclusions.
■ A common issue is when there are “too many” of one particular
demographic group or another in the survey. For example, if there were
only 5 “older” individuals compared to 40 “younger” individuals who
participated in your survey, that might limit the applicability of your results.
Your overall sample might not be a good representation of the population
of all Hawaii adults and any comparisons involving the older individuals
would be based on only 5 responses.
Scoring rubric for each section. Intermediate percents might be applied.
● 100%: The section and all required items in the section are correctly calculated/created,
clearly identified, and described in appropriate (statistically correct) terms. Notably, the
introductory section is complete and written understandably; the presentation of the data
section includes the required elements; and the conclusion section is written
understandably with conclusions that are clearly based on the content of the
presentation of the data section.
● 70%: There could be some misleading or insufficiently described items but any such
shortcomings are fairly minor in that they do not substantially change the character or
content of the project itself. The introduction and conclusions sections at least hint at the
required material but some information might need to be inferred since they are not
plainly stated. The presentation of data section might be missing some items that should
have been included but are not needed for the conclusions drawn.
● 50%: The project suggests that the work expected (data collection, data presentation,
and drawing conclusions) was done but issues in the submission (missing and/or
unidentifable work) make it impossible to determine if the conclusions are supported by
the data that was collected and analyzed.
Answered Same DayMay 06, 2021

Solution

Mohd answered on May 07 2021
23 Votes
gender_Cost
Row LabelsAverage of Cost
Female5429
Male3583
Grand Total4263
0.6600877193
Average_Cost_spent...
SOLUTION.PDF

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