descriptive statistics tables.

It is a research assignment for the following question:  Does car weight, seating capacity, type of transmission, and size of the car affect gas mileage?

 come with references and all the information that is needed for the Descriptive Statistics table which will have to be calculated in Excel.

GBA 334 Group Project Guidelines

Instructions:

The Decision Models term project is fairly flexible in terms of the types of projects that are acceptable.

You may come up with your own project topic or choose from the list of topics below. In either case, the

project topic must be approved by the professor. Each group is expected to prepare a full report that

addresses all areas noted below. At the discretion of the instructor, this may include (a) make a short

PowerPoint or Prezi presentation to the class reporting on their project (18 minutes including Q&A), or (b)

writing a paper. Either way that is chosen, each group must submit files containing all of the projectrelated

materials (e.g., Excel files, PowerPoint presentation files, Word files, etc.). Sample topics include:

? Conduct an analysis of a real decision problem (personal or managerial) that you are familiar

with.

? An analysis of an important decision problem (again, real) “in the public domain”.

? An experiment involving decision making and decision-analytic tools.

Group Selection: Students will form into groups of 4 or 5 and notify the instructor via course e-mail

the names of the group members no later than Sunday 11:59 PM EST/EDT of Module 2.

Proposal: Submit a Research Proposal for instructor approval that includes your main variables, any

control variables, how they are labeled, what your value ranges are, your specific data source, and

your tentative research question. Submit the research proposal to your assigned groupís Dropbox

basket no later than Sunday 11:59 PM EST/EDT of Module 4. (These Dropbox baskets are linked

to Turnitin.)

Final Report: As mentioned earlier, this project can be a written report, a PowerPoint or Prezi

presentation, or a combination of the three. Regardless of the form the presentation takes, it must

include the following areas:

? Introduction ñ What was your project? Why did you choose the topic? What was the main

research question? How did completing this project demonstrate Saint Leo Universityís core

value of excellence?

? Data ñ What was your data source? What dates did it cover? What was the web site you

obtained it from? What variables did you include? Identify all dependent and independent

variables. What were their values and what do those values signify?

? Descriptive Statistics ñ for your primary variables, be sure to include Table 1 below (you can

cut and paste it into your document if you like).

? Graphs as appropriate ñ scatterplot, histogram, pie chart, etc.

? Testing Conducted ñ what type of test did you conduct? What were the results?

? Conclusion ñ Wrap up your report in a concise manner. Clearly state what you learned from

the results and any potential shortcomings of your analysis.

Table 1 ñ Descriptive Statistics for ?????

Add descriptive statistics measures as needed for your project.

Statistic ????? ?????

N ? ?

Mean ? ?

Std. Deviation ? ?

Skewness ? ?

Minimum ? ?

Q1 ? ?

Median ? ?

Q3 ? ?

Maximum ? ?

Submit the final report to your assigned groupís Dropbox basket no later than Sunday 11:59 PM

EST/EDT of Module 7. (These Dropbox baskets are linked to Turnitin.)

Possible Project Ideas:

? How does gas mileage depend on the [blank] of the vehicle? [Blank] could be weight, engine size,

seating capacity, size (e.g. compact, sub-compact, SUV), etc. There should be multiple predictor

variables included.

? How does the gender distribution of grocery store customers depend on [blank]? Here, [blank]

could be the day of the week, the time of day, the location of the store, etc.

? Is there a relationship between [physical measurement] and [sports performance]. The [physical

measurement] could be hand span, length of inseam, length of foot, etc. The [sports

performance] could be free throw percentage, time for 50m sprint, etc.

? Does [measurement] depend on the area of town? The [measurement] could be the average

street width, the distance between fire hydrants, the width of the yard between the curb and the

sidewalk, etc.

? Can [statistic] predict [outcome]? Statistic can be virtually any published statistic for any

professional or amateur sport. Outcome can be wins, playoff appearances, title game

appearance, championships, etc.

? Are [locations] adequately staffed during peak hours? Using queuing theory, determine if movie

theaters, restaurants, etc. are staffed appropriately.

? Does [nutritional content] or other predictor measure(s) of a cereal affect its price?

Group Project Presentation Rubric

GBA 334

Group #

Team Members

Requirements Description 5 4 3 2 1

Introduction Explained the project

Explained the purpose

Integrated core value of excellence

Presented main research questions

Previewed main points

Body Data Described data source

Described timeframe

Properly referenced sources

Identified all dependent variables

identified all independent variables

Descriptive Stats n

Mean

Standard Deviation

Min

Q1

Median

Q3

Max

Skewness

Stats Adequately Discussed

Methodology Tests described adequately

Results properly discussed

Conculsion Wrap-up

Takeaways discussed

Score: _____/200

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