Groups: You may choose to work alone (with no penalty),
however groups of two or three people are encouraged. Be careful
to pick people with whom you can work. Turn in a group roster
with your project proposal.
Group Participation: Any member of your group must be able
to present your results to the class (we will have some presentations
at the end of the semester if there is time). Each member of the
group will make a confidential recommendation on the distribution
of the participation points. The instructor will take these recommendations
into consideration when determining the distribution of points.
Presentation of results: You must present your results
in an attractive pamphlet constructed of no more than six 8.5
x 11 inch pieces of paper (you may use both sides). Submit the
original plus one copy for each member of your group in a standard
9 x 12 envelope. There is a collection of old projects that you
can look at for ideas.
The Audience: The audience will be taken to be a PLNC graduate
who satisfactorily completed this course more than five years
ago. She or he will have forgotten all but the most basic formulas;
all that remains is a sense of how one should approach a statistics
problem.
Difficulty: The higher the difficulty level of the project
the higher the grade. One option is to take a simple project and
extend it in some way. For example, your group may choose to do
more examples or treat a harder case.
Depth: Your group must decide how thoroughly to treat the
project. A cursory treatment will result in a lower grade.
Digestibility: Clarity is essential. Statistical information
that is poorly presented is of little use to the consumer. In
keeping with this idea your pamphlet should be attractive, well
organized and clear. The danger is that in the attempt to present
too much information one can confuse the reader.
Format: You are expected to follow the project report format
(see attached)
Basics: Proper grammar and spelling are expected. Correct
computation is also expected.
Grading: The following list gives the number of points
for each category:
| Group Participation | 15 |
| Difficulty | 15 |
| Depth | 30 |
| Digestibility | 20 |
| Format | 10 |
| Basics | 10 |
Your individual grade may differ from your group grade. 10 points
will be deducted for each day that the project is late.
Project Description: In this section, you state the what
(objective) and why (rationale) for your research. you
should clearly state your objective (what are you investigating?)
and your rationale (why are you doing this?).
Data Collection: In this section, you describe how
you will collect your data. This section should include the following:
1. DESIGN: This should contain sufficient detail so that
someone else could repeat your study.
2. VARIABLES: This should include a complete description
of all variables you are measuring and how each variable will
be used to answer your research question.
3. CODEBOOK: This tells how you plan to enter data into
your spreadsheet.
Plans for Data Analysis: How will you analyze your data?
The project report must follow this format!
1. TITLE AND ABSTRACT
The first page of your report contains the title, centered horizontally,
followed by the names of the team members, also centered horizontally,
one name per line. The abstract follows the title, in about the
middle of the page. What is an abstract? An abstract is a very
brief summary of the contents of the report. It should not exceed
a half page. The purpose of the abstract is to provide the reader
with an overview of the report without having to read the details
of the report. The abstract may contain a concise statement of
the research question and the rationale for conducting the study.
It also includes a short summary of the findings.
2. INTRODUCTION
In the introduction, you will discuss the objective and rationale
for you research. You should again summarize your methods and
findings, in more detail than in the abstract, but not in as much
detail as in later sections. Any background information or pertinent
literature should also be included.
3. METHODS
The methods section provides complete detail about your data gathering.
In particular, you should address the design of your study and
how the data was collected. This includes such details as blinding
and randomization. In addition, you should clearly describe all
variables that you measured and how you measured them. This includes
a description of measuring instruments used (often, the brand
and model is specified), how the instruments were used, and the
unit of measure. This section also briefly describes the statistical
methods used, along with a description of computer hardware and
software used. For example:
We used histograms and boxplots to describe the distribution for
all quantitative variables along with means and standard deviations
(or medians and interquartile ranges) to describe the center and
spread of the distribution. Categorical variables were displayed
using bar graphs and tables. All data was analyzed using
Excel on an IBM- compatible personal computer.
4. RESULTS
The results section provides any results of your statistical analyses,
with appropriate reference to tables and graphs. you may include
tables and graphs directly in the section, or may put them in
an appendix. All tables and graphs should be clearly labeled.
Tables should be numbered Table 1, Table 2, and so on,
while graphs should be labeled Figure 1 etc. Each table
or graph should also have a descriptive title. Graph axes should
be clearly labeled with a descriptive variable name and unit of
measure, if appropriate. Variables appearing in tables should
also be descriptive. If using abbreviations, be sure to define
them elsewhere in your report.
5. DISCUSSION
The discussion section is the place to interpret your results
and to provide any explanations. you also should discuss any limitations
of your study (to what population can you generalize your results?)
you can also include any recommendations for future studies.
6. REFERENCES
Be sure to include any references, such as texts and computer
programs.
7. APPENDIX
Include a listing of your raw data and any computer output. Be
sure the appendix is well-organized. If necessary, "cut and
paste" so that only relevant output is included.
Given below is a list of suggested projects. You may design your
own project or choose one of the projects listed. Note that you
may not use human subjects. This means that you may not do
a survey of any sort. If your project requires data from a survey,
the math department has a large data set and I can help you get
the information that you want. It is always a good idea to talk
to a professor in your major department for project ideas.
H.I.V. Testing: The state of Illinois mandated H.I.V. testing
before a marriage license was granted. Discuss sensitivity and
specificity in this test. What are the positive and negative effects
performing this test on a large group of people? Should you be
worried if your H.I.V. test comes back positive? See the American
Family Physician July 1988 (pages 117-122), and January 1989 issue
(page 53) at the UCSD Medical Library.
Library Books: Determine an appropriate sample size, and
then select a random sample of Library shelves (or columns, row,
etc.). Count the number of books on each of the selected shelves.
What can you infer from this sample? How accurate is your inference?
Real Estate: Is proximity to the coast correlated with
median resale price on single family dwellings? What is the appropriate
type of regression needed to model this data? See San Diego Tribune
14-Feb-1993.
Game Show: Examine the odds of winning on an event in a
TV game show. The Price is Right is full of games. Compute the
probability of winning.
Counting Calories: Discuss the statistical methods and
findings of the following paper. What are the implications of
the findings? "Counting Calories--Caveat Emptor" in
the JAMA September 22/29, 1993--Vol. 270, No. 12. (page 1454-56)
This is available at the UCSD Medical Library.
Churches: Examine the district minutes of the Church of
the Nazarene for the same district in two different years. Compute
the ratio of attendance to membership in the first year. Compare
this with the gain or loss in church attendance between the two
sets of minutes. Interpret you results. These are available through
Ryan Library.
Census or NORC data: There are on-line survey data sets
that can be analyzed. Talk to a sociology professor or come see
me for more details.
Common Stocks: Are common stocks a hedge against inflation?
Update the data attached and compare 1970-1986 regression results
to the ones obtained from the post-W.W.II period through 1969.
Stock values and consumer prices, post-World War II period (through 1969)
Rate of change, % per year
| Country | Stock prices, Y | Consumer prices, X | |
| 1. | Australia | 5.0 | 4.3 |
| 2. | Austria | 11.1 | 4.6 |
| 3. | Belgium | 3.2 | 2.4 |
| 4. | Canada | 7.9 | 2.4 |
| 5. | Chile | 25.5 | 26.4 |
| 6. | Denmark | 3.8 | 4.2 |
| 7. | Finland | 11.1 | 5.5 |
| 8. | France | 9.9 | 4.7 |
| 9. | Germany | 13.3 | 2.2 |
| 10. | India | 1.5 | 4.0 |
| 11. | Ireland | 6.4 | 4.0 |
| 12. | Israel | 8.9 | 8.4 |
| 13. | Italy | 8.1 | 3.3 |
| 14. | Japan | 13.5 | 4.7 |
| 15. | Mexico | 4.7 | 5.2 |
| 16. | Netherlands | 7.5 | 3.6 |
| 17. | New Zealand | 4.7 | 3.6 |
| 18. | Sweden | 8.0 | 4.0 |
| 19. | United Kingdom | 7.5 | 3.9 |
| 20. | United States | 9.0 | 2.1 |
Source: Common Stock Values and Inflation: The Historical
Record of Many Countries, National Bureau of Economic Research.
Suppl. March, 1974. table 1. p. 4.
Retail Sales: Using 1990 Census data, and figures from
the California State Board of Equalization and/or the Franchise
Tax, can you say there is a "strong" correlation between
the population of a California county and its retail sales? (Note:
this may not be an obvious "yes" for many reasons.)
Brochure Mailing: Using 1990 Census data: if I have enough
money to mail 10,000 brochures about my new clothing boutique
to "older" women in San Diego county, what percent of
the potential market ("older" women) will I be able
to cover with the mailing? What percent of San Diego county zip
codes does this represent?
Market Share: Using the Pacific Bell Yellow Pages, how many auto dealers in San Diego are there for each auto manufacturer? What percent of the total dealerships does each manufacturer represent, e.g. Toyota, Ford, etc. Can you infer San Diego market share of each manufacturer based on this information? Why?
Research Paper: Discuss the statistical methods and findings
of the following paper. What are the implications of the findings?
The paper is titled "Premature Rupture of the Membranes and
Sepsis in Preterm neonates" and is in Nursing Research
January/February 1991 Vol. 40, No. 1 pages 36-41.
Research Paper: Discuss the statistical methods and findings
of the following paper. What are the implications of the findings?
The paper is titled "Effect of the Position On Cardiovascular
Response During the Vasalva Maneuver" and is in Nursing
Research July/August 1990 Vol. 39, No. 4 pages 198-202.
Research Paper: Discuss the statistical methods and findings
of he following paper. What are the implications of the findings?
The paper is titled "Prevalence of Cigarette Smoking in Hispanic
Women of Childbearing Age" and is in Nursing Research
March/April 1991 Vol. 40, No. 2 pages 103-106.
Research Paper: Discuss the statistical methods and findings
of the following paper. What are the implications of the findings?
"AIDS-Related Risk Factors, Medical Diagnosis, Do-Not-Resuscitate
Orders and Aggressiveness of Nursing Care" and is in Nursing
Research November/December 1990 Vol. 39, No. 6 pages 350-354.
Research Editorial: Discuss the statistical comments and
the thought processes involved in getting work published. The
editorial is titled "Scientific Conversation" and is
in Nursing Research May/June 1988 Vol. 37, No. 3 page 131.
Research Paper: Discuss the statistical methods and findings of the following paper. What are the implications of the findings? The paper is titled "Shared Values: Impact On Staff Nurse Job Satisfaction and Perceived Productivity" and is in Nursing Research May/June 1989 Vol. 38, No. 3 pages 172-177.
NORC data: There are on-line survey data sets
that can be analyzed. Select three or more subgroups from the american
population and run an analysis of variance on some characteristic.
Interpret the results. For more help, talk to a psychology professor or come see
me for more details.