TC3 → Stan Brown → Statistics → Field Project
revised 2 Jan 2010

Field Project

Copyright © 2003–2010 by Stan Brown, Oak Road Systems

Summary:  Your field project will apply what you have learned about inferential statistics. You will formulate a question, plan your project, collect or find sample data, perform a hypothesis test to answer the question, and submit a written report. This represents about 20% of your course grade, and you may earn extra credit by presenting your project to the class.

Contents: 

Ideas

You should pick a question that matters to you, probably in your professional field of interest, or perhaps a cherished hobby. Finding it hard to get started? The following ideas from past projects may help, but be creative! Remember that originality is part of your project grade.

(Colors of M&Ms are a class example, so don’t do a project about colors of candies unless it’s substantially different.)

Caution:  Make sure you’re doing inferential statistics. Remember Chapter 1? Inferential statistics is taking a known sample and testing a claim about the whole population. If data are known for the whole population, no matter how interesting, that’s descriptive statistics and it’s not material for a Field Project.

Plans for Your Project

In real life and in school, advance planning is the key to quality work. You have an excellent chance of a good grade on your project without sending your stress level through the roof if you plan ahead in this way:

The Field Project Plan might seem like extra work, but how does it benefit you?

First, it’s your insurance policy. You know that your project topic and your general approach to the analysis are acceptable, so if you follow through you will do quality work and your grade will reflect that. Without an approved plan, you’re taking the risk of analyzing your data wrong — even worse, you might pick a topic of descriptive statistics instead of inferential statistics, which would make your entire project unacceptable.

Second, with an approved plan you can choose to present your project to the class for up to 15 points extra credit. That’s usually enough to raise your final course grade a notch, for example from a B+ to an A− or from a C− to a C. Please see Project Talk below.

To give you an incentive not to put the project off till the last minute, no approvals will be given after the mid-class break on the date shown in the schedule.

Again, remember to allow time for revisions to your plan. If you wait till the last day to start the process, there’s very little chance you’ll have enough time to complete those negotiations and revisions in a last-minute rush.

Data Collection

Sample Size

For your own original data, around 50 attribute responses or 35 numeric responses per sample are acceptable. (For Case 6 or 7, plan your sample size so that, according to your model, all the E’s are ≥5.) While a bigger sample size is almost always better, don’t make yourself nuts over this project. You’ll need time for designing your study and analyzing your data.

If those sample sizes aren’t practical, or if you’re using published data, please discuss sample size with Prof. Marvel in advance.

Survey Guidelines

If you’re taking a survey to gather data, please follow the guidelines in this section very carefully. These are TC3’s rules, not mine, so I can’t accept a project that doesn’t have the required approvals.

Survey form: At a minimum, you must include the following, prominently:

Make sure nothing on the form lets you identify the respondent personally.

Approvals: Before you distribute any survey, you must obtain all required approvals in writing; allow extra time for this.

Attach all approvals to your project when you hand it in.

Survey technique:

Have respondents fill out a form and put it in a closed container. This is essential both to protect respondents' privacy and to ensure accurate answers or at least make them more likely. Because people being interviewed tend to answer what they think the interviewer wants to hear, it’s not acceptable just to ask people a question and write down their answers.

If you want to distribute your survey during a class, be sure to arrange this with the instructor well in advance, but understand that instructors may not have time. In any class where you distribute a survey, you must announce that this is voluntary and not a class requirement.

TC3 Survey Guidelines must be followed. Please see <http://www.tc3.edu/dept/ir/guidelines.asp> for the full guidelines.

Data from Other Sources

You need not collect the data yourself. In your report, cite your source (see the TC3 library’s Citation Guide if you need help) and attach a printout, photocopy, or tear sheet as appropriate. (If you collate data from many sources, please talk to Prof. Marvel before copying or printing many sheets of paper.)

The Office of Institutional Research provides anonymized data from the TC3 student database for many types of requests. You can obtain data for most requests yourself by visiting http://www.tc3.edu/dept/ir/math200.asp. If you need other forms of student data, please consult with Kristine Altucher at least two weeks in advance to find out whether your request can be filled and to allow enough time for her office to prepare the data.

When you use the student database, remember you must do inferential statistics. That means you must take a sample and use it to test a claim about a larger population. Think carefully about what population you are testing with your sample.

Project Report

Your project report will document what you did, and it is the basis for your grade. Treat this like any other important presentation: proofread it to make sure you actually said what you mean to, check spelling and grammar, use technical terms correctly without “snowing” your audience, and so on. (If your English skills are shaky, you may want to consult with a writing tutor in the Baker Center.) Staple or bind everything together in order; don’t waste your money on a report cover.

How long should the report be? Long enough to cover the things listed in the Grading Rubric, below and no longer. Don’t try to pad it to make it look more impressive.

Attach your approved Field Project Plan, either the paper signed by Prof. Marvel or a printout of the email approval. For a survey outside TC3, also attach your approval from the Office of Institutional Research. I can’t accept a survey project without the proper approval(s).

Project Talk

For extra credit, on project day you may present your project to the class. The maximum time is five minutes, but you can take less time if you don’t need it all.

See the last section of the Grading Rubric for the points you need to cover in your presentation. You may use any notes or visual aids that you want, but visual aids aren’t required.

A signup sheet will be available at the previous class meeting. You must sign up then if you want to present your project to the class. Presentations will be in random order, not signup order.

Only students who have done their project according to an approved Field Project Plan may earn extra credit.

Grading Rubric

Please follow this order, to ensure that you get full credit for your work.

Sampling and Analysis (33 points)
4In a paragraph or two, describe the problem. Give the reason for your interest. State in English the question or claim that you will test.
2Give the data type. Be specific.
3Give the case number (2) and description (1) from Inferential Statistics Cases
5Identify the population about which you’ll make your test. What is its size?
8Sampling procedure: How large was your sample and how did you decide on that sample size? How did you choose the members of the sample? Describe your method of collecting data, including where and when.
−8(Deduct 8 if sample size is below requirement, unless approved by Prof. Marvel)
4List all significant sources of bias. How could they be avoided, if you had more resources?
If you think the answer is “no sources of bias”, say so; don’t feel you must make something up. Refer to Chapter 1 to be sure you know what “bias” means.
7Summarize your data, including appropriate sample statistics.
Don’t list individual values at this point. For numeric data, use an appropriate chart or graph and give , s, and n, plus the median if appropriate. For binomial data, show a count of each response to each question with , but don’t list all the individual responses. For categorical data, show the responses and frequencies in an appropriate graph or chart.

Refer to Chapter 2 for appropriate methods of summarizing data.

If you obtained data from a published source, cite the source.

Hypothesis Test (52 points)
10State hypotheses in symbols (5) and English (5). Example:

H0: p = 0.1, 10% of car trips are made in a Subaru

H1: p > 0.1, more than 10% of car trips are made in a Subaru

(Case 6 and 7 hypotheses are in English only, 10 points.)

6Demonstrate that requirements are met.
2Give appropriate α and justify your choice.
5Draw the curve, shade appropriate region(s), and label features as in class.
10Show TI-83 screen name, inputs, and outputs for computing test statistic and p-value.
5Apply the decision rule in statistical language.
8Draw your conclusion in English.
Make sure you actually answer the question or decide on the claim that you identified at the beginning of your report.
6Compute a confidence interval (2), with an appropriate confidence level (1), and interpret it in English (3).
General (20 points)
10Standard English spelling and grammar
6Professional appearance (neat handwriting won’t count against you)
4Attached at end: original data sheets

Attach your original data sheets, no matter how messy they might be. Never rewrite data sheets to make them look neater. If your survey was on slips of paper, put them in an unsealed envelope.

If you obtained data from a published source, cite the source and include a copy, as explained above.

−5(Deduct 5 if report not stapled or otherwise permanently fastened)
Optional: Presentation to Class (extra credit, up to 15 points)
1Purpose of study clearly stated: What claim was being tested?
2Data type and case number
1Choice of α and the reason
2Hypotheses clearly stated in symbols (except words for Cases 6 and 7)
1Population clearly described and size given
2Sample and sampling technique clearly described; largest possible bias (if any) briefly mentioned
1p-value clearly given; no need for calculation details
2Conclusion clearly stated in English; neutral language if appropriate
1Audience questions fielded clearly; or questions were solicited but none asked
2Presenter is well prepared, no stumbling or floundering

Field Project Plan

Instructions: Either print out this form and write in your answers, write your answers on separate paper, or email just the answers (in plain text) to Prof. Marvel.

  1. My name (first&last) is...

  2. I intend to test this claim...
    (A claim is a declarative sentence, not a question.)

     

  3. I will use this case number...

  4. My hypotheses in symbols are...
    (Use words for Cases 6 and 7.)

     

  5. My data collection plan is...
    (Answer whichever one of these applies.)

     

  6. I plan sample size(s) of...

     

  7. The population size is...
    (Remember that the population must be quite a bit larger than your sample.)

     


This page is used in instruction at Tompkins Cortland Community College in Dryden, New York; it’s not an official statement of the College. Please visit www.tc3.edu/instruct/sbrown/ to report errors or ask to copy it.

For updates and new info, go to http://www.tc3.edu/instruct/sbrown/stat/