State the topic of your study as a research question AND as a specific hypothesis that you tested; your specific hypothesis should note a statistically significant result that you expected to find AND the practical reason that you expected this result (your rationale).

) Collect data b) Conduct t-test analysis, using guidelines below
Data Collection Options: The following are suggestions on where you can collect data. 1. Reliable/reputable websites (e.g., sponsored by the census bureau, professional sports leagues, universities, real estate agencies, car manufacturers, consumer groups, financial institutions, well- known product manufacturers, restaurants/fast food companies, weather tracking agencies, county/city/state/federal government organizations, etc.)
Project Design There are 3 project design options for the t-test project, listed below. To see components and examples for each type of project design, consult the t-test Project Examples Word document or the t-test Project Resources PowerPoint file.
A. The 1-sample t-test (Sample size must be at least n = 40.) B. The matched pairs t-test (Sample size must be at least n = 40.) C. The 2-sample t-test (independent samples) (Sample size must be at least n = 50. You may split this across your two samples; for example, you may have two independent samples of size 25, or one of 27 and another of 23, etc. Although your independent samples are not required to be identical in size, it is better if the sample sizes are similar.)
t-Test Project Instructions and Rubric
Your final report should include the following 10 sections: Introduction, Population(s), Variable(s), Data Collection, Study Design, Results Descriptive Statistics, Results Confidence interval(s), Results Hypothesis Test(s), Findings, and Discussion.
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Added on 01.03.2016 18:19
All portions of the rubric that will be used to grade your paper are included in the discussion below. There are 20 items in the grading rubric. Each is worth a maximum of 5 points for a total or 100 points. The layout of the rubric is as follows: Item Name Performance necessary to achieve 5 points. Performance necessary to achieve 4 points. Performance necessary to achieve 0 to 3 points.
Introduction. State the topic of your study as a research question AND as a specific hypothesis that you tested; your specific hypothesis should note a statistically significant result that you expected to find AND the practical reason that you expected this result (your rationale).
Overview of Research
Stated clearly: (1) Research question, (2) Expected findings, (3) Rationale
Two of the three criteria at left are satisfied.
Research question and expected findings not stated clearly. Rationale not explained.
Population(s). Define clearly the population(s) that you intend for your study to represent. (Examples: all NFL football players, all cars manufactured this year, all biology majors at NGCSU, all small towns in the Southeastern U.S., all shoppers at the Daytona Beach Wal-Mart, all houses for sale in Metro Atlanta, etc.)
Research Population Specified
Targeted population(s) well- defined and appropriate.
Reasonable target population(s) defined, but not fully appropriate
Target population(s) of research project not defined, poorly defined, or incorrect.

t-Test Project Instructions and Rubric Page 3 of 7
Revised 6/10/13
Variable(s). Define clearly the variable(s) that you will obtain during your data collection (e.g., gender, age, salary, price, miles per gallon, score on a particular personality test, miles commuted one-way to school daily, major, etc.) This must be specific: time spent watching TV is too vague; number of hours spent watching TV in the last 3 days would be specific enough. If your variable is a measurement (e.g., height) give units (e.g., inches). If your variable is a score (e.g., on a personality quiz), give the range of possible scores (e.g., 0 to 15).
Definition of Variables
Research variable named; measurement and possible values of variable are clearly defined.
Research variable named, but details are lacking on how variable is measured or quantified.

Research variable not adequately defined.
Data Collection. Describe your data collection process and sampling strategy. If you located data on a website, provide the URL and tell how you selected individuals from that website to include in your sample. If you obtained data from an agency, office, store, or other similar source, explain where you went and how you selected items to include in your sample. If you collected measurements, describe the device you used (e.g., tape measure, odometer, scale, stopwatch, etc.) No matter what data collection process you used, address: a) what steps you took to avoid bias in your sample; and b) whether you believe the sample(s) you obtained were representative of the population. Tell why or why not. Include a table with your raw sample (not summarized) data as an appendix at the end of the report.
Data Collection: Data Sources, Instruments, Measurement

Data collection procedure explained fully, including (1) Source of data identified clearly (website address, etc.), (2) Sound measures taken to ensure accuracy of data, (3) Copy of survey, description of measurement procedures, or other specific data collection details provided.

Two of the three criteria at left are satisfied.

Ineffective data collection procedures OR poor description of data collection procedures.
Data Collection: Sampling
(1) Sampling strategy explained fully, (2) Sound measures taken to avoid bias explained, (3) Representative sample addressed adequately.
Two of the three criteria at left are satisfied.
Ineffective sampling procedures OR poor description of sampling strategy.
Data Representation: Raw Data

Raw sample data (not summary data) are included in the study in a complete and organized manner.
Raw sample data (not summary data) are given, but presentation is incomplete or disorganized.

Raw sample data used in the study are not provided.

t-Test Project Instructions and Rubric Page 4 of 7
Revised 6/10/13
Study Design. Identify the statistical test you conducted to analyze your data. Also tell which type of design you used (one-sample, matched pairs, etc.) Give other design details (e.g., was it1-sided or 2-sided? Left-tailed or right-tailed?) State your null and alternative hypotheses, both in words and in appropriate mathematical symbols. If you used a matched pairs design, explain clearly how the pairs of values were matched and how the difference was computed (e.g., by subtracting before after, left right, etc.)
Statistical Test and Hypotheses Statement

Correct statistical test and type of design used. Null and alternative hypotheses stated correctly in words AND in mathematical terms.

Some errors in statement of statistical test and type design. Null and alternative hypotheses stated correctly in mathematical terms but not in words or vice versa.

Type of statistical test and/or type design stated incorrectly. Null and alternative hypotheses not stated in mathematical terms or stated incorrectly.
Results: Descriptive Statistics. Give descriptive statistics (sample size, mean, standard deviation, and 5-number summary) for each data set. Note that t-tests for 2 independent samples will require statistics for 2 sets of data– one for each of the two separate samples. Matched pairs t- tests will require statistics for 3 sets of data– one for each of the 2 related values (e.g., before and after) and another one for the difference between each pair of numbers. Report each set of descriptive statistics using an appropriate table and chart. All tables and charts should be placed directly in your report. Discuss the implications of the descriptive statistics in terms of your research problem. Discuss whether the conditions necessary for the confidence intervals and hypothesis tests you used are satisfied and support your discussion with appropriate charts/graphs.
Descriptive Statistics: Research Variable

For each data set, research variable is described fully, using mean, standard deviation, 5- number summary and appropriate charts and/or graphs.
A summary of the research variable is given for each data set, but at least one summary is incomplete. Charts and

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