Population

Before beginning your project, please thoughtfully think about the following questions.

 

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1.

What population(s) will you be studying?

 

2.

What two variables would you like to observe/collect from each population member?

 

3.

Is your study observational or experimental?

 

4.

What is your hypothesis about the relationship between those variables?

 

5.

How will you gather your sample data to allow it to be as random as possible?

 

 

This project should be unique to you, each student will have their own project and data. For your project report,

please address the following issues/topics:

 

 

I.

Data Gathered & Hypotheses (describe what data you gathered and what relationships were you

hoping to discover between your variables).

 

II.

Method of Sampling

 

III.

Systematic Flaws – explain why your sample may not be random, and explain any bias that is likely

to be present (measurement, response, non-response).

 

IV.

Methods Used – What tests did you use to test your hypotheses?

Were the requirements of the tests satisfied?

 

V.All estimates of population parameters and their maximum errors with confidence intervals.

 

VI.

Detail of hypothesis tests. Use plain language, give p-values, explaining the significance of your

observations and conclusions. Try to explain things for a typical reader.

 

VII.

Conclusion. Did the data support your claim? Again, explain things for a typical reader.

 

VIII.

Included printouts from StatDisk, Excel, or any other computer program. Also, include any outside

resources you might have used.

 

 

You will use StatDisk (www.statdisk.org) to perform your confidence intervals, test for normality, and

hypothesis tests. Please perform the tests below:

 

 

Confidence Intervals for all means given.

 

Test for Normality.

 

 

Depending on the types of variables involved, you would also do one of the tests below

 

 

Matched-Pair Test for Two Means.

 

Test for Two Means/Independent Samples.

 

Test for Test for Correlation between Two Variables.

 

Goodness of Fit Test.

 

Contingency Table Tests.

 

Analysis of Variance.

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