This is an archival edition. Do not join this wiki.

Hello Statistics Students, Spring 2010

Welcome to our version of Biometrika.

I reread Chapter 2 in LTT and it struck me that having you write "articles" about data you collected would be a nice Authentic Learning/Assessment activity. So what follows will be a self published journal of data and analysis of your data you collected. This will take several weeks to complete and I'm breaking it up into stages. Here is a repeat of the First Assignment:

Think of two pairs of quantitative variables whose relationship you might be interested in studying. (Remember that a quantitative variable is any characteristic of a person or object that can assume a range of numerical values. Be very specific in describing these variables; identify the observational units as well as the variables.

Your final published article will involve creating and performing your own experiment. It must involve measurable quantitative bivariate data with some EXPECTED relationship. You should have at least 30 data pairs (only with permission may you have less). You must MEASURE THE DATA YOURSELF. In other words, you may not get it from a book, the Internet, a printed list, or by asking someone else, etc. Try NOT to pick a “perfect” scientific relationship.

In the past students have done such crazy things as:

How long it takes x numbers of chocolate chips to melt link.

How many days past the full moon vs number of student incidents in a classroom link

Please do something you are interested in. Of course, since you only have two quantitative variables in this experiment, it will be limited.

For this first assignment: Write just enough so someone else can clearly understand what you are thinking of doing without having to ask you to explain it:
• What is the research question? Be very specific about exactly what you are going to measure. What is the case? What are the two variables?
• Try to be specific about where and how you are going to measure it (remember the word replicable). Of course this is a short assignment, so do what you can. • State what type of association you expect between the variables and why.

We'll begin collecting data after next week. You'll have a few weeks to gather the data.

## This is an archival edition. Do not join this wiki.

Hello Statistics Students, Spring 2010

I reread Chapter 2 in LTT and it struck me that having you write "articles" about data you collected would be a nice Authentic Learning/Assessment activity. So what follows will be a self published journal of data and analysis of your data you collected. This will take several weeks to complete and I'm breaking it up into stages. Here is a repeat of the First Assignment:Welcome to our version of Biometrika.Think of two pairs of quantitative variables whose relationship you might be interested in studying. (Remember that a quantitative variable is any characteristic of a person or object that can assume a range of numerical values. Be very specific in describing these variables; identify the observational units as well as the variables.

Your final published article will involve creating and performing your own experiment. It must involve measurable

quantitative bivariatedata with some EXPECTED relationship. You should have at least 30 data pairs (only with permission may you have less). You must MEASURE THE DATA YOURSELF. In other words, you may not get it from a book, the Internet, a printed list, or by asking someone else, etc. Try NOT to pick a “perfect” scientific relationship.In the past students have done such crazy things as:

- How long it takes x numbers of chocolate chips to melt
- How many days past the full moon vs number of student incidents in a classroom

Please do something you are interested in. Of course, since you only have two quantitative variables in this experiment, it will be limited.link.linkFor this first assignment:

Write just enough so someone else can clearly understand what you are thinking of doing without having to ask you to explain it:• What is the research question? Be very specific about exactly what you are going to measure. What is the case? What are the two variables?

• Try to be specific about where and how you are going to measure it (remember the word replicable). Of course this is a short assignment, so do what you can.

•

State what type of association you expect between the variables and why.We'll begin collecting data after next week. You'll have a few weeks to gather the data.