Disjoint but not independent

Post your example of events that are disjoint (no overlap) but not independent (the outcome of the first affects the outcome of the second)

Homework 6.7-6.20

Please answer your homework questions here. Tell us the following information:

• the problem number and a sentence describing what you are asked to do.
• tell us that the data are independent.
• state your conclusion.

Be sure to read each others' comments.

Guess what? It Works!!!

So it appears that posts work if Mrs. Hankes adds authors. You get an email verification, and you click it, and you can add! Sweetness...

Reading 4.3 Confound it all!

The section 4.3 in the text discusses what constitutes good evidence for causation among variables that show a strong association. We must be careful in claiming causation because a strong association may be due to causation, common response, or confounding results.

Think of two variables, not referenced in the text, that are commonly claimed to associated by a causal relationship. In your response, tell us the variables and whether you believe they are related by causation, common response, or perhaps confounding results. Be sure to support your position.

How do we reduce the risk of common response and confounding results? (You do not have to answer this question in your post)

I will comment first, just to give you an idea of what to do.

P.S. If you want to be able to post (not just comment) I will need your gmail address to add you as an author.

Can you Blog?

Blogging can be a useful way to help each other and ask questions. See if you can respond to this blog. Remember: what you post is readable by the entire world.