Monday, June 26
Hey class, I know we sped through a lot today, but the good news is no new material before the midterm. Today, the major topics were,
1) Spurious relationships
2) Interpreting correlations
3) Null vs. Alternative hypothesis
4) t- tests
5) significant levels and testing
6) Type I and Type II errors
*Important note*
I forgot to mention today, but Wednesday is going to be our review before the exam. I have an assignment for you. For class, type out 3 or 4 multiple choice questions (with answer) that you think could be on the exam. If you write a good one, you may just see it again next week. In addition, the review will only be as good as you make it. I will answer any questions or go over any material you ask, but you have to ask. I will not prepare any formal review. Finally, write me an email ASAP about what day off you want next week.
Question for thought. Today I stressed how a correlation does not show causality. What about a t-test? Explain your reasoning.
1) Spurious relationships
2) Interpreting correlations
3) Null vs. Alternative hypothesis
4) t- tests
5) significant levels and testing
6) Type I and Type II errors
*Important note*
I forgot to mention today, but Wednesday is going to be our review before the exam. I have an assignment for you. For class, type out 3 or 4 multiple choice questions (with answer) that you think could be on the exam. If you write a good one, you may just see it again next week. In addition, the review will only be as good as you make it. I will answer any questions or go over any material you ask, but you have to ask. I will not prepare any formal review. Finally, write me an email ASAP about what day off you want next week.
Question for thought. Today I stressed how a correlation does not show causality. What about a t-test? Explain your reasoning.
posted by Dr. Jeffrey Bolt at 1:06 AM
2 Comments:
A t-test shows a relationship, but just because a variable is related with another variable does not mean that it causes the second variable. A t-test simply proves if a hypothesis is true or false, and the opposite is implied. As stated in class, nothing in this field is ever proven with 100% certainty. (Emily Casane)
You're hot!
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