Suggested Midterm Review HW:
- Complete 2018 Free Response #5 (provided in class yesterday, or in the link below)
- Score your response--this will allow you to check your understanding, and it will also give you some insight into how I will be grading your midterms!
- Link to ALL released FR and Scoring Rubrics
- Go to 2018 and click on "Free Response Questions," the scroll to #5 for the suggested HW
- You can also look at all 6 questions from last year's free response!
- Choose the "scoring guidelines" (for 2018) to see the scoring rubric--scroll down to #5 for the suggested HW
Weekend HW:
Page 313 - 316: 7abcdefg, 29bc, 31ac
- *Note: the questions for #7 parts abcdefg are on page 313, but the actual #7 on page 314
Today's Class Recap: (slightly varies by period)
- Stamp = midterm review (linear regression)
- Homework Review/Questions...
- Discussed migraine context and the answers to each question
- Notes on blinding
- Discussed confounding variables and how to write about confounding variables using the smoking/Alzheimer's context (middle right slide, or in post below)
- Notes on confounding variables
- Back to blocking and Carofangrow...
- Discussed how to design a completely randomized, blocked experiment
- Why do we use blocking? How do we use blocking?
- How do I choose a variable to block by (and explain why we chose that block)?
- Provided a list of all questions students asked after reading the chapter, with all responses--read this stuff!
On Tuesday we will start class with our chapter 13 vocabulary quiz: here's the list so you can start making your flash cards or a quizlet...
- Experiment (treatments randomly assigned)
- Observational Study (no manipulation of factor--no assignment of treatments)
- Retrospective Observational Study
- Prospective Observational Study
- 4 Principles of experimental design (what are the 4?)
- Factor (the IV, the explanatory variable, the variable we manipulate in an experiment)
- Levels (the specific values of the factor)
- Treatments (the "groups" we create--if there is one factor the levels = the treatments; if there are multiple factors, each factor has its levels, and the treatments are all of the different "overall" groups we create)
- Response Variable (the data we collect--what we're measuring in a study)
- Random Assignment (where does it happen in an experiment?)
- Control Group (a group that receives a baseline treatment, typically a placebo, used for comparison)
- Replication
- Blocking
- Blinding (single v. double blind)
- Placebo
- Confounded/Confounding Variable
- Matching (this is when the subjects in an observational study are paired based on some characteristic--we are specifically pairing two data values)
- Statistically Significant
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