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Monday, January 28, 2019

Monday, Monday, Monday!

Back to the grind!

**Be sure to turn in your AP Registration Form if you have not done so yet! This is critical!**

Monday HW: 2014 AP Free Response (provided in class or below)

1.) Complete
2.) Score
3.) Record notes on your scoring 
  • Part (a) = back to some unit 1 concepts!
  • Part (b) = understanding sampling methods AND connecting to bias....
    • First, determine which method is better....
    • Then, explain why--what could go wrong with the worse method? By "go wrong" we mean why might our sample not represent the population in regard to the response variable being measured (for the "bad" method)?
  • Do your best on each part and then use the rubric to score your response, take notes--this is an exercise of learning from (potential) mistakes and using a given answer to work backwards and strengthen/develop our understanding!

Today's Class Recap:
  • Stamp = Sampling MC
  • Class Discussion/Notes (15ish min):
    • Stratified v. Cluster Sampling
    • How are they similar? Different? When do we use each?
  • Completed 2011 AP Free Response with neighbors (10-12 min), then discussed these (more focus on cluster v. stratified sampling)
  • Tomorrow (and Wednesday) = bias! 
  • Thursday = review
  • Friday = Unit Test (Methods of Data Collection)

We will have our chapter 12 vocab quiz to start class on Wednesday (so I can get them back to you Thursday to use to study). Here's the list so you can start studying:
  • Sample
  • Population
  • Sampling Frame
  • Sample Statistic
  • Sampling Variability
  • Sample Size (know it's represented by n and that it is NOT based on population size; sample size is based on a given margin of error--how precise we want our estimate of a parameter to be)
  • Response Variable
  • Population Parameter
  • Simple Random Sample
  • Stratified Random Sample
  • Cluster Random Sample
  • Systematic Sample
  • Census
  • Multistage Sample
  • Voluntary Response Sample
  • Convenience Sample
  • Bias
  • Voluntary Response Bias
  • Nonresponse Bias
  • Undercoverage
  • Response Bias



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