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Tuesday, January 22, 2019

Tuesday HW!

**AP Exam Registration forms are DUE FRIDAY**

Let's start the second semester strong!

We have two areas of focus for the remainder of the year:

1.) Be thorough. Be detailed. Don't just go through the motions--this applies to completing our homework (no more credit for lazy hw), to writing our answers on quizzes/tests, and to anything else that we do.

2.) Learn from our mistakes! Don't make the same mistake twice! More so, this means putting in the work to learn from our mistakes--look over questions we answered incorrectly, try extra practice, use resources on the blog (and elsewhere online), etc.

**You can still earn stamps (based on examining our midterm data)--due tomorrow--check the blog post below!**

Tuesday HW; we will have a quiz to assess this stuff to start class on Thursday!

1.) Complete the population/sample/sampling frame etc. worksheet provided in class (or below).
  • Answers are posted below--always check! Work to learn, not to finish!






2.) Complete the "Statistics or Parameter" worksheet (or below).
  • You do not have to provide the "correct symbol/mathematical notation for the statistic or parameter," as we have not learned these yet (tomorrow)
  • So instead, simply label each as a "statistic" or a "parameter."
  • Statistic: any value that summarizes/describes a sample of data
  • Parameter: any value that summarizes/describes a population


HW Key (for worksheet #1):


Today's Class Recap:
  • Stamp = get to know your new neighbors
    • Discussed the stamp grade--you cannot ignore all of the stamp opportunities to earn a high grade on your stamps!
    • Q3 will have the highest stamp requirement!
  • We will have a unit test on "methods of data collection," including experimental design, on Friday 2/1
  • AP Registration forms due Friday!
  • Chapter 12 Intro Notes (lots of vocab):
    • 3 parts to chapter 12:
      • Sampling: What is it? Why do we do it? (Tues/Weds)
      • Collecting Samples: HOW--types of sampling methods (Thurs/Fri/Mon)
      • Potential Problems with Samples: Bias (Tues/Weds/Thurs)
    • Sample v. Population
    • Sampling Vocabulary:
      • Sample, Sampling Frame, Population, Population Parameter (of interest), Sample Statistics
      • Parameters v. Statistics: what's the difference? what are they?



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