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Tuesday, March 10, 2020

2 Thangs 2night

2's Day HW:

1.) Please complete the "Chapter 19/20" MC provided in class (or linked below):

  • Ch. 19/20 MC (Tuesday's HW--Click Me!)
  • Do this the same way you would do MC on the AP exam--that means NO CONDITIONS, use your calculator to skip showing lots of work, and read carefully!
  • #1: first, narrow down your options--you should be able to determine if the interval gets wider (A or B) or more narrow (C or D) based on the change to sample size....
    • Then...diminishing returns....
  • #2: use your formula sheet! (test stat = (stat - parameter)/st. error.)
    • I would recommend writing the hypotheses first, so you know what # is in the Ho
  • #3: use your calc, get the pvalue, consider the conclusion!
  • #4: review! use your notes to calculate the sample size!
  • #5: you got this. use your notes.
  • #6: Again, you got this; consider yesterday's stamp or today's stamp MC #2
2.) STUDY, STUDY, STUDY--tomorrow we start with our chapter 19/20 vocab quiz! Here's the list (and it's all multiple choice):

  • From our chapter 19 quiz (with the sub)--use the scantron/quiz that was passed back to study these
    • Confidence Interval (used to ESTIMATE A PARAMETER based on sample statistics)
    • Interpret Confidence LEVEL (if we keep taking samples this is the % of the resulting confidence intervals that will contain/correctly estimate the parameter)
      • Check out your ch. 19 quiz (from the sub)--there was a multiple choice to interpret confidence level
    • Critical Value
    • Standard Error
    • Why check for randomization?
    • Why check "success failure?" -- n(p-hat) >10, n(1-phat)>10
    • Point Estimate
  • From ch. 20:
    • Null Hypothesis
    • Alternative Hypothesis
    • PValue (remember...it's a probability of seeing our sample data IF THE NULL IS TRUE)
    • Hypothesis Test (a statistical inference tool where we make an assumption about the value of a parameter and then determine if it's greater/less/different from the assumed value
    • Alpha Level
    • Reject the Ho (when do we reject Ho based on pvalue, alpha)
    • Fail to Reject Ho (when do we fail to reject based on pvalue, alpha)
    • Standardized Test Statistic (what is it? what does it measure?)
    • Generally speaking, now how to write a conclusion for a hypothesis test....
      • pvalue < alpha/significance level means we reject Ho, there IS evidence of Ha
      • pvalue >alpha/significance level means we fail to reject Ho, there IS NOT evidence of Ha

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