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Wednesday, April 29, 2015

Test Tomorrow, Multiple Choice Tonight!

Tonight, please complete the multiple choice questions that we started in class (both papers)! These will be collected and graded as a take home quiz--get an A!

Tonight's multiple choice is all related to various t-tests, so it's a little bit of "forced studying" for tomorrow's exam!

If you're looking for some (free response) practice problems, check out these examples in the Part VI Review of your textbook (the answers are in the back of the book):

Page 597-602 : 1, 9, 13, 23, 27bc, 29, 33

Be ready for the test! Here's a breakdown of what's on it...all t-stuff!
  • Make sure you know how to do (the entire process) each of the types of t-test and t-interval!
    • One Sample T-Tests and Intervals (conditions, math, conclusion, hypotheses (for tests))
    • 2 Sample T-Tests and Intervals (conditions, math, conclusion, hypotheses)
    • Paired T-Tests and Intervals (conditions, math, conclusion, hypotheses)
  • In addition, don't forget the "details"--some of the additional stuff we need to know about tests and intervals...
    • Define Type I and Type II error and a consequence of each
    • Find sample size given margin of error
    • What is the meaning of ___% confidence?
      • "If we take repeated samples of n things (context), ___% of the resulting intervals will contain the true mean (context) / difference in mean (context).
    • Interpret p-value
      • Remember, p-value is the probability we see our observed statistic/difference (or a more extreme one) given the null is true
      • For (1 Sample) T-Tests
        • "There is a p-value chance we would see a sample mean of ____ or higher/lower if the population mean (mu) is ____."
        • "There is a p-value chance we would see a sample mean of _____ or higher/lower due to (natural) sampling variability."
      • For 2 Samples T-Tests/Paired T-Tests
        • "There is a p-value chance we would see an observed difference of ___ or larger if there is really no difference in means (null is true)."
        • OR "There is a p-value chance that we would see this observed difference due to (natural) sampling variability."

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