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Tuesday, April 2, 2019

Tuesday = STUDY! (And do some extra credit?)

Tomorrow we will start class with a chapter 23 quiz. It will be around 15-20 minutes to start class. So tonight, study!

Here's what you should know (really just everything about t-tests and intervals):
  • How to conduct a full t-test or t-interval
    • Test: Hypotheses, Conditions, Math, Conclusion
    • Interval: Conditions, Math, Interpret Interval
  • Be sure you know how to show the t-interval formula, including being able to find t* from the t-table based on degrees of freedom (df = n -1) 
    • Know how to calculate margin of error given sample data (including finding t* from the t-table)
  • Know when we would use a z-test for means v. a t-test for means 
    • Z Test for Means: if we know the population standard deviation (sigma)
    • T Test for Means: if we do not now the population standard deviation (we only know the sample standard deviation, Sx)
  • Know the characteristics of the t-distribution
    • Shape
    • How does df (and thus, sample size) affect the shape of a t-distribution?
    • Which has more variance/variability--Normal model or t?
  • Find sample size for a given margin of error
    • Remember to use z* with these types of problems--we can't find t* without n, and the point of this question is to find n
    • Like 2008B part a (Thurs. HW) OR like the "download times" slide in our notes
  • Know how to find margin of error and a point estimate (sample statistic) given only a confidence interval
Want to study and get some extra credit? Check out (and do) these problems in the textbook:

Pages 542-546: 9b, 11, 13acd, 21bc, 31 (full test) 

Today's Class Recap:
  • Stamp = Probability Review!
  • HW Q's? 
  • April Break: TAKE HOME TEST = AP EXAM PREP!
    • Passed out test (MC and FR)
    • Sign up sheet for April break review session went around
    • Discussed importance of AP exam prep
  • New stuff = ch. 25
    • What does "statistically significant" mean?
    • What is "paired data?"
      • What are some examples of when/where we would pair data?
    • How is a paired t test/interval different from a 2 sample t-test/interval?
  • Tomorrow we'll start to do the math and actually conduct a paired t-test and create a paired t-interval

Friday = Ch. 23 and 25 Vocab Quiz! Start studying!
  • Statistically Significant
  • Paired Data/Matched Pairs
  • Mean Difference v. Difference in Means
  • T Distribution
    • Shape
    • How does df affect shape
  • Degrees of Freedom (how are they calculated)?
  • All vocabulary terms from our test last week are free game--study those definitions!
    • Confidence Interval
    • Hypothesis Test
    • Critical Value
    • Standard Error
    • Margin of Error
    • Point Estimate
    • Ho
    • Ha
    • Confidence Level
    • (Standardized) Test Statistic
    • P Value
    • Alpha Level
    • Beta
    • Type 1 Error
    • Type 2 Error
    • Power
    • Sampling Variability
    • One v. Two Tailed Test
    • Reject Null = there IS evidence of Ha
    • Fail to Reject = there IS NOT evidence of Ha

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