• 1. 
    Margin of error equals:

  • Critical Value ∗ standard Error
  • z*
  • 1.96
  • Standard Error
  • 2. 
    To test a claim about a mean, when the population standard deviation is unknown we use:

  • z procedures
  • Pythagorean Theorem
  • t procedures
  • np > 10 and n(1-p) > 10
  • 3. 
    What do we use to estimate unknown parameters?

  • Hypothesis Test
  • Confidence Interval
  • Trig Identity
  • Guess and check
  • 4. 
    When creating a confidence interval for the difference of 2 proportions, we pool the samples when finding standard error

  • True
  • False
  • 5. 
    The null hypothesis always contains a(an):

  • < or >
  • =
  • >
  • = or >
  • 6. 
    What is the Power of a test?

  • A strong force
  • The probability that we correctly reject a false null.
  • The probability that we correctly accept a true null.
  • How tough it is.
  • 7. 
    The null hypothesis is represented by:

  • Ha
  • Ho
  • t*
  • HP
  • μ
  • 8. 
    What does it mean when a test is statistically significant?

  • it has reached alpha level status
  • the test statistic had a P-value higher than the alpha level
  • the test statistic had a P-value lower than the alpha level
  • it is important in practical terms
  • 9. 
    How can you reduce both Type I and Type II errors?

  • it can't be reduced
  • redo the tests
  • increase the sample size
  • tamper with the data
  • 10. 
    When p-value is greater than alpha we:

  • Accept Ho
  • Accept Ha
  • Fail to reject Ho
  • Reject Ho
  • 11. 
    When conducting a significance test for the difference in proportions, why do we pool the data when finding standard error?

  • Because we like to swim
  • Because we assume p1 = p2 in Ho
  • Because the sample sizes are always equal
  • To be safe and make sure we don't underestimate the standard error
  • Because we don't the standard deviation.
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