Chapter 19 M303 Final Exam

  1. Data Analysis:
    Two Key Considerations
    • ·        
    • Is the variable to be analyzed by itself
    • or in relationship with other variables?

    • ·        
    • What level of measurement was used?
  2. ÊFrequency Analysis
    • ÊA count of the number of cases that
    • fall into each of the response categories
  3. Interval estimates are a projection of the
    range within which a population parameter will lie at a given level of
    confidence based on a statistic obtained from a probabilistic sample

    ÊThis probability is normally referred
    to as the confidence level

    ÊDrawing a probability sample allows for
    the appropriate calculation of confidence intervals
    Confidence Intervals for Proportions
  4. A statement
    about the value of a population
    parameter developed for the
    purpose of testing
  5. allows us to
    calculate the probability of a particular result if the stated
    hypothesis is actually accepted
    statistical hypothesis test
  6. ÊThe hypothesis that a
    proposed result is not true for the population

    ÊResearchers typically attempt to reject
    the null hypothesis in favor of some alternative hypothesis
    • Null
    • Hypothesis (H0)
  7. ÊThe hypothesis that a
    proposed result is true for the population

    ÊOften, we are interested in the
    alternative hypothesis
    • Alternative
    • Hypothesis (HA)
Card Set
Chapter 19 M303 Final Exam
chapter 19 final exam