Health Statistics Exam 1

  1. Statistics
    Involves the techniques and procedures dealing with collection, organization, analyzing, interpretation, and presentatino of data
  2. Three Components of Health Fields
    • 1. Education- basic and applied knowledge
    • 2. Clinical Practice- Deal with patient
    • 3. Research- expand knowledge
  3. Goal of Statistics in the Health Field
    • Improve Health Profession
    • Improve service
    • Improve treatment and prevention of disease and disorders
  4. Descriptive vs. Inferential Statistics
    • Descriptive- Use data to describe sample
    • Inferential- Use sample data to make conclusions about the population
  5. Causation vs. Assocation
    • Causation- When on variable directly affects another
    • Association- When two variables have a strong observed connection
  6. Lurking Variable
    A "hidden factor" that can influence other variables.
  7. Tables
    An orderly arrangement of values grouped in to rows and columns
  8. Disadvantage of use of Tables
    Since they are not very interesting, tables should be used sparingly
  9. Advantage of using Tables
    Displaying information related to several levels of a variable
  10. Row vs. Column
    • Row- across
    • Column- down
  11. Types of Tables
    • One variable
    • Two or more variable
  12. Pie Chart
    • Emphasizes each category's relation to the whole
    • Chart must be incluse
    • Useful for qualitative data
  13. Bar (Column) Charts
    • One-Variable
    • Grouped (or two or more variable)
  14. Stacked bar graph
    Grouped bar chart in which the separate groups are colored coded and graphed together
  15. Scatter diagram
    A graphic technique used to display the relationship between to continuous variables.
  16. Line graphs
    Used to display trends
  17. Ratio
    Relationship between one quanitity to another. Numbers are expressed as a fraction or separated by a colon.
  18. Proportion
    Relationship between one quanitity and the whole
  19. Percentage
    Proportion x's 100
  20. Frequency Table
    View the distribution of data as it is sorted within each class
  21. Class Interval
    Which class has the lowest frequency
  22. Array
    Arrangement- order
  23. Interval midpoint
    What is the midpoint of that class
  24. Class width
    24-26, 24, 25, 26- 3 the number of classes within a class
  25. Stem and Leaf Plot
    • Construct by writing the first digits in the first column- stem.
    • Write the second digits of all the numbers relating to each of the first digits- leaf
  26. Histogram
    Plot of the frequency distribution table
  27. Frequency Polygon
    Same as historgram, except connect midpoint of class to make continuous line
  28. Experiment Advantages
    • Researcher designs and imposes treatments
    • Best way to demonstrate causation
    • Researcher has control over subjects
  29. Experiment Disadvantages
    • Ethics
    • Expense
  30. Survey advantages
    • Factors being studied already exist
    • Quickest and cheapest way to collect data
    • More acceptable to conduct on humans
  31. Survey disadvantages
    Less able to account for lurking variables
  32. Subject
    People bein gstudied, people we get data from. Represent population.
  33. Treatment
    Conditions we impose
  34. Control
    Status quo, normal or no treatment.
  35. Placebo treatment
    Subject is unaware they are not being treated
  36. Sham procedure
    Mimick a procedure
  37. Single-blind study
    Subject doesn't know what group they are in
  38. Double-blind study
    Neither the subject nor the researcher know treatment assignments
  39. Clinical Trial
    Experiment conducted on humans.
  40. Why do a literature review?
    • Interest in Topic
    • Design project
    • Background/rationale project introduction
    • Compare your project results
Card Set
Health Statistics Exam 1
Health Statistics Exam 1