IB Descriptive Statistics Terms

  1. What is Univariate Analysis?
    • Statistics involving a single variable.
    • (for example: chapter 6 test scores)
  2. What is Bivariate Analysis?
    • Statistics involving the comparison of two variables.
    • (for example: the chapter 6 and the chapter 4 test scores)
  3. What is data?
    The information that you collect.
  4. What is the difference between qualitative and quantitative data?
    Quantitative data can be counted or measured (used to answer questions such as "how many" or "how long")

    Qualitative data involves words more than numbers (unless it is in answer to a question like "what is your favorite number?"
  5. A quantitative _____ variable has exact numerical values.
  6. A quantitative ____ variable can be measured and its accuracy is dependent upon the accuracy of the measuring device used.
  7. _____ includes all members of a defined group that is being studied for data driven decisions.
  8. ____ is a subset of the population.
  9. What two characteristics must all RANDOM samples have?
    • 1. equal opportunity of selection
    • 2. essentially the same characteristics of the population.
  10. A bar chart is most suitable for ____ data.
  11. A ____ is used for continuous data.
  12. Mean
    • 1. the average of the data
    • 2. the most common central tendency
    • 3. sum of data values divided by the number of data values.
  13. The number that occurs MOST often is called the ____.
  14. If there are two modes, the set of data is said to be ____.
  15. The number in the middle of all the data when it is arranged in numerical order is called ____.
  16. What are the three most common measures of central tendency?
    Mean, Median, and Mode
  17. What do the measures of central tendency explore?
    the middle data set
  18. What do the measures of dispersion explore?
    the spread of the data around a central value.
  19. The difference between the maximum value and the minimum value is called the ____.
  20. The median separates the data into how many equal parts?
  21. ____ separate the data into four equal parts.  Each part containing 25% of the data.
  22. The first quartile shows 25% of the data is below it and ____% is above it.
  23. The first quartile is found by....
    finding the median of the first half of the data.
  24. The second quartile is the mark that shows 50% of the data is on either side.  This is a synonym for ____.
  25. The third quartile marks the last quarter of the data.  It is sometimes called the _____ percentile.
  26. To find the third quartile...
    find the median of the second half of the data.
  27. What five data points make up the "five statistical summary"?
    • 1. minimum value
    • 2. 1st quartile
    • 3. Median
    • 4. 3rd quartile
    • 5. maximum value
    • (These are the five points that create the Box N Whisker plot)
  28. What is the interquartile range (IQR)?
    The difference between quartile three and quartile 1.  (also represents 50% of the data)
  29. Outliers...
    are at least 1.5 times the IQR above the Q3 or below the Q1

    (extreme or distant data values)
  30. What is "ogive"
    • a cumulative frequency diagram.
    • Useful for calculating median, quartiles, and percentages of a large set of grouped or continuous data.
Card Set
IB Descriptive Statistics Terms
Vocabulary from the IB Math SL Descriptive Statistics Chapter