1. Population
    • collection of persons, items, or interests
    • "all automobiles"
  2. Census
    Where researches gather data from whole populatin for a given measurement of interest
  3. Sample
    portion of the whole and if properly take, is rep of the whole
  4. Descriptive Stats
    business analyst is usin data gathered on a group to describe or reach conclusions about that same group.
  5. Inferential Stats
    researhers gather data from a sample and uses the stats generated to reach conclusion about the population from which the sample was taken
  6. parameter
    descriptive measure of the population.Greek letters
  7. Nominal level
    • lowest level of measurement
    • representing nominal level data used to classify or categorize
  8. Ordinal Level
    measure is higher than nominal. RANK
  9. Interval Level
    measure next to the higest level of data in which the distancecs between consecutive numbers have meaning and the data are always numerical.
  10. Ratio Level
    • highest level.
    • height, weight, time, volume
  11. Parametric stats
    require data to be interval or ration.
  12. Nonparametric stats
    analyze interval or ratio data.
  13. Ungrouped Data
    Raw data, or date that have not been summarized in any way
  14. Grouped Data
    data been organized into a frequency distribution.
  15. Frequency Distribution
    summary of data presented in the form of class intervals and frequencies.
  16. Range
    difference between the largest and smallest number
  17. Class Midpoint
    • midpont of each class interval
    • halfway acoss the class interval and be calculated as the average of the class endpoints.
  18. Relative Frequency
    • proportion of the total frequency that isw any given class interval in a frequency distribution.
    • Individul class frequency divided by the total frequency.
  19. Cumulative frequency
    a running total of grequencies through the classes of a frequency distribution.
  20. Histogram
    is a series of contiguous bars or rectangles that rep the frequency of data given class intervals.
  21. Frequency Polygon
    ploted as a dot at the class idpoint and the dots are connected by a series of line segments.
  22. Ogive
    cumulative frequency polygon
  23. Dot Plot
    display continuous , quatative data/
  24. Steam and Leaf Plot
    seperating the digits are the stem and consist of the higher value digits
  25. Pie Chart
    a circular depiction of data where the area of the whole pie represents 100% of the data and slices of the pie represent and a percentage breakdown of the sublevels.
  26. Bargraph Bar chart
  27. Pareto Chart
    use this tally to produce a vertical bar chart that displays the most common tyesps of defects, ranked in order of occurence from left to right.
  28. scatter plot
    two dimesional graph plot of pairs of points from numerical variables
  29. measure of central tendency
    yield info about the center, middle part or group of numbers
  30. mode
    the most frequently occuring value in a set
  31. bimodal
    the case of a tie for most frequently, occurring number.
  32. multimodal
    Data sets with more than two modes
  33. arthimetic mean
    the average of a groupe of numbersand is computed by summing all numbers and dividing the number of numbers.
  34. measure of varaiablity
    describe the spread of the dispersion of a set data.Using measures of varability in conjunction with measures of central tendency makes possible a more complete numerical description of the data
  35. interquartile range
    • range of values between the first and third quartile.
    • q3-q1`
  36. deviation from the mean
    subtracting the mean from each value of data yields
  37. mean absolute deviation
    average of the absolute values of the deviations around the mean for a set numbers
  38. Variance
    average of the squared deviations about the arthmetic mean for a set of numbers.
  39. sum of squares of x
    sum of the squared deviations about the mean of a set of values
  40. standard deviation
    square root of variance
  41. Two ways of applying standard deviation
    Chebyshevs theorem
  42. mean
    is computed by summing the data values and dividing the number of values
  43. Skewness
    distribution is asymmetrical or lacks symmetry
  44. Kurtosis
    describe the amount of peakedness of a distribution.
  45. Lepokurtic
    distributions that are thin and high
  46. Platykurtic
    distributions that are flat and spread out
  47. Mesokurtic
  48. box and whisker
    diagram that utilizes the upper and lower quartiles along with the median and the two most extreme values to depict a distribution graphically.
  49. A Priori
    determined prior to the experiment
  50. classical method of assigning probablities
    a process that produces outcomes, and an event, which is an outcomes of an experiment.
  51. relative frequency of occurence method
    the probablity of an event occuring is equal to the number of times the ven has occurred in the past divided by the total number of opportunites for the event have occurred
  52. subjective methold
    assigning probality based onm the feelings inisghts determing the probablity
  53. experiment
    a process that produces outcomes
  54. event
    outcome of an experiment
  55. elementary events
    events that cannot be decomposed or broken down
  56. intersection
    contains the elements common to both sets
  57. independent events
    occurrence or nonoccurrence of one of the events does not affect the occurrence or nonoccurrence of the other event
  58. complement
    elementary events of an experiment not in A comprise its complement
  59. mn couting rule
  60. probablity
    four types
    marginal, union, joint, and conditional
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