Statistics vocab chapter 1

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  1. Parameter
    a numerical measurement describing some characteristic of a population
  2. Statistic
    a numerical measurement describing some characteristic of a sample
  3. Quantitative (or numerical) data
    consists of numbers representing counts or measurements.

    Example: The weights of supermodels

    Example: The ages of respondents
  4. Categorical (or qualitative or attribute) data
    consists of names or labels (representing categories).

    Example: The gender (male/female) of professional athletes

    Example: Shirt nmbers on professional athletes uniforms-substitutes for names.
  5. Discrete data
    result when the number of possible values is either a finite number or a 'countable' number (i.e. the number of possible values is 0,1,2,3,...)

    Example: The number of eggs that a hen lays
  6. continuous (numerical) data
    result from infinitely many possible values that correspond to some continuous scale that coers a range of values without gaps, interruptions, or jumps. 

    Example: The amount of milk that a cow produces; e.g. 2.343115 gallons per day.
  7. Nominal level
    characterized by data that consist of names, labels, or categories only, and the data cannot be arranged in an ordering scheme (such as low to high).

    Example: Survey responses yes, no, undecided.
  8. Ordinal level
    involves data that can be arranged in some order, but differences between data values either cannot be determined or are meaningless.

    Example: Course grades A,B,C,D, or F
  9. Interval level
    involves data that can be arranged in order and the difference between any two data values is meaningful,. However, there is no natural zero starting point (where none of the quantity is present)

    Example: Years 1000, 2000, 1776, and 1492

Card Set Information

Statistics vocab chapter 1
2014-09-03 00:11:05
Statistics vocab

Statistics vocab
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