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Flashcards

Stats 1.1-1.4

Ca'savier Davis English 22 cards

Cards in this deck (22)

  1. 1PopulationAll of something, EX): Nursing students at TWU
  2. 2SampleSome of the all ( comes from population
    )
  3. 3StatisticAny measurement coming from a sample EX): Average
    age from 500(sample size) TWU undergrads(sample) at
    random is 20.3(statistic)
  4. 4ParameterMeasurement from a population EX): Avg. age of 21.1
  5. 5Sample size symbolN
  6. 6Sample mean symbolX bar
  7. 7ProportionPart of a whole
  8. 8QuantitativeData that is in numbers EX): Height, weight
  9. 9QualitativeData in the form of words EX): Gender, hometown, zip
    code
  10. 10Discrete dataCountable data EX): 1,2,3,4,5....( counted 15 M&M's)
  11. 11Continuous dataAll values, including decimals EX): 1.1,1.2,1.3,1.4...
    (weight is 156.7)
  12. 12Simple randomRandom sampling
  13. 13Systematic samplea sample drawn by selecting individuals systematically
    from a sampling frame EX): Every 3rd person
  14. 14Stratified samplea sample drawn in such a way that known subgroups
    within a population are represented in proportion to their
    numbers in the general population, EX): 50 from each
    group of freshman, sophomores, etc.
  15. 15cluster sampleIs obtained by selecting some individuals within a randomly selected collection or group of individuals. EX): Random
    from juniors and seniors
  16. 16Convenience sampleSamples in the easiest way to collect data
  17. 17BiasThe results of the sample aren't representative of the
    population
  18. 18Sampling biasTechnique used to obtain individuals to be in the sample
    tend to favor one part of the population over the other. EX):
    Convenience sampling or Undercoverage( the proportion
    of one segment of the population is lower in the sample
    than it is in the population
  19. 19nonresponse biasIndividuals selected to be in the sample who don't respond
    to a survey have different opinions from those who do
  20. 20Response biasAnswers on survey do not reflect the true feelings of
    the respondent. EX): Misrepresented responses, loaded
    questions, interviewer error, data-entry error
  21. 21non-sampling errorErrors that result from undercoverage, nonresponse bias,
    response bias, or data-entry error.
  22. 22Sampling errorerrors that result from using a sample to estimate information about a population. This type of error occurs because
    a sample gives incomplete information about a population.

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Flashcards on Stats 1.1-1.4, created by Ca'savier Davis on 07/09/2022.
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Ca'savier Davis
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