EPPS 6313.001 - Week 1 & 2

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EPPS 6313.001 - Week 1 & 2
2014-09-10 15:48:23
Stats UTD

Stats week 1 terms
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    Characteristic of an item or individual
  2. DATA
    Individual values associated with variable.
  3. Type of Variable

    Categorical (qualitative)
    Variables have values that can only be put into categories, such as “yes” and “no.”
  4. Types of Variables

    Numerical (quantitative)
    Variables have values that represent a counted or measured quantity.
  5. Discrete Variables
    Result from a counting process.
  6. Continuous Variables
    Result from measuring process
  7. Levels of Measurment

    Nominal Scale
    Classifies data into distinct categories in which no ranking is implied.
  8. Levels of Measurement

    Ordinal scale
    Classifies data into distinct categories in which ranking is indeed implied
  9. Interval scale
    is an ordered scale in which difference between measurements is a meaningful quantity... but the measurements do not have a true zero point.
  10. Ratio scale
    is an ordered scale in which the difference between the measurements is a meaningful quantity and the measurements do have a true zero point.
  11. Population
    consists of all items or individuals about which we want to draw a conclusion… population is the “big group”
  12. Sample
    is the portion of a population selected for analysis…. sample is the “small group”
  13. Nonprobability Sample
    Items included are chosen without regard to their probability of occurrence.
  14. Convenience Sampling
    items are selected based only on the fact that they are easy, inexpensive or convenient to sample.
  15. Judgment Sample
    get opinions of pre-selected experts in the subject matter
  16. Probability Sample
    items in sample are chosen on the basis of known probabilities.
  17. Simple Random Sample
    every individual or item from the frame has an equal chance of being selected