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OTHY104 Exam Prep- 2

Julia L OTHY104 First year English 14 cards

Cards in this deck (14)

  1. 1What are the different scales of data?- Nominal (categorical)
    - Ordinal
    - Interval
    - Ratio
  2. 2What is Nominal (Categorical) data? Provide an example.- Used to provide a system of classification.
    - Does so without quantifying or ordering differences in data
    - Numbers given have no meaning
    E.g. Names/categories: Boy/girl ; Yes/no, when medical records are entered into a data base
  3. 3What is Ordinal data? Provide an example.Data contains information that has relative magnitude or rank order. similar to nominal scales, ordinal scales do not have properties of equal distance between units or a fixed origin.
    E.g. levels of satisfaction, levels of pain
  4. 4What is Interval data? Provide an example.An interval scale rank order and distance between the numbers which have meaning with respect to the property being measured.
    - The measurement of degrees are used to measure temperature and can be added or subtracted to examine increase or decrease in temperature. A value of zero does not indicate an absence of the quality
  5. 5What is ratio data? Provide an example.increasing amount with equal intervals and an absolute (true) zero. A value of zero does indicate an absence of the quality e.g. range of movement, height, weight.
    Time measured in seconds,minutes,hours,days,months, year
  6. 6what is normal distribution?- A theoretical frequency distribution
    - For a set of variable data
    - used to represent a normal or statistically probably outcome.
    - Used with continuous variables/ not appropriate to report change over time.
  7. 7What does a normal distribution look like?- Usually represented by a bell shaped curve symmetrical about mean.
    - The mean, median and mode all coinciding at its peak and with frequencies gradually decreasing at both ends.
  8. 8What is measurement error?- Variation/ uncertainty in measurement
    - is a mathematical way to show uncertainty in the measurement.
    - "Error" not the same as "mistake"
  9. 9Error is present due to...?- client attribute
    - Evaluation/instrument
    - Therapist/rater
    - Environment
  10. 10what is correlation? and what is a positive correlation?A relationship/connection between 2 or more values.
    - positive correlation= one value increases at the other value also increases
  11. 11What is the 95% confidence interval?IS the range of values in which we are 95% sure that the true population mean lyes.
  12. 12what is a P-value?- Calculated to inform about the significance
    - How likely the result is due to chance (chance=50% Likely= 0.5)
    - (Will often see p<0.001 or 0.05)
  13. 13The smaller the p-value, the stronger the evidence suggests that the result...Is NOT due to chance
  14. 14What so each of these signs mean? M MD s2 SD/sd/s ES rM= mean
    MD= Median
    s2= Varience (Squared average amount)
    SD/sd/s = Standard deviation (average amount of variability)
    ES = Effect size ( measure of change indi of samaple size.
    r = Correlation coefficient (strength or relation)

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Description
Scales of data, terms and symbols.
Created by
Julia L · Nov 2018
Updated
Nov 13, 2018
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