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MCQ 1 (week 1-4)

Aamna Khan UNIVERSITY Inglés 10 fichas

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  1. 1two differences in results1. error variability - chance results, noise
    2. meaningful results
  2. 2dealing with error variabilitytry to eliminate it
    can NEVER get rid of all error variability
    try to report it
    try to accounts for it
  3. 3measuring variability1. data points are not all the same
    2. they fall in a range/distribution
    normal distribution (symmetrical bell curve)
    not a normal distribution (skewed, data points are spread out)
  4. 4parametricscores must be normally distributed, continuous and most common
    the centre of the range is called the mean
  5. 5two types of variables1. categorical - groups, categories, nominal labels, ordinal labels
    2. continuous - numerical measures, scores, no set result
  6. 6test statistictest statistic = observed variability/
    error variability
  7. 7z scorethe z score is the number of standard deviations from the mean a data point is
    z score = score - mean/
    standard deviation
  8. 8z scorewithin distribution - the z score is close to 0 positive or negative
    outside distribution - z score is far from 0 positive or negative
    if z score is between -1.96 and 1.96 it is significant
    if z score is below -1.96 or above 1.96 it is insignificant
  9. 9observed variabilityobserved variability = sample mean -
    population mean
  10. 10standard errormeasures how far the sample mean of the data is likely to be from the true population mean
    standard error = standard deviation/
    √N

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(USING DATA) UNIVERSITY Fichas sobre MCQ 1 (week 1-4), creado por Aamna Khan el 20/02/2019.
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