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12 Cards in this Set

  • Front
  • Back
Interval Data
- "continuous data"
- known interval between each successive value
- continuous and integer
- continuous-height, weight, lab values
- integer - # of bacterial colonies on a plate
Nominal data
- occurs in categories without order
- aka categorical
- separate categories or options
- Ex= positive/negative, male/female
Ordinal data
- inherent ordering w/o standard intervals between measurements
- Ex= pain scales, heart murmurs (I, II, III, IV)
Mean, median, mode
(if you don't know these ...)
mean= average, sum of all values divided by the number of measurments
median= number of observations above equals the number below (the "middle" data point)
mode= the most frequent occuring value
Range, standard deviation, percentile
range= lowest to highest values
standard deviation= absolute value of the average differences of individual values from the mean
percentile= the proportion of all observations falling between specified values
Using mean and median
- with outliers, mean may not be a good measure, use median
- if normal distribution, these are the same
P (probability values)
- p values measures how likely a particular difference between groups is to be due to chance
- NOT associated with any statistical test
- .05 or smaller to be significant
T Test and Chi square
- Use T Test when= measurements are interval and two groups being compared
- Use Chi square when measurements are nominal (categorical)
T Test
- most commonly used stat test in literature
- data must be approximately normally distributed and only two groups can be compared
- interval data and 3 or more groups to be compared
Confidence Intervals
- convey both variability and statistical significance
Confidence intervals vs. P values
- both convey statistical significance
- CI gives more info than p values alone because reader cna view a range of "true" values
- CI give a perspective concerning sample size and power