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12 Cards in this Set
- Front
- Back
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Interval Data
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- "continuous data"
- known interval between each successive value - continuous and integer - continuous-height, weight, lab values - integer - # of bacterial colonies on a plate |
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Nominal data
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- occurs in categories without order
- aka categorical - separate categories or options - Ex= positive/negative, male/female |
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Ordinal data
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- inherent ordering w/o standard intervals between measurements
- Ex= pain scales, heart murmurs (I, II, III, IV) |
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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 |
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Range, standard deviation, percentile
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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 |
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Using mean and median
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- with outliers, mean may not be a good measure, use median
- if normal distribution, these are the same |
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P (probability values)
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- 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 |
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T Test and Chi square
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- Use T Test when= measurements are interval and two groups being compared
- Use Chi square when measurements are nominal (categorical) |
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T Test
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- most commonly used stat test in literature
- data must be approximately normally distributed and only two groups can be compared |
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ANOVA
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- interval data and 3 or more groups to be compared
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Confidence Intervals
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- convey both variability and statistical significance
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Confidence intervals vs. P values
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- 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 |
