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### 12 Cards in this Set

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• 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 ANOVA - 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