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26 Cards in this Set

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 Theory and methodology for study design and for describing, analyzing, and interpreting data. Statistics Each member of the population has an equal chance of being chosen Simple random sample Population is divided into non-overlapping groups (called strata). Sample is then choses from these groups Stratified random sample Random sampling with a system. Starting point chosen at random and then samples are chosen at regular intervals after. Systematic sample Units to be sampled are chosen in clusters close to each other. Within clusters, units are chosen by simple random sampling Cluster sample Subjects are convenient (next 20 patients in your clinic) Convenience sample Data that is categorical and discrete Qualitative data Data that is numeric and continuous Quantitative data Median Midpoint Mode Value that occurs most frequently -Unimodal and multimodal Measure of the variability in scoring Standard deviation The square of the standard deviation Variance Middle of the box plot Median Box contains what percentage? 25th percentile to 75th percentile Whiskers of box plot depict? The highest and lowest scores. Z-score The standard deviation above or below the mean Parameter The value calculated in a population What can standard normal deviation do? 1. With a mean of zero and standard deviation of one 2. Allows standard scores to be calculated (z-scores) 3. Converting scores to percentile ranks Sample size 1. Greater the sample size, more likely the distribution will look like the true distribution in a population 2. With increased sample size, the spread (variation around the mean) decreases A single number, like the mean Point estimate A range of numbers that describe uncertainty due to play of chance Interval estimate A range of values that has a specified probability of containing the parameter being estimated Confidence interval Measure of correlation, Pearson's r r = -1 r = +1 r = 0 Type I error False Positive, when you reject the null hypothesis when it is true Type II error False negative, when you accept Ho when Ho is false Power 1-Beta