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### 21 Cards in this Set

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 what is nominal data: Categorical (Men-Women), (Family Practice, Internal Medicine, Pediatrics), (A,B,AB,O) -data that you can count but not order or measure what is ordinal data: implied order between categories: (Stable Serious Critical) (Stage I II III cancer) (very satisfied to very dissatisfied) what is interval data: infinite values, can subtract values: (Continuous) (Discrete) height, weight, blood pressure match the type of average with the correct type of data: ... data – Mean ... data – Median ... data - Frequency Interval Ordinal Nominal Ho represents the ... hypothesis null what does this describe: Chance – Really no difference between the groups The NULL Hypothesis what does the following describe: Something is Going on here (The Pill Works) The Alternative Hypothesis H1 represents the ... Hypothesis Alternative what does the following describe: Mathematically equivalent to 0 or 1 depending on the level of measurement NULL statement what are the 2 different types of decision methods we discussed in class: decision point method confidence interval This decision point will be measured by the ... This translates into the probability of what we see is due to chance alone p-value If the p-value is large, it favors ... If the p-value is small, it favors ... Ho H1 for most published articles p < ... for drug trials p < ... or p <... .05 .01 .001 The probability of rejecting the null hypothesis when you should not is what type of error type I what is the marker for the null hypothesis when the results are in a ratio form (relative risk or odds ratio) ... 1 represents Ho the P-value that researchers decide to accept before they will be confident enough to release a finding. This is their predetermined acceptance level. The alpha level is not calculated, it is chosen by the researcher(s) the alpha level what is the marker for the null hypothesis when the results are in an interval form ... 0 represents Ho If the probability of the results of the statistical test are greater than α, (p > .05) then the results (are/are not) statistically significant. we must (accept/reject) the null hypothesis are not accept If the probability or the results of the statistical test are less than α (p < .05) then the results (are/are not) statistically significant. we must (accept/reject) the null hypothesis are reject p > α Then p is large Accept/Reject Ho accept p < α Then p is small Accept/Reject Ho reject