HSS 2381 Lecture Notes - Lecture 2: Null Hypothesis, Descriptive Statistics, List Of Statistical Packages
26 Sep 2016
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Independent or dependent, anything can be a variable, a measurable entity. Nominal: absence of a relationship between the numbers. Ordinal: hierarchy, classification, distance between them cannot be measured, no measurable difference between the numbers. Ratio: has a meaningful zero, difference between the numbers. Make the best clinical care decisions for patients based on the best information. Evidence-based practice (ebp): use of best clinical evidence in making patient care decisions. Takes years for research to get embedded in to practice (around 17) Variables have different qualities with regard to measurement potential. Discrete variable: categories are indivisible, with a finite number of values between 2 points. Examples: number of siblings, number or hospital beds, etc. Continuous: can in theory assume an infinite number of values between two points. 55 40 22 9 100 40 40 54 67 88 numbers by themselves have no meaning and need context. Communicate the research variables and the population (the entire group of interest)
