HSS 2381 Lecture Notes - Lecture 2: Statistical Inference, Null Hypothesis, Descriptive Statistics
22 Sep 2016
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What are the two types of hypothesis: non directional: doesn"t say which direction it would go (ex. There is a relationship between class attendance and marks: directional: points it in a direction (coming to class is associated with higher marks) What is the importance of the null hypothesis: innocent until proven guilty, we want to reject it. The independent variable is the predictor variable and it can be manipulated. 4 types of measurement: nominal, ordinal, interval,, ratio noir. Evidence- based practice ( ebp): use of best clinical evidence in making patient care decisions. Have dif qualities with regard to measurement potential. Discrete: categories are indivisible, with a finite number of values between two points, ex. Number of hospital beds, number of siblings, 0,1,2 etccc. Continous: can (in theory) assume an infinite number of values between two points, ex. 44. 32 years), infite number of possibilities, nanoseconds etc: ratio and interval data. We need to have context when we have a dataset.
