HSS 2381 Lecture Notes - Lecture 1: Qualitative Property, Standard Deviation, Central Tendency
Document Summary
Labs: dms 2150: wednesdays 10:00am-10:50am, print and hand in labs during class on following tuesday. Populations & samples: 40,000 is the population; the sample is the 250. Parameters & statistics: parameter is to population as statistics is to the sample. Branches of statistics: descriptive: ex, mean, mode etc. Inferential: infer something about a bigger population based on a number; draw conclusions. The role of statistics in experimentation: descriptive: shows the numbers, there is always a possibility of sampling errors; that effect the data. Inferential: draw conclusions based on the numbers found in descriptive: not giving equal chance to the 2 different groups, the sample of the population should ultimately reflect the larger population. Types of data: quantitative data = numbers etc. ; qualitative data = other things that you can do; non-numerical. Levels of measurement: nominal & ordinal represent qualitative data. Interval & ratio represent quantitative data: noir: lowest to highest levels of measurement.
