PSYC 204 Lecture Notes - Lecture 1: Equiprobability
Document Summary
Applications = political polls / weather / drug trials. Statistics = tools: descriptive statistics , inferential statistics = decision making in uncertain. Cases based on samples - inference from sample. All instances on some quantitative dimension ex: all students from mcgill students. Subset of all instances on some quantitative dimension ex: group of mcgill students. 2 areas of statistics after collection of data. No inference describe data & classify with mean/graph/table. Draw inference/conclusions about populations based on information from samples. A- differences vs similarities: variables (x, y) assume range of values [1-5, constant c=5. Discrete = groups values separated by other values that cannot exist. Ex: number of students= 1,2,3 not 1. 5 student. Continuous = no groups all values are possible. Ex: letter grades/a > b > c/ a - b b - c. *but cannot measure difference between low & high. Temp in f / c = can be above or below +/- 0: ratio.
