PSYB01H3 Lecture Notes - Level Of Measurement, Central Tendency, Frequency Distribution
Document Summary
Chapter 12 - understanding research results: description and correlation: stats are used for describing data and making inferences on sample data. Scales of measurement: a review: levels of a variable can be decribed by 4 scales, nominal: no numerical, quantitative properties, ordinal: rank order o. Interval: quantitative properties, no absolute 0: ratio: quantitative properties, has an absolute 0. Analyzing the results if research investigation: depending on the way the variables are studied there are 3 basic ways of describing the results, comparing group percentages, correlating scores of individuals on two variables, comparing group means. Comparing group percentages: example: studying if which females or males like traveling more, lets say out of 50 females and 50 males. 60% of males like to travel: need to focus on % because of variable of liking travel or disliking travel is nominal. These 2 numbers summarize the information contained in a frequency distribution.
