BIOL 244 Lecture Notes - Lecture 3: Inverse Relation, Normal Distribution, Type I And Type Ii Errors
Document Summary
Variable: measurable traits of interest that may vary from one object to another, four different types of variables, quantitative, qualitative, continuous, discrete. Qualitative: vary in quality/kind: no magnitude, cannot be ranked, examples: gender, color, marriage status. Quantitative: numerically measured: magnitude or quantity to the values, data can be ranked, difference between two values can be calculated, examples: age, height, speed. Discrete versus continuous: continuous: measurements along a continuum, example: 1 cm, 1. 1 cm, 1. 11 cm, 1. 111 cm, 1. 1111 cm, discrete: only measured in whole numbers, categories, or codes, examples: number of students, number of pages. Data: data are observations/measurements that were made during an experiment, four different types of data. You cannot perform arithmetical (+,-,x) or logical () operations. Examples: presence/absence, type of car you drive, movie genre. Arithmetic operations are not possible, but logical operations are. Example: class grades, relative locations (near, far), relative size (small, medium, large) Ordered with constant distance between two interval points.
