Experimental Psychology Week 4 notes
Experimental Psychology Week 4 notes PSYC 266 - 04
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This 2 page Class Notes was uploaded by Elizabeth Schnarr on Friday September 16, 2016. The Class Notes belongs to PSYC 266 - 04 at Truman State University taught by Ashley Ramsey in Fall 2016. Since its upload, it has received 5 views. For similar materials see Experimental Psychology in Psychology at Truman State University.
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Date Created: 09/16/16
Week 4: 9/129/18 Experimental Psychology Controlling Extraneous Variables Context Variables ● Context variables are extraneous variables produced by experimental procedures created by the research setting environment, like assignment of participants to conditions ● Selecting your friends and having differing titles might bias your sample, threatening external validity Experimental Psychology Central Tendency and Variability Central Tendency ● Population is a set of people, animals, or objects that share at least one characteristic in common ● Sample is a subset of the population that we use to draw inferences about the population ● Statistical inference is the process by which we make statements about a parent population based on a sample ● A continuous scale allows for fractional amounts and so decimals make sense ● In a discrete scale, only wholenumber amounts can be measured ● A dichotomous variable has only two possible categories or scores ● Measure of central tendency is a score that summarizes the location of a distribution on a variable ● The most frequently occurring score is called the mode ● When there’s one mode, it’s called unimodal, but when there’s two it’s called bimodal ● The median is the score at the 50th percentile ● The mean (average) is the score located at the mathematical center of a distribution ● Range is the difference between the two most extreme scores in a distribution Week 4: 9/129/18 New Statistical Notation ● The symbol ΣX is pronounced “sum of X ” ● A score’s deviation is the distance separating the score from the mean ● The sample variance is the average of the squared deviations of scores around the sample mean ● The sample standard deviation is the square root of the sample variance ● The population variance is the true or actual variance of the population of scores Formulas:
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