L33 Psych 300 Chapter Notes - Chapter 1: Pie Chart, Stroop Effect, Intelligence Quotient

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Chapter 01: introduction to statistics and research design. Statistics: probability, correlation, finding trends, interpreting raw data, research design. Descriptive statistics - organize, summarize and communicate a group of numerical observations and describe large amounts of data in a number or figure. Ex: mean (average), bar graph, pie chart. Inferential statistics - use sample data to make general estimates about the larger. Distinguishing between a sample and a population: population (using data from a small representation to make an intelligent guess) Sample - a set of observations drawn from the population of interest. Population - includes all possible observations about which we"d like to know. Ex: the average weight of the cdc"s sample of people were used to estimate the average weight for the entire us population, which was the cdc"s interest. Variable - an observation of physical, attitudinal, and behavioral characteristics that can take on different values. Some abstract variables include motivation and self-esteem.

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