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Understanding Psychology Statistics: Populations, Samples, & Descriptive/Inferential Stats, Exams of Statistics

An introduction to statistics in psychology, explaining the concepts of populations, samples, variables, data, descriptive statistics, inferential statistics, sampling error, and margin of error. It also touches upon the importance of statistics in research and the difference between descriptive and inferential statistics.

Typology: Exams

2023/2024

Available from 04/01/2024

DrShirley
DrShirley 🇺🇸

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Download Understanding Psychology Statistics: Populations, Samples, & Descriptive/Inferential Stats and more Exams Statistics in PDF only on Docsity! Intro to Psychology Statistics Chapter 1 What are statistics used for? - Used to organize and summarize the information so that the researcher can see what happened in the research study and can communicate the results to others. Statistics helps researcher by... - Answering the questions that initiated the research by determining exactly what general conclusions are justified based on the specific results that were obtained. Statistics - Refers to a set of mathematical procedures for organizing, summarizing, and interpreting information. Population - Is the entire set of the individuals of interest for a particular research question. Sample - A set of individuals selected from a population, usually intended to represent the population in a research study. Variable - A characteristic or condition that changes or has different values for different individuals. Data - A measurement or observation data set - A collection of measurements or observations datum - A single measurement or observation and its commonly called a score or raw score Parameter - a value, usually a numerical value, that describes a population. usually derived from measurements of the individuals in the population. Statistic - a value, usually a numerical value, that describes a sample. a statistic is usually derived from measurements of the individuals in the sample. Descriptive statistics - consists of a statistical procedures that are used to simplify and summarize data. Inferential statistics - consist of techniques that allows us to study samples and then make generalizations about the populations from which they were selected. sampling error - is the naturally occurring discrepancy, or error, that exists between sample statistics and the corresponding population parameter. Margin of error is... - is the sampling error Is there always a margin or error in statistics? - always some margin of error then sample statistics are used to represent population parameters.
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