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Descriptive and Inferential Statistics: Understanding Variability and Measurement Scales, Exams of Psychology

An overview of descriptive and inferential statistics, including the concepts of variability, measurement scales, and the empirical rule. Learn about the differences between nominal, ordinal, interval, and ratio scales, and discover the advantages and disadvantages of standard scores. Additionally, explore the concepts of sampling distributions, standard error of sample means, type 1 and type 2 errors, and power analysis.

Typology: Exams

2023/2024

Available from 04/12/2024

DrShirley
DrShirley 🇺🇸

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Download Descriptive and Inferential Statistics: Understanding Variability and Measurement Scales and more Exams Psychology in PDF only on Docsity! Psych Stats midterm descriptive statistics - used to summarize and describe a set f data in a clear and convenient fashion (GPA) inferential statistics - cant measure everyone used to draw inferences about a large population based on sample sample - subset of scores from population measure relatively small group of people populations - collection of measurements that share a common characteristics Variability - people differ from one another the extent to which scores in a group differ from one another, how spread out or scattered they are reasons for variability in research - individual differences unsystematic differences in procedure your manipulation Measurement scales - category ordinal property equal intervals absolute zero property category - assigned different number representing category ordinal property - can be used to measure those with least amount to most amount equal intervals - 1 unit difference remains constant absolute zero property - 0 is absence of something (ruler) types of scales - nominal ordinal interval ratio nominal - categories (gender) qualitative but not quantitative differences ordinal - ranks (class ranks) interval -