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by: Upasana Raja

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2

# Chap1 PSY 1003

Upasana Raja
Temple
Statistics for Psychology
Jennifer Pacyon

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Exam notes with terminologies
COURSE
Statistics for Psychology
PROF.
Jennifer Pacyon
TYPE
Bundle
PAGES
2
WORDS
KARMA
75 ?

## Popular in Psychlogy

This 2 page Bundle was uploaded by Upasana Raja on Wednesday September 23, 2015. The Bundle belongs to PSY 1003 at Temple University taught by Jennifer Pacyon in Summer 2015. Since its upload, it has received 84 views. For similar materials see Statistics for Psychology in Psychlogy at Temple University.

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Date Created: 09/23/15
Chapter 1 Introduction to Social Science Research Principles and Terminologies Population An individual or group that represents all the members of a group of interest There are two kinds of population namely in nite and nite Sample Is a subset of population Parameter A values or values derived from population data Descriptive Statistics Collection presentation and description of sample data lnferential Statistics Making decisions and drawing conclusions about populations Random Sampling Every member of the population has an equal chance of being selected into a sample your study Biased Sampling Method A sampling method that produces data which systematically differs from the sampled population Unbiased sampling method One that is not biased Sampling methods that often result in biased samples 1 Convenience sample Sample selected from elements of a population that are easily accessible 2 Volunteer sample Sample collected from those elements of the population which chose to contribute the needed information on their own initiative Variable A characteristic that can have different values Experiment A planned activity whose results yield a set of data Parameter A numerical value summarizing all the data of an entire population Statistic A numerical value summarizing the sample data Quantitative Variable A variable that quanti es an element of a population Note Think Numbers Discrete Variable A quantitative variable that has speci c values and cannot have values between these speci c values Continuous Variable A quantitative variable that can in theory have an in nite number of values between any two values Qualitative Variable A variable that categorizes or describes an element of a population Nominal Variable A qualitative variable that categorizes or describes or names an element of a population Ordinal Variable A qualitative variable that incorporates an ordered position or ranking The order of this information is important Experiment The investigator controls or modi es the environment and observes the effect on the variable under study Independent Variable IV The variable being changedmanipulated in a study Dependent Variable DV The variable being measured in a study Experiment uses a control group Separate group of participants that are receiving the IV receiving differentbaseline tx or no tx Uses random assignment Each participant has an equal chance of being the control group or experimental group Quasiexperimental Design Resembles a traditional experiment but lacks ONE ingredient Random Assignment Case Study Descriptive analysis of one person a small group of people or an event Provides rich detailed information Dif cult to generalize the ndings Dif cult to justify treating a large number of people based on a study of one personsmall group of people

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