quant-chapter 1 Flashcards
statistics
branch of mathematics used to summarize, analyze, and interpret a group of numbers or observations
descriptive statistics
statistics that summarize, organize, make sense of a set of scores or observations. presented in graphs, tables, or as summary statistics
inferential statistics
procedures used that allow researchers to infer or generalize observations made with samples to the larger population from which they were selected
data
measurements or observations that are typically numeric
datum
singular of data, single measurement or observation, usually referred to as a score or raw score
population (N)
defined as the set of all individuals, items or data of interest; group scientists try to generalize
population parameter
characteristic that describes a population
sample (n)
set of selected individuals, items or data taken from a population of interest
sample statistic
characteristic that describes a sample
science
study of phenomena, such as behavior, through strict observation, evaluation, interpretation, and theoretical explanation
experiment
any study that demonstrates cause, must control the conditions under which observations are made to isolate cause and effect relationships between variables
3 requirements for an experiment
randomization, manipulation, comparison
random assignment
random procedure used to ensure that participants in a study have an equal chance of being assigned to a particular group or condition
independent variable
variable that is manipulated in an experiment, different levels per group
dependent variable
variable that is believed to change in the presence of the independent variable
operational definition
description of some observable event in terms of the specific process or manner by which it was observed or measured
quasi-experiment
a study that lacks randomization, manipulation, or comparison
quasi-independent variable
variable whose levels are not randomly assigned to participants. differentiates groups or conditions being compared in a quasi experiment
correlation
determines a relationship between variables
scales of measurment
rules for how the properties of numbers can change with different uses
nominal scale
measurements where a number is assigned to represent something or someone
coding
procedure of converting a nominal value to a numeric value
ordinal scale
measurements where values convey order or rank alone
interval scale
measurements where the values have no true zero and the distance between each value is equidistant
equidistant scales
values whose intervals are distributed in equal units
true zero
describes values where the value 0 truly indicates nothing
ratio scales
measurements where a set of values has a true zero and are equidistant
continuous variable
measured along a continuum at any place beyond the decimal point. can be measured in whole units or fractional units
discrete variable
measured in whole units or categories that are not distributed along a continuum
quantitative variable
varies by amount, measured numerically and is often collected by measuring or counting
qualitative variable
varies by class, represented as a label and describes nonnumeric aspects of phenomena