Chapter 1 Flashcards
terms and definitions for chap. 1 of An intro to statistics and research design
Descriptive statistic
organizes, summarizes, and communicates a group of numerical observations
inferential statistic
uses sample data to make a general estimates about the larger population
sample
is a set of observations drawn from the population of interest
population
includes all possible observations about which we’d like to know something
variable
is any observation of a physical, attitudinal, or behavioral characteristic that can take on different values
discrete observations
can take on only specific values (e.g. whole numbers); no other values can exist between these numbers
continuous observation
can take on a full range of values (e.g. numbers out to several decimal places); an infinite number of potential values exists.
nominal variable
is a variable used for observations that have categories, or names, as their values.
ordinal variable
is a variable used for observations that have rankings (i.e. 1st, 2nd, 3rd,…) as their values
interval variable
is a variable used for observations that have numbers as their values’ the distance (or interval) between pairs of consecutive numbers is assumed to be equal
ratio variable
is a variable that meets the criteria for an interval variable but also has a meaningful zero point.
scale variable
a variable that meets the criteria for an interval variable or a ratio variable
level
is a discrete value or condition that a variable can take on
independent variable
has at least two levels that we either manipulate or observe to determine its effects on teh dependent variable
confounding variable
is any variable that systematically varies with the independent variable so that we cannot logically determine which variable is at work; also called a confound.