Module 1.1: Basic Concepts in Inferential Statistics Flashcards
the entire collection of entities that we want information about, on which inferences are made
POPULATION
the subset of the population we actually examine to gather information
SAMPLE
reasons for studying a sample rather than the entire population
-very costly
-time-consuming
-can be destructive
summary measures from a population
PARAMETERS
examples of parameters
-population mean
-population standard deviation
summary measures based on a sample are called ______
statistics
examples of statistics
sample mean
sample standard deviation
a characteristic or attribute that is measured for the unit under consideration
VARIABLE
realized value of a variable that is measured and recorded for each unit
OBSERVATION
collection of observations on one or more variables is called
DATA
measures a characteristic that can be classified into one of a group of categories and cannot be measured on a natural numerical scale
QUALITATIVE VARIABLE
measures a characteristic that is recorded on a naturally occurring numerical scale; thus, performing arithmetic operations on this type of variable has a meaning
QUANTITATIVE VARIABLE
QUANTITATIVE VARIABLE
it can only take a finite or countable number of values
DISCRETE
QUANTITATIVE VARIABLE
variable takes infinitely many values at any point on a given interval
CONTINUOUS
LEVELS OF MEASUREMENT
-nominal
-ordinal
-interval
-ratio
