Ch01 Intro to Statistics Flashcards
Population
set of all individuals of interest in a particular study
Statistics
set of mathematical procedures for organizing, summarizing, and interpreting information
Sample
set of individuals selected from a population, typically to represent the population in a study
Variable
characteristic or condition that changes or has different values for different individuals
Data / Datum
measurement(s) or observation(s), commonly called a score or raw score
Data Set
collection of measurements or observations (data)
Parameter
value, typically numeric, that describes a population
usually derived from measurements of individuals in a population
Statistic
value, typically numeric, that describes a sample
usually derived from measurements of individuals in a sample
Descriptive Statistics
statistical procedures used to summarize, organize, and simplify data
Inferential Statistics
consist of techniques that allows us to study samples and then make generalizations about the populations from which they were selected
Sampling Error
naturally occurring discrepancy / error that exists between a sample statistic and the correspondence being population parameter
Correlational Method
two different variables are observed to determine whether there is a relationship between them
Experimental Method
one variable is manipulated while another variable is observed and measured
all other variables should be controlled
Independent Variable
variable that is manipulated (what you change)
Dependent Variable
variable that is observed (what you want to see change / stay the same)
Control Group / Condition
provide a baseline for comparison with the experimental group / condition
no changes done to group
Experimental Group / Conditon
receive the experimental treatment
observe what happens
Constructs
internal attributed or characteristics that cannot be directly observed but are useful for describing behavior
(hunger or intelligence)
Operational Definition
identifies a measurement procedure (set of operations) for measuring a construct
defines the construct in terms of the resulting measurements
Discrete Variable
consists of separate, indivisible categories
no values can exist between two neighboring categories (no gaps)
restricted to whole numbers
Continuous Variable
infinite number of possible values that fall between any two observed values
divisible into an infinite number of fractional parts
(time, mass)
Real Limits
boundaries of intervals for scores that are continuous
always halfway between adjacent categories
X=31.1, lower real limit=31.05, upper=31.15
Nominal Scale
consists of a set of categories that have different names
label and categorize observations, but do not make any quantitative distinctions between observations
(major, cannot say one is less than or more than the other)
numbers can be names (room numbers)
Ordinal Scale
consists of categories that are organized I an ordered sequence
rank observations in terms of size or magnitude
Interval Scale
consists of ordered categories that are all intervals if exactly the same size
Ratio Scale
interval scale where ratios of numbers reflect ratios of magnitude
has an absolute zero point
Summation Notation
sum of the scores
∑X = add all scores for variable X
10, 6, 7, 4 -> ∑26, N=4