STATS Flashcards
collection of methods for planning experiments
PROBABILITY
values that variables can assume
DATA
characteristics that observable or measurable in every unit of universe
VARIABLE
set of all possible values of a variable
POPULATION
subgrouo of a population
SAMPLE
words that represent class or category
QUALITIVE VARIABLE
number that represent any amount or count
QUANTITIVE VARIABLE
can be counted quantitive variables
DISCRETE VARIABLE
measures by assuming value or quantitive
CONTINUOUS VARIABLE
data consisting names or values
NOMINAL LEVEL
data arranged in some orders
ORDINAL LEVEL
uses for determining meaningful amount of differences
INTERVAL LEEVEL
interval level modified to include the inherent zero strating point
RATIO LEVEL
using chance or random numbers
RANDOM SAMPLING
done bynnumbering each subject of the population and then selecting nth number
SYSTEMATIC SAMPLING
intact groyup
CLUSTER SAMPLING
average of the data
MEAN
midpoint of the data
MEDIAN
value that most often
MODE
distance between largest and smallest data
RSANGE
central tendency
MEAN
MEDIAN
MODE
square of the standard deviation of teh data
VARIANCE
how spread out numbers are
STANDARD DEVIATION
Dispersion
RANGE
VARIANCE
STANDARD DEVIATION
field of mathematics that deals with chance
PROBABILITY
activity in which results cannt be oredicted with certainty
EXPERIMENT
repetitn of experiment
TRIAL
result of an experiment
OUTCOME
,collection of outcomes
EVENT
event with only one possible outcome
SIMPLE EVENT
sets that contain all possible outcomes of the experiment
SAMPLE SPACE
a numerically valued function defined over a sample spacwe
RANDOM VARIABLE
can nly take a finite number of distinct values
DISCRETE RANDM VARIABLES
infinite numbers or values in an interval between specific values
CONTINUOUS RANDOM VARIABLE
lisitng of all possible values of discrete random variabke along their corresponding probabilities
DISCERETE PROBABILITY DISTRIBUTION
mean of discrete random variabkes X
EXPECTED VALUE OF X
how to get mean
VALUES ( X) TIMES pROBABILITY OUTCOME P(x) THEN ADD ALL
how to get variance
SQUARE THE VALUES (X) THEN MULTIPLY TO p(X) ADD ALL THEN SUBTRACT MEAN SQUARED
how to get standard deviation
SQUARE ROOT OF VARIANCE