Random variable...that take decimal or fraction; represent measurable amounts
StandardScore / ZScore
Distance between a given value X and the mean
Variance and SD
Describes the dispersion or the variability of the distribution
NormalCurve / BellCurve
Represents the probability density function
RandomVariable
Function that associates a numerical value; X
Parameter
Describes an entire population (e.g., 45% of shs students are male)
NormalDistribution
Where most of the scores are closer to the mean
RandomExperiment
Experiment that can be repeated numerous times; result must be independent of one another
ProbabilityDistribution of a DiscreteRandomVariable
A list...or a formula of probabilities associated with each of its possible values
StratifiedRandomSampling
Selecting a simple random sample...subpopulation
Stratum - subpopulation (plural: strata)
MultistageSampling
Two or more probability techniques are combined; sampling within the sample
ClusterSampling
Population is divided into separate groups called clusters
Population
Where members have something in common; total set of observations
Carl Friedrich Gauss: 'Named the GaussianCurve a.k.a the normal curve'
EmpiricalRule
States that 68.26% of the scores fall within one standard deviation away from the mean, 95.44% of the scores fall within two standard deviations away from the mean, and 99.74% of the scores fall within three standard deviations away from the mean.
Statistic
Describes only the sample (e.g., 2 out of 100)
DiscreteRandomVariable
Random variable with a finite...can be counted; represent counts
NormalRandomVariable
Continuous random variable of normal distribution
Outcome
Result of a random experiment
Outliers
Scores that more than two sd away from the mean
Extreme Outliers - scores that more than three sd away from the mean
StandardNormalDistribution
Mean = 0, sd = 1
Sample
Smaller group or subset of the population
SimpleRandomSampling
Each member...has an equal chance of being chosen
in-kSystematicRandomSampling
Random selection of one of the first k elements in an ordered population...systematic selection of every kth element
domain
sample space
range
set of real numbers
standard deviation
the square root of the variance
extreme outliers
sores that are more than 3 standard deviation away from the mean
stratum
subpopulation (plural: strata)
multistage sampling
two or more probability techniques are combined; sampling within the sample