MIDTERM Flashcards
produced by counting and assumes whole numbers only
Discrete Random Variables
results of measuring and may take on any numbers containing within the numerical intervals
Continuous Random Variables
is the central value or average of its corresponding probability mass function — also called as “expected value”
Mean
measures how far each number in the set is from the mean (average)
Variance
measures the dispersion of a dataset relative to its mean — Below SD & Above SD
Standard Deviation
is a bell shaped curve and also known as Gaussian distribution.
Normal distribution
also referred to as the three-sigma rule or 68.3–95.4–99.7 rule,
Empirical Rule
the table of areas under the curve
z-table
all the members of the group you are interested in.
population
all the members of the group you are interested in
sample
is a process used in statistical analysis in which a predetermined number of observations are taken from a larger population.
sampling
Each element of the population has an equal
chance of being selected.
Simple Random Sampling
Every member is assigned a unique number. T
Lottery Method
This table consists of a series of digits (0-9) that are generated randomly.
Use of Table of Random Numbers
This is equally precise as the simple random
sampling.
systematic random sampling
This can be done by first dividing the elements in the population into strata and then samples
stratified random sampling
A multistage sampling method adopted when it is either impossible or impractical to compile an exhaustive list of elements found in the target population.
clustered sampling
a sampling technique that is done using the combination of different sampling techniques.
multi stage sampling
The selection of samples based on accessibility to the researcher.
convenience sampling
The selection of samples based on criteria set by the researcher.
purposive sampling
The selection of samples based on a fixed number or quota set of the study.
quota sampling
The selection of samples through referrals made by people who possess characteristics that are of interest to the researcher.
snowball (referral)
is a measure that describes a population. Parameter includes population mean μ, population variance σ², and population standard deviation σ.
parameter
is a measure that describes a sample. Statistics include sample mean x, sample variance s² and sample standard deviations
statistic
