STAT and PROBABILITY reviewer Flashcards
a selection of n elements derived from the N population, which is the subject of an investigation or experiment, where each point of the sample has an equal chance of being selected using the appropriate sampling technique.
RANDOM SAMPLING
a sampling technique in which each member of the population has an equal chance of being selected.
LOTTERY SAMPLING
a sampling technique in which members of the population are listed and samples are selected at intervals called sample intervals. In this technique, every nth item in the list will be selected from a randomly selected starting point.
SYSTEMATIC SAMPLING
a sampling procedure in which members of the population are grouped on the basis of their homogeneity. This technique is used when there are a member of distinct subgroups in the population within which full representation is required. The sample is constructed by classifying the population into subpopulations or strata on the basis of certain characteristics of the population, such as age, gender or socio-economic status. The selection of elements is then done separately from within each stratum, usually by random or systematic sampling methods.
STRATIFIED RANDOM SAMPLING
is sometimes referred to as area sampling and applied on a geographical basis. Generally, first sampling is performed at higher levels before going down to lower levels.
CLUSTER SAMPLING
uses a combination of different sampling techniques.
MULTI-STAGE SAMPLING
a descriptive population measure. It is a measure of the characteristics of the entire population (a mass of all the units under consideration that share common characteristics) based on all the elements within that population.
PARAMETER
is the number that describes the sample.
STATISTIC
a frequency distribution using the means computed from all possible random samples of a specific size taken from a population.
SAMPLING DISTRIBUTION OF SAMPLE MEAN
