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What is the best description of a stratified random sample?
the same chance of being selected for each personequal representation for all groups
Is the best description of a stratified random sample?
Stratified random sampling is a form of probability sampling that provides a methodology for dividing a population into smaller subgroups as a means of ensuring greater accuracy of your high-level survey results. The smaller subgroups are called strata. Stratified random sampling is also called proportional or quota random sampling.
What is the difference between stratified and random sampling?
In a stratified sample, the sampling proportion is the same for each stratum. In a random sample it should be but, due to randomness, need not be.
Are random sampling and stratified sampling one and same?
No.
What is a stratified random sample?
Stratified random sampling is a sampling scheme which is used when the population comprises a number of strata, or subsets, which are similar within the strata but differ from one stratum to another. One example is school children stratified according to classes, or salaries stratified by departments.A simple random sample may not have enough representatives from each stratum and the solution is to use stratified random sampling. Under this scheme, the overall sampling proportion (sample size/population size) is determined and a sample is drawn from each stratum which represents the same proportion.
The best description of a stratified random sample?
Equal representation for all groups.
What is the best description of a stratified random sample?
the same chance of being selected for each personequal representation for all groups
What of these is the best description of stratified?
Stratified means to arrange or organize in layers or levels. It is often used to describe something that is divided into different classes or levels based on specific criteria. Stratified sampling, for example, is a method of sampling data where the population is divided into subgroups or strata before sampling.
Is the best description of a stratified random sample?
Stratified random sampling is a form of probability sampling that provides a methodology for dividing a population into smaller subgroups as a means of ensuring greater accuracy of your high-level survey results. The smaller subgroups are called strata. Stratified random sampling is also called proportional or quota random sampling.
Which of the following is the best description of a consumer good?
It is something tangible that can be touched or carried
Which of the following is the best description of inflation?
The general price of goods and services rises.
Which of the following is the best description of social psychology?
the study of how an individual's behavior is influenced by other party
What is another word for stratified stratified?
Layered.
Which of these answers is the best description of Jim Crow laws?
laws passed in the south following the Civil War that enforced segregation
Which of the following is the best description of a debit card?
It allows you to access the money in your checking or savings account electronically to make purchases.
Is simple squamous the epithelium best adapted for a body surface subject to abraision?
No, simple squamous epithelium is thin and not well-suited for areas subject to abrasion. Stratified squamous epithelium, with multiple layers of cells, is better adapted to withstand abrasion and protect underlying tissues.
What is best suited for area subject to friction?
Stratified squamous epithelial tissue is best suited for areas subjected to friction.
