Business Statistics Class Work Sheet
1
1)
Compare and contrast simple random sampling, stratified random sampling and
systematic sampling.
In SRS, everyone in the sample size has an equal chance of being chosen.
A stratified random sample does the same thing, except this method first
divides people into strata by characteristic, then randomly chooses a set
number. In systematic sampling, everyone has an equal chance of being
chosen, but not every possible sample size of n can like in SRS.
2)
Explain the difference between a sample and a population.
The population includes all individuals we wish to get information from
for a study. Since the population is (usually) entirely too big to effectively
study, a sample of individuals is chosen from the population, such as 1000
individuals rather than the population of 10,000.
3) Explain the difference between categorical and quantitative variables. Give
examples of each.
Categorical variables and not numeric, such as separating people by those
taking a French class and those who are not. Quantitative variables are
numeric, and include taking the heights of everyone in a classroom.
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 Spring '08
 staff
 Statistics, Standard Deviation, Systematic Sampling, equal chance

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