- Students of Harvard University is the population of
interest
- Individuals are students
- Day and Time are the variables of interest. They are interval
variables
- They belong to Date data type which are a type of interval
variables
- In a statistical study, sampling methods refer to how we
select members from the population to be in the study. Multiple
sampling methods are available. Some of them are:
- Convenience sample: The researcher chooses a
sample that is readily available in some non-random way.
- Pros: Easy to use
- Cons: it could be biased
- Voluntary response sample: The researcher puts
out a request for members of a population to join the sample, and
people decide whether or not to be in the sample
- Pros: Easy to use
- Cons: it could be biased because the people who choose to
respond might have a similar opinion about the questions
- Simple random sample: Every member and set of
members has an equal chance of being included in the sample.
Technology, random number generators, or some other sort of chance
process is needed to get a simple random sample.
- Pros: They are fairly representative
- Cons: Difficult to execute
- Stratified random sample: The population is
first split into groups. The overall sample consists of some
members from every group. The members from each group are chosen
randomly.
- Pros: A stratified sample guarantees that members from each
group will be represented in the sample
- Cons: Difficult to choose the groups
- Systematic random sample: Members of the
population are put in some order. A starting point is selected at
random, and every nth member is selected to be in the
sample.
- Pros: Easy to execute and fairly representative