What is sampling?
The process by which units in a given population are selected for a study
Sampling allows researchers to study a subset of a population rather than the entire group.
List three reasons for sampling.
- It can be studied more quickly
- It is less expensive
- Studying the entire population is often impossible
These reasons highlight the practical advantages of using sampling in research.
True or false: Sample results are often more accurate than results based on a population.
TRUE
Sampling can provide more precise estimates than attempting to study the entire population.
What is simple random sampling?
A method where each unit has an equal chance of being selected
This technique ensures that every member of the population has the same opportunity to be included in the sample.
What does stratified random sampling aim to achieve?
An equal level of precision across different subgroups
This method divides the population into strata and samples from each to ensure representation.
What is the purpose of systematic random sampling?
To contain all outcomes of interest
This method involves selecting units based on a fixed interval from a randomly chosen starting point.
Fill in the blank: The formula for sample proportion is _______.
n (sample size) / N (population size)
This formula helps in calculating the proportion of the sample in relation to the entire population.
