Concepts that need to know in sampling theory
- Population: Consists of all subjects (human or otherwise)
that are being studied - Sample: A group of subjects selected from a
population - Variables: A characteristic or attribute that can assume different values
- Random variables: Variables whose values are determined by pure chance
- Parameter: An unknown fixed value of population variable
- Statistic: A known value of sample variable that represents the population
- Probability: Used in inferential statistics, for showing the chance of an event occurring / not occurring.
- Distribution: Functional probable occurrences of an event when it is repeatedly infinitely. It is generally approximately normal which is bell-shaped.
Samples and Variables
There are two Samples which is Independent ans dependent, independent sample is when members of one sample are not related to the members of the other sample while dependent is otherwise, it will have pairs with a member of other samples.
As for Variables also befall under two categories which is Quantitative and also Qualitative. Quantitative can be defined as numerical or even be ranked as an example age. Then it also can be discrete or continuous which is usually by scales other than nominal. Qualitative is a variables which can be placed into distinct categories or even by its' attributes for instance, by gender or even religion which is commonly used.