Answer:
descriptive and inferential statistics.
Step-by-step explanation:
Science can be defined as a branch of intellectual and practical study which systematically observe a body of fact in relation to the structure and behavior of non-living and living organisms (animals, plants and humans) in the natural world through experiments.
In Statistics, sampling can be defined as a process used to collect or select data (objects, observations, or individuals) from a larger statistical population using specific procedures.
There are various types of sampling used by researchers and these are;
1. Random sampling.
2. Systematic sampling.
3. Stratified sampling.
4. Cluster sampling.
5. Opportunity or convenience sampling.
Focusing on describing or explaining data versus going beyond immediate data and making inferences is the difference between descriptive and inferential statistics because descriptive statistics focuses on describing or explaining data contained in a population or obtained as a sample while inferential statistics is solely based on drawing an inference from a sample or population.
