Articles with inferential statistics rarely have the actual words “inferential statistics” assigned to them. Similarly, authors rarely call inferential statistics “inferential statistics.” As a result, you must understand what inferential statistics are and look for signs of inferential statistics within the article.
All of the subjects with a shared attribute (country, hospital, medical condition, etc.).
A small subset of a population. Why a sample? It’s necessary to use a sample of a population because it is usually not practical (physically, financially, etc.) to measure or test the whole population. Instead, the sample is used to represent the entire population.
To form an opinion from evidence or to reach a conclusion based on known facts. Inferential statistics use research/observations/data about a sample to draw conclusions (or inferences) about the population.
Basic Inferential Statistics: Theory and Application: Basic information about inferential statistics from Purdue Owl.
Definitions of Inferential Statistics: Definitions of inferential statistics and statistical analysis by Science Direct.
