Population and Sample are the two fundamental terms of Inferential Statistics. Inferential Statistics uses probability to draw inferences on the characteristics of Populations using Sample Data. As the size of the population is large, it is often impractical or too expensive to collect data from entire population. Hence a small manageable representative portion of population known as sample is used for the study of Population behavior.
|Confidence Interval||Hypothesis Testing||Chi Square Test|
|Statistical Bias||Census||Data Collection Methods|
|Population Parameter||Sampling Methods||Sampling Error|