Statistical inference can be divided into two categories: statistical estimating and statistical hypothesis testing.
Statistical inference is the process of inferring attributes of an underlying probability distribution via data analysis. By testing hypotheses and producing estimates, inferential statistical analysis infers properties of a population.
Inferential statistics allows you to create predictions ("inferences") from data (for example, a chart or graph). Descriptive statistics describes data (for example, a chart or graph). Inferential statistics are used to generate generalisations about a population using data from samples.
Statistics can be divided into two types: (1) descriptive statistics and (2) inferential statistics.
The population of inference is the population (or universe) to which a sample survey's conclusions are supposed to generalise. Surveys are used to investigate demographic characteristics and establish broad generalisations.
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