Course Content

Course Content

FAQs

The practise of making inferences about a population based on particular statistics generated from a sample of data gathered from that population is known as statistical inference.

The technique of deriving conclusions about populations or scientific truths from data is known as statistical inference. Statistical modelling, data-oriented methodologies, and explicit use of designs and randomization in studies are all examples of inference methods.

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.

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.

  • Point Estimation.
  • Interval Estimation.
  • Hypothesis Testing.

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