Learn about the key concepts and tests within inferential statistics, including t-tests, ANOVA, chi-square, correlation and regression.

Mar 25, 2024 · This article delves into the definition of inferential statistics, its types, methods, and practical examples, offering insights into how it supports decision-making in various fields.

Statistical inference is the process of using data analysis to infer properties of an underlying probability distribution. [1] Inferential statistical analysis infers properties of a population, for …

Nov 18, 2025 · Unlike descriptive statistics, which only summarize data, inferential statistics let us test hypotheses, make estimates, and measure the uncertainty about our predictions.

Inferential statistics help to draw conclusions about the population while descriptive statistics summarizes the features of the data set. There are two main types of inferential statistics - …

Inferential statistics involves generalizing the sample results to the population. To make that generalization, you must be confident that the sample accurately represents the population.

The goal of inferential statistics is to discover some property or general pattern about a large group by studying a smaller group of people in the hopes that the results will generalize to the …

The branch of statistics known as inferential statistics or statistical inference is concerned with drawing conclusions about a population based on a sample drawn from that population.

Sep 4, 2020 · While descriptive statistics summarize the characteristics of a data set, inferential statistics help you come to conclusions and make predictions based on your data.

Jun 11, 2025 · This article will guide you through the essential aspects of inferential analysis, blending theory with concrete examples, so that you can harness the true power of statistics.