If you’re new to quantitative data analysis, one of the many terms you’re likely to hear being thrown around is inferential statistics. In this post, we’ll provide an introduction to inferential stats, using …

Inferential statistics makes use of analytical tools to draw statistical conclusions regarding the population data from a sample. Hypothesis testing and regression analysis are the types of inferential statistics.

Jan 18, 2024 · Inferential statistics are crucial when you want to generalize your findings from a sample to an entire population. For example, in medical trials, you may use inferential statistics to determine …

Sep 4, 2020 · Inferential statistics have two main uses: making estimates about populations (for example, the mean SAT score of all 11th graders in the US). testing hypotheses to draw conclusions …

Explore key examples of inferential statistics and see how they're applied across business, healthcare, and more to inform decisions.

It’s crucial to understand the difference between sample statistics and population parameters in inferential statistics. They both use numbers to summarize the properties of a population or sample, …

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.

Sep 12, 2025 · Inferential Statistics Examples: Define inferential statistics, its uses, and see examples. Make predictions using sample data and descriptive statistics.

Jun 23, 2025 · Summary: Inferential statistics uses sample data to draw conclusions about a population. It utilizes hypothesis testing and regression analysis, helping estimate parameters like means and …

Nov 18, 2025 · Examples include the Chi-Square test, Mann-Whitney U test, and Kruskal-Wallis test. They are useful when data is skewed or categorical, such as customer ratings or behaviors.