t-test | BestHub

Model Perspective

Dec 7, 2022 · Fundamentals

Can Different Diets Change Mouse Liver Iron? A Step‑by‑Step SPSS t‑Test Guide

This article presents a practical example using SPSS to perform an independent‑samples t‑test on iron concentrations in mouse livers from two diet groups, explains the assumptions, walks through data entry, test configuration, result interpretation, and concludes that the dietary effect is not statistically significant.

SPSSbiostatisticsexperimental design

0 likes · 4 min read

Can Different Diets Change Mouse Liver Iron? A Step‑by‑Step SPSS t‑Test Guide

Model Perspective

Nov 30, 2022 · Fundamentals

How to Perform One‑Sample and Two‑Sample t‑Tests in R

This article explains the theory behind hypothesis testing, demonstrates one‑sample and two‑sample t‑tests using R’s t.test() function with agricultural yield examples, and shows how to interpret one‑sided versus two‑sided test results for decision making.

Rdata analysishypothesis testing

0 likes · 5 min read

How to Perform One‑Sample and Two‑Sample t‑Tests in R

Model Perspective

Nov 14, 2022 · Fundamentals

Testing Equality of Means for Two Independent Normal Populations

This article explains how to conduct hypothesis tests for equality of means between two independent normal populations, covering both equal‑variance and unequal‑variance cases, detailing test statistics, degrees of freedom, critical values, and decision rules through examples on S&P 500 returns and bond recovery rates.

hypothesis testingindependent samplesstatistics

0 likes · 6 min read

Testing Equality of Means for Two Independent Normal Populations

Python Programming Learning Circle

Apr 12, 2022 · Fundamentals

Implementing Common Hypothesis Tests in Python: Z‑test, t‑test, F‑test and Data Exploration

This article demonstrates how to conduct various hypothesis tests—including Z‑test, one‑sample and two‑sample t‑tests, F‑test, as well as distribution fitting and outlier detection—using Python libraries such as Statsmodels, SciPy, and pandas on both the Iris dataset and a human temperature dataset.

Pythondata analysishypothesis testing

0 likes · 9 min read

Implementing Common Hypothesis Tests in Python: Z‑test, t‑test, F‑test and Data Exploration

Xueersi Online School Tech Team

Feb 14, 2020 · Product Management

Understanding A/B Testing: Statistical Foundations, Metric Evaluation, and Practical Applications

This article explains the principles of A/B testing, the statistical concepts such as population, sample, hypothesis testing, p‑values and t‑tests, describes how to calculate metrics for rate and mean indicators, and illustrates a real‑world experiment with detailed evaluation methods.

A/B testingexperiment designhypothesis testing

0 likes · 14 min read

Understanding A/B Testing: Statistical Foundations, Metric Evaluation, and Practical Applications