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Tag: paired t-test

Analyzing Rice Production Changes with a Paired t-Test Before and After Training Using Excel

By Kanda Data / Date Jul 04.2024 / Category Excel Tutorial for Statistics

Evaluating the effectiveness of extension programs is crucial to ensure that the interventions implemented provide positive impacts for farmers. One way to measure this effectiveness is by comparing production before and after the program using a paired t-test.

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Comparison Test

Difference between Paired t-test and Independent t-test

By Kanda Data / Date May 02.2024

A deep understanding of the difference between paired t-test and independent t-test is crucial for researchers. A strong grasp of both methods is key to making informed decisions based on analyzed data. Paired t-test and independent t-test are used to determine the difference in means between two sample groups.

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Comparison Test

Understanding the Difference Between Paired T-Test and Wilcoxon Test in Statistics

By Kanda Data / Date Mar 15.2024

In the realm of statistics, associative tests play a crucial role in examining differences, relationships, and influences between variables. One common form of associative test is the test for differences, which aims to compare the means of two or more sample groups.

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Comparison Test

Paired Sample T-test: Definition, Analysis Stage, and Interpreting the Results

By Kanda Data / Date Jan 14.2023

Researchers often use the t-test to analyze differences in two sample groups. The t-test that researchers often use consists of the paired sample t-test and the independent sample t-test.

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Comparison Test

Comparison of Two Sample Dependent (Paired t-test)

By Kanda Data / Date Jan 28.2022

The comparison of two paired samples becomes interesting to discuss this time. This two-sample comparison test is often analyzed using a paired t-test. Many researchers or students who are conducting research choose to use this test.

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Statistics

Difference Among Regression, Correlation, and Comparative Test

By Kanda Data / Date Dec 27.2021

The ability to understand statistical analysis is increasingly important for us. Researchers, practitioners, and students often use statistical analysis to process research results. In economics, agribusiness, and social sciences, we often observe the relationship of variables associated with each other.

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