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Student t Distribution

Student t Distribution

The population standard deviation is rarely known in many day-to-day examples of statistics. When the sample sizes are large, it is easy to estimate the population standard deviation using a confidence interval, which provides results close enough to the original value. However, statisticians ran into problems when the sample size was small. A small sample size caused inaccuracies in the confidence interval.
The Student t distribution was developed by William S. Goset (1876–1937) of the...

Microsoft Excel: Student's t-Test

Microsoft Excel: Student's t-Test

Student's t-test in Microsoft Excel is a statistical method used to compare the means of two groups to determine if they are significantly different from each other. It's commonly used to evaluate hypotheses, such as testing whether a treatment has an effect compared to a control group. Excel provides built-in functions to perform t-tests, making it accessible for users needing to conduct basic statistical analysis.
To conduct a t-test in Excel, use the T.TEST function or the "Data...

Comparing Experimental Results: Student's t-Test

Comparing Experimental Results: Student's t-Test

The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...

Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test

Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test

In parametric statistics, two fundamental tests stand out for their utility and wide application: the Student's t-test and goodness-of-fit tests. These tests provide researchers with a robust method for drawing insights from data, testing hypotheses, and making informed decisions based on their findings.
The Student's t-test is a statistical test that examines if there is a statistically significant difference between the means of two groups. This test is instrumental when dealing with...

Le Chatelier's Principle: Changing Concentration

Le Chatelier's Principle: Changing Concentration

A system at equilibrium is in a state of dynamic balance, with forward and reverse reactions taking place at equal rates. If an equilibrium system is subjected to a change in conditions that affects these reaction rates differently (a stress), then the rates are no longer equal and the system is not at equilibrium. The system will subsequently experience a net reaction in the direction of a greater rate (a shift) that will re-establish the equilibrium. This phenomenon is summarized by Le...

First Law of Thermodynamics

First Law of Thermodynamics

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Related Experiment Video

Updated: Jan 25, 2026

Physiological Experimentation with the Crayfish Hindgut: A Student Laboratory Exercise

Physiological Experimentation with the Crayfish Hindgut: A Student Laboratory Exercise

Published on: January 18, 2011

AJPH STUDENT THINK TANK COMMENTS

Shanaé Burch¹, Caitlin R Williams¹, Jay Balagna¹

¹Shanaé Burch is with the Department of Health and Behavior Studies, Teacher's College, Columbia University, New York, NY. Caitlin R. Williams is with the Department of Maternal and Child Health, Gillings School of Global Public Health, University of North Carolina-Chapel Hill. Jay Balagna is with the Rollins School of Public Health, Emory University, Atlanta, GA. Jeremy Wang is with the Brown University School of Public Health, Providence, RI. Jason Kirchick is with the College of Graduate and Professional Studies, University of New England, Biddeford, ME. Emily Dalton is with the Cornell MPH Program, Cornell University, Ithaca, NY.

American Journal of Public Health

|May 9, 2019

Summary

No abstract available in PubMed .

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