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Tukey HSD Calculator Online

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The Tukey HSD (Honestly Significant Difference) Calculator is a valuable statistical tool used in the field of analysis of variance (ANOVA). It aids researchers and analysts in determining the significance of differences between group means in a study. This calculator provides a critical value, known as Tukey's HSD, which helps in identifying specific group pairs with significant differences.

Formula of Tukey HSD Calculator

The Tukey HSD formula is expressed as follows:

HSD = q * √(MSW / n)

Where:

  • HSD: Tukey's Honestly Significant Difference value.
  • q: Critical value from the studentized range distribution table, determined based on the desired significance level and degrees of freedom.
  • MSW: Mean Square Within Groups (error mean square) obtained from the ANOVA.
  • n: Number of observations in each group.
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General Terms Table

To facilitate ease of use, here's a table of general terms frequently searched by users:

TermDescription
ANOVAAnalysis of Variance, a statistical method for comparing means.
Critical ValueThe threshold value used to determine statistical significance.
Mean Square Within GroupsMeasure of the variability within individual groups in ANOVA.
Degrees of FreedomThe number of values in the final calculation of a statistic that are free to vary.

Example of Tukey HSD Calculator

Let's consider a practical example to understand how to use the Tukey HSD Calculator. Suppose you have conducted an ANOVA test and obtained the necessary values:

  • q = 2.35
  • MSW = 25.6
  • n = 20
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Plug these values into the formula:

HSD = 2.35 * √(25.6 / 20)

Calculate the result, and the obtained value for Tukey's HSD will provide insights into the significance of differences between group means.

Most Common FAQs

Q: What is Tukey's HSD?

A: Tukey's HSD (Honestly Significant Difference) is a statistical method use to identify significant differences between group means in ANOVA. It helps researchers pinpoint which specific group pairs exhibit meaningful distinctions.

Q: How to find the critical value (q)?

A: The critical value (q) is obtained from the studentized range distribution table, typically based on the desired significance level and degrees of freedom.

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