Asked by Makayla Caplinger on Jun 30, 2024

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A one-sample t-test is the parametric counterpart of the Friedman test for randomized block experimental design.

One-Sample T-Test

A statistical test used to determine whether the mean of a sample differs significantly from a known or hypothesized population mean under the assumption of a normally distributed single sample.

Parametric Counterpart

A statistical method or test that assumes the underlying data follows a particular distribution, often used in contrast to nonparametric methods.

Randomized Block

A design for experiments where subjects are divided into blocks and then randomly assigned to treatments.

  • Understand the distinctions between parametric and nonparametric statistical tests in relation to their assumptions about the data.
  • Attain understanding of the methodology used in applying the Friedman test for the purpose of comparing multiple groups in matched or paired samples.
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Stefanny Aldana VanegasJul 03, 2024
Final Answer :
False
Explanation :
A one-sample t-test is a parametric test that compares the mean of a single sample to a hypothesized value, while the Friedman test is a nonparametric test that compares the medians of multiple related samples. They are not directly comparable as they are designed for different types of experimental designs.