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Sample Size Calculation01:19

Sample Size Calculation

6.7K
Knowledge of the sample size is the first requirement to conduct random sampling or an experiment. The sample size is the total number of units, observations, or groups (in some cases) used to get the data to estimate a population parameter. As the name suggests, the sample size is that of the sample drawn from the population and differs from the population size.
The sample size for the given experiment or sampling effort is fundamental to any study design. Sample size decides the number of...
6.7K
One-Way ANOVA: Equal Sample Sizes01:15

One-Way ANOVA: Equal Sample Sizes

4.2K
One-Way ANOVA can be performed on three or more samples with equal or unequal sample sizes. When one-way ANOVA is performed on two datasets with samples of equal sizes, it can be easily observed that the computed F statistic is highly sensitive to the sample mean.
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
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One-Way ANOVA: Unequal Sample Sizes01:15

One-Way ANOVA: Unequal Sample Sizes

6.8K
One-way ANOVA can be performed on three or more samples of unequal sizes. However, calculations get complicated when sample sizes are not always the same. So, while performing ANOVA with unequal samples size, the following equation is used:
6.8K
Dose Size and Dosing Frequency: Determination Methods01:21

Dose Size and Dosing Frequency: Determination Methods

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Determining the optimal dose size and dosing frequency in pharmacotherapy is crucial for achieving therapeutic effectiveness while minimizing adverse effects. This article explores the methodologies employed in determining these parameters, focusing on their significance and interplay to tailor dosing regimens.Dose Size: Dose size refers to the amount of a drug administered in a single dose. It is determined based on the drug's pharmacodynamics and pharmacokinetics properties and...
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What is an Experiment?01:12

What is an Experiment?

19.2K
An experiment is a planned activity carried out under controlled conditions. The purpose of an experiment is to investigate the relationship between two variables. When one variable causes change in another, we call the first variable the explanatory or independent variable. The affected variable is called the response or dependent variable. In a randomized experiment, the researcher manipulates values of the explanatory variable and measures the resulting changes in the response variable. The...
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Cell Size01:22

Cell Size

132.6K
Cell sizes vary widely among and within organisms. Bacterial cells range between 1-10 micrometers (μm)and are considerably smaller than most eukaryotic cells. The smallest bacteria are 0.1 μm in diameter—about a thousand times smaller than eukaryotic cells, which typically range from 10-100 μm.
Surface Area
Cells can take in nutrients and water via diffusion through the plasma membrane itself or through specific channels in the membrane. The area of the membrane surrounding...
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The "completely randomised" and the "randomised block" are the only experimental designs suitable for widespread use in pre-clinical research.

Scientific reports·2020
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Related Experiment Video

Updated: Feb 16, 2026

Sampling and Analysis of Animal Scent Signals
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Sampling and Analysis of Animal Scent Signals

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On determining sample size in experiments involving laboratory animals.

Michael Fw Festing1

  • 1Medical Research Council Toxicology Unit, University of Leicester, UK.

Laboratory Animals
|January 10, 2018
PubMed
Summary

Researchers can justify laboratory animal sample sizes using a simple approach. This method allows scientists to estimate detectable effect sizes based on provisional sample sizes, aligning with power analysis requirements.

Keywords:
3Rsethics and welfarepolicyreductionsample sizestatisticstechniques

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Area of Science:

  • Animal research methodology
  • Statistical analysis in life sciences

Background:

  • Increasing pressure on scientists to justify sample sizes in animal research.
  • Current methods for sample size determination include tradition, resource equation, and power analysis.

Purpose of the Study:

  • To review existing sample size determination methods.
  • To introduce a simplified approach (KISS) for provisional sample size selection and effect size estimation.
  • To provide a justification for sample sizes in terms of power analysis.

Main Methods:

  • Review of traditional, resource equation, and power analysis methods.
  • Introduction of the "KISS" (Keep It Simple, Scientist) approach.
  • Provisional sample size selection followed by effect size recalculation.

Main Results:

  • The KISS approach allows scientists to make a provisional sample size choice.
  • Scientists can easily estimate the detectable effect size for a chosen sample size.
  • Increasing sample size allows for the detection of smaller effect sizes.
  • The method is simple, requires no software, and aligns with power analysis.

Conclusions:

  • The KISS approach offers a practical and justifiable method for determining sample sizes in laboratory animal studies.
  • This method simplifies the process while meeting the statistical requirements of power analysis.
  • It empowers researchers to proactively manage sample size and expected outcomes.