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Related Concept Videos

Sample Size Calculation01:19

Sample Size Calculation

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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...
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One-Way ANOVA: Unequal Sample Sizes01:15

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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:
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A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling. 
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Sampling Plans01:23

Sampling Plans

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Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
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One-Way ANOVA: Equal Sample Sizes01:15

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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.
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Sample Proportion and Population Proportion01:20

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Collecting samples or responses from an entire population takes significant time and effort, so a researcher collects responses from only a sample of that population. Suppose a study needs to collect information about a specific mobile application. After sample collection, the researcher analyzes the data and discovers that most individuals in the sample use that specific mobile application. The sample proportion measures the number of individuals in a sample who either use or don't use the...
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General considerations for sample size estimation in animal study.

Mun Jung Ko1, Chi-Yeon Lim1

  • 1Department of Biostatistics, Dongguk University College of Medicine, Goyang, Korea.

Korean Journal of Anesthesiology
|February 4, 2021
PubMed
Summary

Calculating sample size in animal studies is crucial for research validity. Methods like precision and power analysis are used, but pilot studies may not require it.

Keywords:
Animal studyExploratory studyNonparametric sample sizeParametric sample sizePilot studyPower analysisPrecision analysis.

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Area of Science:

  • Veterinary research
  • Experimental design
  • Biostatistics

Background:

  • Determining sample size is vital for the validity, accuracy, and reliability of clinical studies.
  • However, not all studies necessitate sample size calculation, particularly pilot and exploratory research.
  • The purpose of the study and hypothesis testing needs to be considered before sample size estimation.

Purpose of the Study:

  • To introduce fundamental concepts and methodologies for sample size calculation in animal studies.
  • To guide researchers in determining when sample size calculation is appropriate versus when to focus on other experimental considerations.
  • To provide an overview of statistical approaches for sample size estimation in animal research.

Main Methods:

  • Discussion of precision analysis and power analysis for sample size estimation.
  • Consideration of nonparametric methods when normality assumptions are unmet or sample sizes are small.
  • Emphasis on evaluating study objectives to determine the necessity of sample size calculation.

Main Results:

  • Sample size calculation is situation-dependent and objective-driven in animal studies.
  • Precision and power analyses are key methods for estimation.
  • Nonparametric approaches offer flexibility for specific study conditions.

Conclusions:

  • While sample size calculation is important in many animal studies, it is not universally required.
  • Researchers must assess study objectives, distinguishing between hypothesis-testing and exploratory research.
  • Appropriate statistical methods, including precision and power analyses, ensure robust experimental design.