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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.
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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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Sampling Methods: Overview01:06

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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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Contaminants and Errors01:16

Contaminants and Errors

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Effective sample preparation is crucial for accurate and reliable laboratory analysis. During this process, two significant sources of error can arise: concentration bias from improper sample splitting and contamination caused by methods used to reduce particle size, such as grinding or homogenization. Identifying and minimizing these potential errors is crucial to ensuring the validity of the analysis.
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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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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
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Sample Size and its Importance in Research.

Chittaranjan Andrade1

  • 1Clinical Psychopharmacology Unit, Department of Clinical Psychopharmacology and Neurotoxicology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.

Indian Journal of Psychological Medicine
|January 31, 2020
PubMed
Summary
This summary is machine-generated.

Determining the correct sample size is crucial for study validity and ethical conduct. Statistical software aids in calculating appropriate sample sizes based on study assumptions and hypotheses.

Keywords:
Ethicsprimary hypothesisresearch methodologysample sizesecondary hypothesisizestatistical power

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Area of Science:

  • Biostatistics
  • Research Methodology
  • Clinical Trials

Background:

  • Accurate sample size estimation is essential at the proposal stage of any study.
  • Inadequate sample sizes (too small) compromise scientific rigor and are unethical.
  • Excessive sample sizes (too large) are wasteful and also unethical.

Purpose of the Study:

  • To discuss the critical role of sample size in research design.
  • To explore the relationship between sample size, statistical power, and study hypotheses.
  • To highlight the ethical implications of both under- and over-sampling.

Main Methods:

  • Discussion of principles for sample size calculation.
  • Explanation of how statistical software can be utilized.
  • Consideration of pilot studies when assumptions cannot be made.

Main Results:

  • Sample size directly impacts statistical power and the ability to detect significant findings.
  • Ethical considerations mandate appropriate sample sizes to avoid wasted resources and participant risk.
  • The choice of sample size influences the reliability and generalizability of study results.

Conclusions:

  • Proper sample size determination is a fundamental aspect of responsible scientific research.
  • Balancing statistical needs with ethical considerations is paramount in study planning.
  • Understanding the implications of sample size is key for researchers across disciplines.