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Testing a Claim about Population Proportion01:24

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A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
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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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Recommendations for reporting statistical results when comparing proportions.

Colleen M Vrbin1

  • 1Analytical Insights, LLC, Allison Park, Pennsylvania, USA.

Cytopathology : Official Journal of the British Society for Clinical Cytology
|April 11, 2022
PubMed
Summary
This summary is machine-generated.

This article provides guidance on reporting statistical results for comparing proportions, a common method in cytopathology research. It emphasizes the chi-square test and recommends consulting statisticians for appropriate data analysis planning.

Keywords:
Fisher’s exact testMcNemar testchi-square testconfidence intervaleffect sizez test for proportions

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Area of Science:

  • Medical research
  • Biostatistics
  • Cytopathology

Background:

  • Statistical reporting is crucial for scientific integrity in cytopathology.
  • Comparing proportions is a frequently used statistical method in this field.
  • The chi-square test is a common inferential statistical test in cytopathology.

Purpose of the Study:

  • To provide recommendations for optimal data reporting in cytopathology.
  • To focus on statistical methods frequently used by the cytopathology audience.
  • To address the reporting of statistical results when comparing proportions.

Main Methods:

  • Review of common statistical tests for comparing proportions.
  • Focus on the chi-square test as a prevalent method.
  • Guidance on reporting statistical results.

Main Results:

  • Comparing proportions is the most commonly reported inferential statistical test category in cytopathology.
  • The chi-square test is frequently utilized for these comparisons.
  • This article summarizes common tests but does not provide exhaustive details.

Conclusions:

  • Optimal reporting of statistical methods, particularly for comparing proportions, is essential in cytopathology.
  • Researchers should consider consulting statisticians for analytical planning.
  • This series aims to improve statistical reporting practices in the field.