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Related Concept Videos

Stratified Sampling Method01:16

Stratified Sampling Method

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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. 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.
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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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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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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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Apportioned voting.

Lloyd W Koenig1

  • 1Retired, Annandale, Virginia, United States of America.

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|March 3, 2025
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Summary
This summary is machine-generated.

A novel electoral system, apportioned voting, offers efficient proportional representation for large-scale elections. This system enhances hybrid models like cumulative voting and single transferable vote.

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Area of Science:

  • Political Science
  • Computational Social Science
  • Voting Theory

Background:

  • Existing electoral systems face challenges in efficiently managing large-scale elections with numerous candidates and positions.
  • Hybrid voting systems combine elements of different methods but may lack comprehensive generalization.
  • Proportional representation is a key goal in many democratic and organizational elections.

Purpose of the Study:

  • To introduce and describe a new electoral system named apportioned voting.
  • To present apportioned voting as a generalized hybrid of cumulative voting and single transferable vote.
  • To demonstrate the system's efficiency for large government and corporate elections.

Main Methods:

  • Detailed theoretical description of the apportioned voting system.
  • Development of Octave scripts for implementing the system.
  • Illustrative examples to demonstrate election performance and outcomes.

Main Results:

  • Apportioned voting provides a method for proportional representation.
  • The system is designed to efficiently handle elections with many voters, positions, and candidates.
  • Octave scripts enable practical implementation and analysis of election results.

Conclusions:

  • Apportioned voting presents a viable and efficient new electoral system.
  • The system offers a generalized approach to proportional representation, improving upon existing hybrid models.
  • The provided scripts facilitate the adoption and further study of apportioned voting.