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Related Concept Videos

Adjusting a Traverse01:12

Adjusting a Traverse

In the site survey of a four-sided traverse, internal angles are essential to ensure geometric accuracy. The survey revealed that the sum of the measured internal angles was 359 degrees and 48 minutes, which is 12 minutes less than the expected 360 degrees. This discrepancy signals an error likely arising from measurement inaccuracies during the fieldwork.To rectify this error, the adjustment process involved distributing the 12-minute shortfall equally across the four internal angles. By...
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Stratified Sampling Method01:16

Stratified Sampling Method

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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Distributions to Estimate Population Parameter01:26

Distributions to Estimate Population Parameter

The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
Testing a Claim about Population Proportion01:24

Testing a Claim about Population Proportion

A complete procedure for testing a claim about a population proportion is provided here.
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Estimating Population Standard Deviation

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Updated: Jun 19, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

2011 UK Census coverage assessment and adjustment methodology.

Owen Abbott1

  • 1Office for National Statistics.

Population Trends
|October 20, 2009
PubMed
Summary
This summary is machine-generated.

Census undercounts disproportionately affect certain populations and areas, leading to potential misallocation of resources. This research details improvements for the 2011 Census coverage assessment and adjustment strategy to address these issues.

Related Experiment Videos

Last Updated: Jun 19, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Area of Science:

  • Demography
  • Statistical Methodology
  • Population Studies

Background:

  • Census counts are imperfect, with undercounts occurring unevenly across geographic areas and demographic groups (e.g., age, gender).
  • Accurate measurement of small populations is increasingly challenging, yet crucial for resource allocation.
  • Unadjusted census data can lead to significant financial misallocation, particularly impacting groups with higher funding needs.

Purpose of the Study:

  • To outline the proposed methodology for the 2011 Census coverage assessment and adjustment strategy.
  • To detail research conducted to develop improvements and innovations in census methodology.
  • To address the challenges of undercounting and its impact on resource allocation.

Main Methods:

  • Development of an improved coverage assessment and adjustment strategy for the 2011 Census.
  • Focus on research to innovate and enhance existing census methodologies.
  • Building upon the strategy outlined in Population Trends 127 (Abbott, 2007).

Main Results:

  • The article presents the refined methodology for the 2011 Census.
  • Research has been conducted to support the proposed improvements and innovations.
  • The strategy aims to mitigate issues related to population undercounts.

Conclusions:

  • The proposed methodology seeks to improve the accuracy of the 2011 Census.
  • Addressing undercounts is critical for equitable resource distribution.
  • Continued research and innovation are essential for effective census-taking.