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Related Concept Videos

Statgraphics01:10

Statgraphics

Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...
Review and Preview01:10

Review and Preview

In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
Review and Preview01:13

Review and Preview

Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...
Significance Testing: Overview01:04

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Significance testing is a set of statistical methods used to test whether a claim about a parameter is valid. In analytical chemistry, significance testing is used primarily to determine whether the difference between two values comes from determinate or random errors. The effect of a particular change in the measurement protocol, analyst, or sample itself can cause a deviation from the expected result. In the case of a suspected deviation/outlier, we need to be able to confirm mathematically...

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Related Experiment Video

Updated: May 19, 2026

A User-friendly and Powerful R Analysis of Large-scale Datasets
10:56

A User-friendly and Powerful R Analysis of Large-scale Datasets

Published on: November 4, 2025

Statistical insight: a review.

Emily Vardell1, Yanira Garcia-Barcena

  • 1Calder Memorial Library, Leonard M Miller School of Medicine, University of Miami, Florida 33101, USA. evardell@med.miami.edu

Medical Reference Services Quarterly
|August 3, 2012
PubMed
Summary
This summary is machine-generated.

Statistical Insight database allows users to search diverse data sources in one place. Evaluation involved basic and advanced searches to assess its capabilities for accessing government and research data.

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Last Updated: May 19, 2026

A User-friendly and Powerful R Analysis of Large-scale Datasets
10:56

A User-friendly and Powerful R Analysis of Large-scale Datasets

Published on: November 4, 2025

Area of Science:

  • Data Science
  • Information Retrieval

Background:

  • Accessing comprehensive data is crucial for research and decision-making.
  • Existing data sources are often fragmented across various platforms.

Purpose of the Study:

  • To evaluate the functionality of the Statistical Insight database.
  • To assess the efficiency of basic versus advanced search queries within the database.

Main Methods:

  • Conducted two sample searches on the same topic.
  • Performed one basic search and one advanced search.
  • Utilized the Statistical Insight database for search execution.

Main Results:

  • The Statistical Insight database aggregates data from federal, private, research, and international sources.
  • Search queries were executed to test data retrieval capabilities.

Conclusions:

  • The database provides a unified search interface for diverse datasets.
  • Further analysis is needed to fully characterize the database's performance across different query types.