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Measures of Central Tendency

Measures of Central Tendency

The "center" of a data set is also a way of describing location. The two most widely used measures of the "center" of the data are the mean (average) and the median. The words "mean" and "average" are often used interchangeably. The substitution of one word for the other is common practice. The technical term is "arithmetic mean" and "average" is technically a center location. However, in practice among non-statisticians, "average" is commonly accepted for "arithmetic mean."

Center of Mass: Introduction

Center of Mass: Introduction

Any object that obeys Newton's second law of motion is made up of a large number of infinitesimally small particles. Objects in motion can be as simple as atoms or as complex as gymnasts performing in the Olympics. The motion of such objects is described about a point called the center of mass of the object. The center of mass of an object is a point that acts as if the whole mass is concentrated at that point. The center of mass of an object with a large number of infinitesimally small...

What is Central Tendency?

What is Central Tendency?

Descriptive statistics describe or summarize relevant characteristics of a sample and aid in the analysis of data of interest. When analyzing large quantities of data and developing an inference, one needs to identify a value representative of the entire data set. Characteristics such as central tendency, extreme values, range of measurements, or the most repeated value can help better understand the data.
The central tendency is the most conventionally used data characteristic. It is a...

Centroid of a Body

Centroid of a Body

The centroid is an important concept in engineering, physics, and mechanics. It is the geometric center of a body. It always lies within the body except in cases with holes or cavities. When the material that a body is composed of is uniform or homogeneous, the centroid coincides with its center of mass or the center of gravity.
For a homogeneous body with constant density, the centroid can usually be found using equations representing a balance of the moments of the body's volume. If the...

Statistical Analysis: Overview

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...

Central Tendency: Analysis

Central Tendency: Analysis

Measures of central tendency are tools used in biostatistics to identify the average or center of a dataset. They offer a single representative value for understanding and summarizing data distribution.
The mean is one such measure, calculated by totaling all values in a dataset and dividing by the number of values. For instance, the mean blood pressure reading (120, 130, 140, 150) would be 135. However, the mean can be affected by extreme values or outliers.
The median, another measure,...

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Related Experiment Video

Updated: Jul 10, 2026

Methods for Presenting Real-world Objects Under Controlled Laboratory Conditions

Methods for Presenting Real-world Objects Under Controlled Laboratory Conditions

Published on: June 21, 2019

Centre-specific or average unit costs in multi-centre studies? Some theory and simulation.

M Raikou¹, A Briggs, A Gray

¹City University, London, UK. m.raikou@city.ac.uk

Health Economics

|May 3, 2000

Summary

This summary is machine-generated.

Two methods for collecting treatment costs in multi-centre studies yield different results. Careful consideration of costing data collection and analysis is crucial for accurate multi-centre study findings.

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Area of Science:

Health Economics
Clinical Trial Methodology

Background:

Costing is a critical component of multi-centre studies.
Accurate cost estimation is essential for evaluating healthcare interventions.

Purpose of the Study:

To compare two distinct methods for collecting costing information in a simulated multi-centre trial setting.
To assess the impact of different costing approaches on average treatment cost estimates.

Main Methods:

Simulation of a clinical trial setting to compare costing methodologies.
Method 1: Averaging unit costs across centers and applying to center-specific resource use.
Method 2: Utilizing center-specific unit costs and resource volumes before averaging.

Main Results:

Statistically significant differences in average treatment cost estimates were observed between the two methods.
These differences persisted irrespective of resource substitutability, barring high uncertainty in center responses.
The choice of costing method impacts the reliability of treatment cost data.

Conclusions:

A more cautious approach to collecting, calculating, and interpreting treatment costs in multi-centre studies is recommended.
Methodological choices in health economic evaluations can substantially influence study outcomes.
Further research into optimal costing strategies for multi-centre trials is warranted.