DataPoints

Statistics play an important role in the ASTM International standards you write. A panel of experts is ready to answer your questions about how to use statistical principles in ASTM standards. Following is an archive of DataPoints articles published in Standardization News.

2024

May / June Solving Statistics Problems: How to Work with Difficult Data

Mar / Apr The Meaning of Statistical Confidence

Jan / Feb Revisiting Statistical Intervals: Common Statistical Intervals, Interval Selection, and Examples

2023

Nov/Dec Some fine points of determining conformity to specification

Sep/Oct How can a laboratory demonstrate its proficiency?

Jul/Aug What are Certified Reference Materials?

May/Jun Fundamental Measurement Concepts

Mar/Apr A Primer on the Poisson Distribution and Applications in Quality Control and Risk Analysis

Jan/Feb Quantifying Probability of Detection (POD) Using the Binomial Distribution

2022

Nov/Dec Understanding Populations

Sep/Oct Recognizing Multiplicity in Statistical Testing

Jul/Aug Controlling the Alpha Risk of Multiple Equivalence Tests

May/Jun Reporting for Hypothesis Tests

Mar/Apr Power and Sample Size, Part 1

Jan/Feb Design of Experiment: Why?

2021

Nov/Dec Model Quality

Sep/Oct Statistical Testing in Context

Jul/Aug Building on Reliability: Reliability Test Planning, Part 3

May/Jun Building on Reliability: Reliability Test Planning, Part 2

Mar/Apr The (Mis)Use of Ordinary Linear Squares Regression

Jan/Feb Building on Reliability: Reliability Test Planning

2020

Nov/Dec The Impact of Measurement Variability Heterogeneity on Calibration and Control Charting

Sept/Oct Probability Models for Epidemics and Materials

Jul/Aug General Considerations for Working with Data

May/Jun Setting an Upper Confidence Bound on Proportion Nonconforming

Mar/Apr The Weibull Model — Building on Reliability

Jan/Feb Dealing with Outliers

2019

Nov/Dec GESD

Sep/Oct Questions about Sample Size

Jul/Aug The Kilogram, Redefined

May/Jun Uncertainty: Part 3, The Role and Estimation of Bias

Mar/Apr Standard Error Concept

Jan/Feb Point about Reliability