Oct 7, 2024 · Do you understand how to interpret the margin of error and confidence levels in your data? Get to grips with this short and easy guide.

Oct 23, 2024 · Linearity vs. repeatability, which one are you using? Find out how these measurements work and how they apply in our guide.

Feb 20, 2025 · Variable vs. attribute data, which is the best to use? Data is a cornerstone of analysis, learn how these data types differ in our guide.

Nov 11, 2024 · Random sampling is a method of choosing a sample of observations from a population to draw assumptions and inferences about the population.

Jul 1, 2013 · Applying regression requires special attention from the analyst. Each process step needs to be carefully examined and executed; a small mistake may lead to an erroneous model. This article …

Feb 26, 2010 · Stratified Random Sampling Like random samples, stratified random samples are used in population sampling situations when reviewing historical or batch data. Stratified random sampling is …

Feb 26, 2010 · Learn how to determine the sample size necessary for correctly representing your population.

Feb 26, 2010 · If the sample is not random, a bias in introduced which causes a statistical sampling or testing error by systematically favoring some outcomes over others. It is the responsibility of the …

Sep 30, 2013 · Sample size is part of the calculation for this sampling error: if a survey result shows a 50 percent satisfaction rating, does that represent 2 positive responses out of 4 surveys or 500 positives …

Oct 9, 2024 · It is measured in defect percent (or non-conformities) per hundred items. AQL is a sampling methodology for doing incoming inspection of products. The decision to accept or reject …