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Basic Data Handling in Nuclear and Reactor Applications
Basic Data Handling in Nuclear and Reactor Applications

... When analyzing experimental data, it is of essential weight to treat the collected data correctly. It may happen that different results are obtained from the same raw data depending on how the information is handled and which methods that have been applied. Such situations can be avoided by followin ...
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Wilcox_APS 2010 - Helically Symmetric eXperiment
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... • Auxiliary coils can be energized to introduce additional terms into the |B| spectrum, without significantly changing the mean field strength, well depth, or rotational transform • Results in this configuration (Mirror) were qualitatively similar to those in the symmetric configuration (QHS) • Smal ...
Physics PHYS 276  Experimental Physics Laboratory Statistics in Counting Experiments
Physics PHYS 276 Experimental Physics Laboratory Statistics in Counting Experiments

... Physics PHYS 276 Experimental Physics Laboratory Statistics in Counting Experiments I. Introduction The purpose of the first lab is to explore the role of statistical uncertainty in particle counting measurements. To do this, a large number of identical measurements will be made using a GM detector. ...
Measures of Central Tendency Mean Mode
Measures of Central Tendency Mean Mode

... Standard Deviation The standard deviation is a statistic that tells you how tightly all the various examples are clustered around the mean in a set of data. Its symbol is σ (the lower case greek letter sigma). When the examples are pretty tightly bunched together and the bell-shaped curve is steep, ...
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Sensitivity, Probability and reliability analysis

... etc. ...
A worksheet on testing for equality of the means of two independent samples
A worksheet on testing for equality of the means of two independent samples

... different environments – but it can be argued that they could be the same for products from the same manufacturer (then, again, we would need to know much more about the samples: for example, do they come from the same factory, or not, are the production lines similar or different, and so on). If yo ...
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Repeatability is the variation in measurements
Repeatability is the variation in measurements

... Reproducibility is the variation in average measurements obtained when two or more people measure the same parts or items using the same measuring technique Accuracy 1) Accuracy refers to clustering of data about a known target. It is the difference between a physical quantity's average measurements ...
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Experimental uncertainty analysis

The purpose of this introductory article is to discuss the experimental uncertainty analysis of a derived quantity, based on the uncertainties in the experimentally measured quantities that are used in some form of mathematical relationship (""model"") to calculate that derived quantity. The model used to convert the measurements into the derived quantity is usually based on fundamental principles of a science or engineering discipline.The uncertainty has two components, namely, bias (related to accuracy) and the unavoidable random variation that occurs when making repeated measurements (related to precision). The measured quantities may have biases, and they certainly have random variation, so that what needs to be addressed is how these are ""propagated"" into the uncertainty of the derived quantity. Uncertainty analysis is often called the ""propagation of error.""It will be seen that this is a difficult and in fact sometimes intractable problem when handled in detail. Fortunately, approximate solutions are available that provide very useful results, and these approximations will be discussed in the context of a practical experimental example.
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