over all steps to get final error leads to normal distribution no matter what the error on the individual steps works out to be. ○ Generally expect normal ... |
Positive and negative errors occur with equal probability and equal frequency. Small errors are more common than large errors. Large errors seldom occur, and ... |
Instead, if the random errors are normally distributed, the plotted points will lie close to straight line. Distinct curvature or other signficant deviations ... |
The general laws governing normal distributions are stated as follows: 1. Positive and negative errors occur with equal probability and equal frequency. 2. |
With most process modeling methods, however, inferences about the process are based on the idea that the random errors are drawn from a normal distribution. One ... |
The test statistic is compared against the critical values from a normal distribution in order to determine the p-value. The Kolmogorov-Smirnov test is ... |
The standard error of the mean is a measure of the dispersion of sample means around the population mean. Sampling distribution · Confidence interval · Bienaymé's identity |
The Gaussian (normal) distribution was historically called the law of errors. It was used by Gauss to model errors in astronomical observations. |
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