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<br />Inoomp~ete <br />Reoord <br /> <br />Leve~ of <br />Signifioanoe <br /> <br />Method of <br />Moments <br /> <br />Nonpca>ametrio <br /> <br />Norma~ <br />Distribution <br /> <br />OutUer <br /> <br />Pca>ameter <br /> <br />Peroent Chanoe <br /> <br />A streamflow record in which some peak flows are <br />missing because they were too low or high to record <br />or the gage was out of operation for a short period <br />because of flooding. <br /> <br />The probability of rejecting a hypothesis when <br />it is in fact true. At a "lO-percent" level of <br />significance the probability is 1/10. <br /> <br />A standard statistical computation for estimating <br />the moment of a distribution from the data of a <br />sample. <br /> <br />The same as distribution-free. <br /> <br />A probability distribution that is symmetrical <br />about the mean, median, and mode (bell-shaped). <br />It is the most studied distribution in statistics, <br />even though most data are not exactly normally <br />distributed, because of its value in theoretical <br />work and because many other distributions can be <br />transformed into the normal. It is also known as <br />Gaussian, The Laplacean, The Gauss-Laplace, or the <br />Laplace-Gauss distribution, or the Second Law of <br />Laplace. <br /> <br />Outliers (extreme events) are data points which <br />depart from the trend of the rest of data. <br /> <br />A characteristic descriptor, such as a mean or <br />standard deviation. <br /> <br />A probability multiplied by 100. <br /> <br />2-3 <br />