


table-valued function to calculate one or many percentile values from a single dataset
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Estimate variance based on a sample, or use VAR to estimate the population variance from a sample of N elements with an unknown mean (the mean being calculated from the sample itself).
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Estimate variance based on a sample, or use VAR_S to estimate the population variance from a sample of N elements with an unknown mean (the mean being calculated from the sample itself).
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Calculate the predicted value for a dependent variable using the coeffiecients from a previously run mutlivariate exponential regression.
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the point at which a line will intersect the y-axis by using existing x-values and y-values
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Calculate the point at which a line will intersect the y-axis by using existing x-values and y-values.
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the Ordinary Least Squares (OLS) solution for a series of x-values and y-values including a tolerance parameter for collinearity
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Calculate the predicted value for a dependent variable using the coefficients from a previously run multivariate linear regression.
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Calculate the probability that Y = 1 given a set of coefficients from a logistic regression
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the Pearson product moment correlation coefficient through data points in known-y’s and known-x’s
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Return the Pearson product moment correlation coefficient through data points in known-y’s and known-x’s.
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slope of the linear regression through the data points in the known x-values and y-values
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Calculate the slope of the linear regression through the data points in the known x-values and y-values.
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Calculate a weighted least squares (WLS) solution for a series of x- and y-values and their associated weights.
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Calculate a weighted least squares (WLS) solution for a series of x- and y-values and their associated weights.
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Calculate the probability density function or the lower cumulative distribution function of the Cauchy distribution.
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Calculate the lower cumulative distribution function of the non-central chi-square distribution.
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Calculate the inverse of the lower cumulative distribution function of the non-central chi-square distribution.
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Calculate the inverse of the right-tailed probability of a chi-squared distribution.
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Calculate a value that you can use to construct a confidence interval for a population mean.
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Calculate a confidence interval when you don't know the population standard deviation and are using the sample standard deviation instead.
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Calculate the smallest value for the cumulative binomial distribution that is greater than or equal to a criterion value.
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Calculate the probability density function or the upper cumulative distribution function of the Exponential distribution.
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Calculate the inverse of the cumulative distribution function of the exponential distribution.
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Calculate an exponential distribution that is equivalent to the function used in EXCEL.
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Calculate the inverse of the cumulative distribution function of the geometric distribution.
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Calculate the inverse of the cumulative distribution function of the hypergeometric distribution.
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Compute the complementary cumulative probability P[Dn>= x] of the Kolmogorov-Smirnov distribution with sample size n at x.
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Compute the cumulative probability P[Dn>= x] of the Kolmogorov-Smirnov distribution with sample size n at x.
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Calculate the inverse of the Kolmogorov-Smirnov (KS) cumulative distribution function.
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Calculate the complementary Kolmogorov-Smirnov (KS) cumulative distribution function, Qks= 1 - Pks.
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Calculate the inverse of the complementary Kolmogorov-Smirnov (KS) cumulative distribution function, Qks= 1 - Pks.
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Calculate the probability density function or the lower cumulative distribution function of the Laplace distribution.
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Calculate the inverse of the lognormal cumulative distribution function of x where ln(x) is normally distributed within the parameters mean and standard deviation.
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Calculate the probability density function or the lower cumulative distribution function of the logistic distribution.
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Calculate the inverse lower cumulative distribution of the logistic distribution.
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Calculate the inverse of the lognormal distribution function of x, when ln(x) is normally distributed with parameters µ and s.
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Calculate the lognormal cumulative distribution function of x where ln(x) is normally distributed within the parameters mean and standard deviation.
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Calculate the lower cumulative distribution function of the non-central F distribution.
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Calculate the inverse of the lower cumulative distribution function of the non-central F distribution.
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Calculate the probability density function of the non-central chi square distribution.
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Calculate the lower cumulative distribution function of the non-central T distribution.
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Calculate the inverse of the lower cumulative distribution function of the non-central T distribution.
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Calculate the probability density function or the lower cumulative distribution function of the standard normal distribution in SQL Server.
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normalized value from a distribution for a specified mean and standard deviation
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Calculate the probability density function and the left-tailed cumulative probability distribution of Student's t-distribution.
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Calculate the two-tailed cumulative probability distribution of Student's t-distribution.
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Calculate the right-tailed cumulative probability distribution of Student's t-distribution.
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Calculate the probability for the Studentt-distribution where a numeric value (x) is a calculated value oftfor which the probability is to be computed.
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Calculate the probability density function or the lower cumulative distribution function of the uniform distribution.
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Calculate the inverse of the lower cumulative distribution of the uniform distribution.
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Calculate Cohen’s kappa () or weighted kappa as an index of inter-rater agreement between 2 raters.
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Calculate Cohen’s kappa () or weighted kappa as an index of inter-rater agreement between 2 raters.
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Calculate Fleiss’ kappa () as an index of inter-rater agreement betweenmraters on categorical data.
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Calculate Fleiss’ kappa () as an index of inter-rater agreement between m raters on categorical data.
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Calculate Kendall’s tau (t), a non-parametric measure of association based on the number of concordances and discordances in paired observations.
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Calculate Kendall’s tau (t), a non-parametric measure of association based on the number of concordances and discordances in paired observations.
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Calculate Kendall’s coefficient of concordance (w) as an index of inter-rater reliability for ordinal data.
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Calculate Kendall’s coefficient of concordance (w) as an index of inter-rater reliability for ordinal data.
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Perform McNemar’s chi-squared test for symmetry of rows and columns in a two-dimensional contingency table.
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Perform McNemar’s chi-squared test for symmetry of rows and columns in a two-dimensional contingency table.
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Calculate the Pearson chi-square test for independence on data in third-normal form.
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Calculate the Pearson chi-square test for independence on data in third-normal form.
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Calculate the Pearson chi-square test for independence on data in third-normal form.
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Calculate the Pearson chi-square test for independence on data in third-normal form.
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Perform the two-sample Kolmogorov-Smirnov test to compare the distributions of the values in two samples.
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Perform the two-sample Kolmogorov-Smirnov test to compare the distributions of the values in two samples.
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