This tool might be used to forecast sales, inventory, or other trends. A moving average provides trend information that a simple average of all historical data would mask.
The Fourier Analysis tool solves problems in linear systems and analyzes periodic data by using the Fast Fourier Transform (FFT) method to transform data.The F-Test Two-Sample for Variances analysis tool performs a two-sample F-test to compare two population variances.It uses the smoothing constant a, the magnitude of which determines how strongly the forecasts respond to errors in the prior forecast.
Exponential Smoothing predicts a value that is based on the forecast for the prior period, adjusted for the error in that prior forecast.The Descriptive Statistics tool generates a report of univariate statistics for data in the input range, providing information about the central tendency and variability of the data.The Covariance tool can be used in the same setting as Correlation when you have N different measurement variables observed on a set of individuals, and like Correlation, it will give you an output table (matrix) that illustrates the covariance between the two variables.This tool examines a pair or measurement variables and determines whether they tend to move together, or correlate.
The Correlation worksheet calculates the correlation coefficient between two measurement variables when measurements on each variable are observed for each of N subjects.Anova is used to see if there is any difference between groups of some variable. The Anovaanalysis tools (single factor, two-factor with replication, two-factor without replication) provide different types of variance analysis.
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