| APPLET | SOURCE | DESCRIPTION |
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| Plot of a Time Series | A Collection of JavaScript E-labs Learning Objects (Arsham) | Plots a series of up to 144 observations, which are first standardized. more |
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| Time Series Statistics | A Collection of JavaScript E-labs Learning Objects (Arsham) | For series with up to 80 observations, calculates mean and variance for entire series, first half and second half, as well as one lag apart, two lag apart, first partial and second partial autocorrelation. more |
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| Test for Random Fluctuations | A Collection of JavaScript E-labs Learning Objects (Arsham) | For series with up to 80 observations, calculates test statistic and p-value and gives conclusions about evidence for randomness of fluctuations. more |
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| Autoregressive Time Series Modeling | A Collection of JavaScript E-labs Learning Objects (Arsham) | For series with up to 84 observations, calculates mean, variance, autocorrelation and parameters, tests for stationarity, and does white noise analyses. more |
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| Detecting (Detective Testing for) Trend & Autocrrelation | A Collection of JavaScript E-labs Learning Objects (Arsham) | For series with up to 80 observations, calculates Runs and Durbin Watson statistic and gives conclusions for presence of trend and autocorrelation. more |
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