A New Statistics and Forecasting Toolset for your Spreadsheet Have you ever needed forecasting, regression, quality control charts, or other statistical analyses beyond the basics that are provided with Excel? Have you ever doubted the accuracy of some of Excel’s statistical results? StatTools addresses both of these issues, providing a new, powerful statistics toolset to Excel.

Brockwell and Davis: An Introduction to Times Series and Forecasting. Christensen: Log-Linear Models and Logistic Regression, Second Edition. QA278.2.R38 1998. 519.5 36—dc21. Printed on acid-free paper. Printed on acid-free paper. Versatility of modern time series analysis as a tool for analyzing data, and still. Course can be accessible to students with a background in regression. Edition is that we provide R code for almost all of the numerical examples. 6.5 Structural Models: Signal Extraction and Forecasting.

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StatTools covers the most commonly used statistical procedures, and offers unprecedented capabilities for adding new, custom analyses. StatTools replaces Excel’s built-in statistics functions with its own calculations. The accuracy of Excel’s built-in statistics calculations has often been questioned, so StatTools doesn’t use them. All StatTools functions are true Excel functions, and behave exactly as native Excel functions do. Over 30 wide-ranging statistical procedures plus 9 built-in data utilities include forecasts, time series, descriptive statistics, normality tests, group comparisons, correlation, regression analysis, quality control, nonparametric tests, and more.

Alex Lebedev Lebedev Consulting Pretoria, South Africa StatTools features live, 'hot-linked' statistics calculations. Change a value in your dataset and your statistics report automatically updates. There is no need to manually re-run your analyses. StatTools has also been fully translated into,,,,,,. New in Version 7.5 – New & Improved Analyses » StatTools 7.5 improves upon already-powerful Box-Whisker plots, regression, and confidence intervals, while adding a new chi-square goodness-of-fit test. » Improved Box-Whisker Plots Choose between horizontal and vertical plots, and control how to view outliers. New Chi-Square Goodness-of-Fit Test This new test checks if the frequency distribution of a categorical variable of your sample fits a specified pattern and is consistent with a hypothesized distribution.

Improved Handling of Outliers in Regressions Identify your outliers in data and graphs to better examine them. Upgraded Confidence Intervals and Hypothesis Tests Confidence intervals and hypothesis tests for mean and standard deviation can be implemented using a known population standard deviation or summary statistics as the input. See StatTools forecast in Excel. Click image to view larger graphic. How StatTools Works First, you define your data in StatTools.

Then, you perform any of over 30 different types of analysis on your data set, depending on your situation. StatTools provides a comprehensive and intuitive data set and variable manager right in Excel. You can define any number of data sets, each with the variables you want to analyze, directly from your data in Excel. StatTools intelligently assesses your blocks of data, suggesting variable names and locations for you. Your data sets and variables can reside in different workbooks, allowing you to organize your data as you see fit. Run statistical analyses that refer to your variables, instead of re-selecting your data over and over again in Excel.

StatTools fully supports the expanded worksheet size in Excel 2007-2010. Plus, you can define variables that span multiple worksheets. Once your data sets have been defined, choose a procedure from the StatTools menu or write your own, custom procedure. To write your own, StatTools includes a complete, object-oriented, programming interface—the Excel Developer Kit (XDK). Custom statistical procedures may be added using Excel's built-in VBA programming language, which allows you to utilize StatTools's built-in data management, charting and reporting tools. See StatTools Data Set Manager. Click image to view larger graphic.

StatTools Analyses The statistical procedures available in StatTools come in the following natural groups. Statistical Inference: This group performs the most common statistical inference procedures of confidence intervals and hypothesis tests. Forecasting: StatTools gives you several methods for forecasting a time series variable. You can also deseasonalize the data first, using the ratio-to-moving-averages method and a multiplicative seasonality model. Then use a forecasting method to forecast your deseasonalized data, and finally “reseasonalize” the forecasts to return to original units.

The outputs include a set of new columns to show the various calculations (for example, the smoothed levels and trends for Holt’s method, the seasonal factors from the ratio-to-moving-averages method, and so on), the forecasts, and the forecast errors. Summary measures such as MAE, RMSE and MAPE are also included for tracking the fit of the model to the observed data. Finally, several time series plots are available, including a plot of the original series, a plot of the series with forecasts superimposed, and a plot of the forecast errors. In cases using deseasonalized data, these plots are available for the original and deseasonalized series. Classification Analysis: StatTools provides both discriminant analysis and logistic regression. Discriminant analysis predicts which of several groups a variable will fall in, and logistic regression is a nonlinear type of regression analysis where the response variable is 0 or 1 for “failure” or “success.” You can then estimate the probability of success. Data Management: This group allows you to manipulate your data set in various ways, either by rearranging the data or by creating new variables.