![]() ![]() Academic and quantity discounts are available. There is no charge for technical support. Compatible with PC (Excel 2013-2021 and Office 365) and MAC (Excel 2019, 2021, and Office 365) QI Macros. ![]() QI Macros is a single-user, perpetual license with no annual fees. QI Macros for Excel: one software license download. We have more than 100,000 users at 2,500+ hospitals and thousands of manufacturing companies world-wide. QI Macros is compatible with PC and Mac, Excel 2013 to 2021 and Office 365. Mistake-proof your six-sigma data and statistical analysis using this powerful tool. The Statistical Wizard selects and runs the right statistical tests and even interprets the results for you (e.g., reject or accept the null hypothesis, mean / variances are the same or different). The Improvement Project Wizard combines the power of the Pivot Table and Control Chart Wizards and automatically creates control charts and pareto charts from a data spreadsheet with one click. The Pivot Table Wizard analyzes your data and creates a pivot table for you. The Control Chart Wizard selects and runs the right control chart for you. QI Macros Wizards contain functionality not included in any other six sigma or statistical process control software. QI Macros will clean up nonnumeric data, fix any misalignments and use your data as you selected it. Your data can be connected or separated or in rows or columns. ![]() This Excel add-in will deliver immediate results in business environments using Grab-It-And-Go Simplicity and mistake-proof selection of data. Read What Others Say CNET & Industry Leaders. It performs statistical analysis tests including ANOVA, t-test, F-test, and regression analysis. It contains more than 100 fill-in-the-blank templates such as an automated fishbone diagram, value stream map, QFD, DOE, FMEA, PPAP forms and MSA Gage R&R. It draws Pareto charts, histograms with Cp Cpk, box whisker plots, scatter, and control charts. QI Macros SPC Software for Excel is an affordable, easy-to-use Excel add-in for all your data analysis needs. ![]()
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