Statistical

A Microsoft Excel add-in that provides users with fast access to a variety of tools, including histograms, charts, and a wide range of templates.

SAS JMP is the data analysis tool of choice for hundreds of thousands of scientists, engineers and other data explorers worldwide. As the pro version of JMP statistical discovery software, JMP Pro goes to the next level by offering all the capabilities of JMP plus advanced features for more sophisticated analysis, including predictive modeling and cross-validation techniques. Users can harness the power and speed of the supercomputer on their desk to explore and understand data in an easy-to-use interface.

SAS JMP is the data analysis tool of choice for hundreds of thousands of scientists, engineers and other data explorers worldwide. As the pro version of JMP statistical discovery software, JMP Pro goes to the next level by offering all the capabilities of JMP plus advanced features for more sophisticated analysis, including predictive modeling and cross-validation techniques. Users can harness the power and speed of the supercomputer on their desk to explore and understand data in an easy-to-use interface.

SYSTAT is a general purpose statistical software package. Compared with some other statistical package, it is very easy to use and highly integrated.

MVSP is an intuitive and flexible data analysis program. Version 3 brings new levels of ease of use and power to multivariate analyses, such as correspondence analysis and clustering.WordStat is a text analysis module designed to analyze and categorize textual information.SIMSTAT is an easy-to-use and powerful statistical program that performs a wide variety of statistical analyses. Its innovative output management and scripting language lets you automate statistical analysis and write interactive tutorials.Accent Composer simplifies the process of entering accented characters and other symbols into any Windows program.

SAS JMP is the data analysis tool of choice for hundreds of thousands of scientists, engineers and other data explorers worldwide. As the pro version of JMP statistical discovery software, JMP Pro goes to the next level by offering all the capabilities of JMP plus advanced features for more sophisticated analysis, including predictive modeling and cross-validation techniques. Users can harness the power and speed of the supercomputer on their desk to explore and understand data in an easy-to-use interface.

SAS JMP is the data analysis tool of choice for hundreds of thousands of scientists, engineers and other data explorers worldwide. As the pro version of JMP statistical discovery software, JMP Pro goes to the next level by offering all the capabilities of JMP plus advanced features for more sophisticated analysis, including predictive modeling and cross-validation techniques. Users can harness the power and speed of the supercomputer on their desk to explore and understand data in an easy-to-use interface.

SAS JMP is the data analysis tool of choice for hundreds of thousands of scientists, engineers and other data explorers worldwide. As the pro version of JMP statistical discovery software, JMP Pro goes to the next level by offering all the capabilities of JMP plus advanced features for more sophisticated analysis, including predictive modeling and cross-validation techniques. Users can harness the power and speed of the supercomputer on their desk to explore and understand data in an easy-to-use interface.

Uncompromising quality, insight and excellence through business intelligence and data analytics. That’s the Statgraphics value proposition. It speaks to the current business environment that demands reliance on the data sciences to progress. Our intuitive interface is unparalleled in power and sophistication, matched with simplicity of use. With Statgraphics 19, you will effortlessly develop protocols necessary to achieve successful outcomes. It gives you the statistical tools to pursue excellence, gain understanding and accomplish important business goals.

A statistical test's power is the probability that the test procedure will result in statistical significance. Power is related to the sample size, the size of the type I (alpha) error, the actual size of the effect, and the size of experimental error. All of these must be considered in order to calculate statistical power.
As statistical significance is usually the desired outcome, planning and running a study to achieve a high power is of prime importance to the researcher. Because of the complexity of the calculations, the determination of the power is often ignored or only a casual attempt is made at its calculation by adopting some, so-called, "rule-of-thumb."
PASS performs power analysis and calculates sample sizes. Use it before you begin a study to calculate an appropriate sample size (it meets the requirements of government agencies that demand technical justification of the sample size you have used). Use it after a study to determine if your sample size was large enough.