Funktionalitet

Kraftfull statistik och grafer är bara början…

Hela listan med ny och förbättrad funktionalitet hittar du här.

Kort uppstartssträcka.

Minitab 17 ger dig självförtroendet som du behöver för att förbättra kvaliteten. Med funktionaliteter som en interaktiv Assistent som guidar dig genom analyserna. Assistenten är framtagen och utvecklad för att hjälpa dig vid varje steg av din analys.

Ibland kan den största utmaningen vara att veta var och hur man ska börja. Minitabs Assistent raderar all tvivel genom att hjälpa dig med beslutet om vilken statistiska analysmetod du ska välja.

När du väl valt verktyg, så identifierar Assistenten alla steg som ska tas för att säkerställa att resultaten i din analys är exakta och pålitliga.

 

Simple Data Import
It’s easy to import your data from Excel and databases, so you can get right down to analyzing it.

Explore your data.
Use a comprehensive set of powerful statistics to investigate your data.

Basic Statistics
Access a complete set of statistical tools, including Descriptive Statistics, Hypothesis Tests, Confidence Intervals and Normality Tests.

Regression and ANOVA
Uncover the relationships between variables and identify important factors affecting the quality of your products and services.

Quality Tools
Determine if your measurement systems are adequate, assess how well your processes meet specification limits, create sampling plans, and more.

 

 

 

 

 

Design of Experiments
Find the settings that optimize your processes using Factorial, Response Surface, Mixture and Taguchi designs.

 

 

 

 

 

Control Charts

Monitor your processes over time and evaluate their stability.

 

Reliability and Survival
Determine a product’s lifetime characteristics using a wide range of tools including Distribution Analysis and Accelerated Life Testing.

Easily review the results of your analysis with Minitab’s striking and informative graphs.

Trust your decisions.
Minitab’s Assistant helps you confidently respond to your analysis by providing clear reports that help you understand your results and their significance

Dig deeper into your data
Minitab graphs are powerful tools for investigating your process further and removing any doubt about the steps you should take to improve it.

Automatically update your graphs and control charts when you add or edit data.

Select and examine points of interest, then use them to create alternate datasets and graphs.

Share your results.
Presentation-ready summaries

Sharing your findings with colleagues is easy. Minitab’s Assistant automatically produces a comprehensive, straightforward summary of your analysis that includes relevant graphs and output, and how to interpret them.
Graphs that communicate your success

Minitab’s rich graphs are the building blocks of an engaging and professional presentation. They are simple to edit, and you can export them directly to MSWord and PowerPoint.

• The Assistant now includes design of experiments (DOE) and multiple regression. Like all Assistant features, these new tools lead you through your entire analysis and help you interpret and present your results. The Assistant also offers improved Graphical Analysis.

• New regression, binary logistic regression and general linear model (GLM) menus offer easier model specification, automatic model selection to instantly identify significant factors, response optimizer, and more.

• DOE improvements include automatic model selection for factorial and response surface designs, response optimizer for general factorial designs, and categorical variables for response surface designs.

• Stability studies to analyze the stability of a pharmaceutical product over time and determine the shelf life (e.g. Y=drug concentration, X=time).

Stability studies are primarily used by the pharmaceutical industry.

• Equivalence tests to determine if mean(s) are similar enough to be considered equivalent; to determine that there is no practical difference.

Equivalence tests are primarily used by pharmaceutical, medical device, food industry and consumer products, although these tests are technically applicable across industries.

• Poisson Regression to model count data, such as the number of machine failures.

• Outlier tests, including Grubbs’ and Dixon’s tests, to identify an outlier in a dataset.

• Bubble plots for graphing 3 (or more) variables in a 2-dimensional space. Plot Y versus X with bubble size to represent a third variable.

• Newly styled graphics to make your presentations look even better.