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Want this course at another location or on a different date? Let us know your course needs.On-site Pricing
Course fee and EPTO/APTO units differ for on-site training.Business Statistics and Data Analysis for Performance Excellence
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Duration: 3.0 days CEUs: 1.8 | ||
| (This course is not currently scheduled.) |
Areas of focus are analysis of data for business and transactional applications including statistics, distribution analysis, JMP basics, capability assessment, comparison tests, sample size selection, hypothesis testing, confidence intervals and multiple factor modeling.
Learn how to
- use data to solve business and transactional problems
- select appropriate analysis technique based on type of data
- understand the ideas associated with sampling and data collection
- demonstrate the ability to evaluate distributions
- select appropriate sample sizes for performance evaluation
- conduct comparative tests using data
- use regression techniques in order to analyze data and make business process improvements
- apply JMP to data analysis problems.
Who should attend
Six Sigma professionals, managers, and business and marketing analysts who routinely analyze and interpret data about their industry, market, competition, and customers, as well as their own business performance
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Prerequisites
There are no formal prerequisites for this course.
Course Contents
Introduction to JMP
- column and row commands
- subset, recoding and formulas
- saving scripts, journals and projects
- measures of center and spread
- standard error and the central limit theorem
- normal distribution
- process capability(normal)
- nonnormal distribution fitting and process capability
- trend analysis
- sample size for the mean
- one-sample t-test
- two-sample t-test
- one-way ANOVA
- customer satisfaction and nonparametric data analysis
- simple linear regression, correlation
- test for proportion data
- contingency analysis for proportion data
- pareto graphs and analysis
- logistic regression
- n-way ANOVA
- multiple regression and mixed models
- recursive partitioning or data mining
Software
This course addresses JMP.
Course Materials
Students receive a hardcopy of the course notes and, in some courses, can choose to take home a copy of the course data.
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Available for on-site training or can be scheduled at any SAS training facility
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