Online Exam Preparation eLearning - Training Resources

Pharmacy Technician National Certification Exam Preparation Course Would you like to become a Nationally Certified Pharmacy Technician (CPhT)? Take your career to the next level and get this credential. Many Pharmacy Technicians who become certified receive financial compensation and several states are even requiring Certification for employment. Keep your employment opportunities open and make the most of your career by becoming Certified. The Pharmacy  more...

Tools for Planning and Managing Six Sigma Project Opportunities In many situations your results are only as good as the tools you use. Knowing which tools to use, and how to apply them effectively, is the key to any endeavor's success. This assertion holds true for process and quality improvement strategies, and Six Sigma and quality improvement teams throughout the world use a set of management and planning tools to analyze and understand a variety of issues.  more...

Using Six Sigma Analysis Tools and Metrics for Project Decisions Six Sigma is a business improvement methodology that begins by comparing the current state of a company's products and processes to their desired levels. The goal of the Define phase in the Six Sigma DMAIC methodology is to identify improvement opportunities that have the maximum potential for return on time, money, and resource investments. Knowing what projects to select for improvement requires  more...

Modeling and Analyzing Processes in Six Sigma "If you can't describe what you are doing as a process, you don't know what you are doing," says W. Edwards Deming, a well-known American quality advocate, statistician, and educator. During the Measure stage of the Six Sigma methodology, you need to identify and map processes and procedures for problem areas identified during the Define stage, and present them to the Six Sigma team for a closer  more...

Statistics and Probability in Six Sigma Six Sigma bases its analysis and findings on the facts and figures at hand. Statistical studies and probability are the key tools that Six Sigma teams use to measure and analyze issues that are identified in the early stages of Six Sigma projects. This course explores basic statistical concepts that apply to Six Sigma. It distinguishes between enumerative and analytical statistics and population  more...

Data Classification and Collection in Six Sigma "Measure what is measurable, and make measurable what is not so" said Galileo Galilei, the famous Italian physicist, mathematician, astronomer, and philosopher. Measuring the key characteristics in your current processes is a very significant step in any Six Sigma improvement journey. As such, sample data from existing processes needs to be identified, collected, presented, and analyzed.  more...

Summarizing and Presenting Data in Six Sigma Six Sigma teams use measures of central tendency and dispersion to reveal key facts about process data and the existing processes. They summarize data and put forth the relationships between various data components for further analysis. The teams then present these relationships in easy-to-understand graphical forms that facilitate comparison and help to identify possible trends. This course deals  more...

Probability Distributions and Measurement Systems Analysis in Six Sigma Probability distributions are an essential part of descriptive statistics that Six Sigma teams can use to assist in fitting collected data into various types of distributions. Probability distributions help to ascertain specific probability values in the distribution and lead the Six Sigma teams down the hypothesis testing roadmap to the next stage of the Six Sigma DMAIC process. Of course, all  more...

Measuring Process Capability and Performance in Six Sigma Businesses exist to meet the needs of the customers they serve. As such, you must listen to the voice of your customers and build processes that deliver products and services to them. It is also necessary to review processes to ensure they remain within the targets and specifications set by your customers. Measuring the capability and performance of a process is an important activity in Six Sigma  more...

Six Sigma and Lean in the Organization Six Sigma is a highly disciplined, data-driven improvement program that helps companies focus on eliminating defects in any process and delivering near-perfect products and services. Six Sigma has been globally accepted as a profitable and winning business strategy. More and more companies are embracing Six Sigma in a time when competition and sluggish markets have left operational efficiency and  more...

Design for Six Sigma in the Organization Design for Six Sigma (DFSS) is often called the future of Six Sigma, as it is emerging as a strategy that better serves the current innovation initiatives of many industries. DFSS uses a "pay me now or pay me later" approach by spending more effort and time on process or product design up front to avoid spending time and effort in those areas later. Whereas Six Sigma just focuses on improving  more...

Processes and Customer Analysis in Six Sigma Projects A process is a means of creating and delivering products and services needed by customers. According to Takashi Osada, Japanese author and quality pioneer, "if the process is right, the results will take care of themselves." By Six Sigma standards, a "right process" is one that creates and delivers precisely what the customer needs. By this logic, no Six Sigma effort can start without having a  more...

Hypothesis Tests for Variances Proportions ANOVA and Chi-Square in Six Sigma The hypothesis test is one of the most important tools used in the Analyze stage of the Six Sigma DMAIC methodology. A hypothesis test helps to determine whether or not an observed relationship or difference truly exists between inputs and outputs identified in the earlier stages of the process. Six Sigma teams are interested in determining whether this relationship or difference is due to random  more...

Design of Experiments and Validation of Solutions in Six Sigma "We are, I think, in the right road of improvement, for we are making experiments," said Benjamin Franklin. In the Improve stage of the DMAIC process, Six Sigma teams design and conduct experiments to study the nature of relationships between input variables and the response variable(s). They do this by controlling and changing the input variables and observing the effects on the response  more...

Statistical Process Control and Control Plans in Six Sigma In the final stages of the Six Sigma DMAIC methodology, once process improvement opportunities are identified and implemented, you need to make sure that the improved processes are controlled to sustain the process improvement gains. Statistical process control (SPC) provides tools which can be used to ensure that the processes are continuously monitored, that results are evaluated through the use  more...

Exploratory Data Analysis in Six Sigma In the Analyze stage of the Six Sigma DMAIC process, you closely examine the output variable (known as y) and its possible causes or input variables (known as x's) collected in the Measure stage to get a deeper understanding of their relationships. The goal of this analysis is to narrow down the many possible x's identified earlier during the Measure stage, to a few probable ones. This analysis is  more...

Introduction to Hypothesis Testing and Testing for Means in Six Sigma The Analyze phase in Six Sigma closely examines the many process inputs identified in the Measure phase to determine if they are related to outputs, and if a relationship does exist, if it is statistically significant. An important tool for this analysis is hypothesis testing. Hypothesis testing uses statistical analysis to determine if the observed relationship between two or more samples is real  more...