2 sample t test minitab software#

Calculation of the confidence interval for the mean in variables and attribute data.

Explanation of the role of control charts in capability analysis and explanation of why there is a difference between Cpk and Ppk.

Central limit theorem and sampling distribution of the mean.

Capability analysis – CPk/Ppk and percent out of specification.

Dealing with non-normal data – Box-Cox and Johnson transformation, distribution fitting using Weibull, Smallest Extreme Value, Largest Extreme Value, etc.

The normal distribution – testing for normality – Anderson Darling and Ryan Joiner tests.

Graphical methods – box-and-whisker plots, scatter plots.

Construction of a histogram and explanation of the meaning of frequency distributions, cumulative frequency distributions, measures of dispersion and central tendency.

Types of data – continuous (variables) and discrete (attributes) data.

Description of statistical terms including population, parameter, random sample, expected value.

Explanation of how statistics are used to obtain valuable information on processes from sample data.

Outline of the applications of statistics such as Statistical Process Control, Design of Experiments, Sampling, and the relationship with the underlying statistics.

Where the course is presented In-Company the programme can be modified to include specific statistical applications.

Delegates will be trained to use both the main menus and the Assistant in Minitab to undertake the analysis that will be met in the Programme set out below.

2 sample t test minitab software#

Minitab software will be used throughout the training course. There are several brands of reasonably priced computer statistical software packages available to assist in the application of statistics, and most people with a reasonable background in maths (example, pass leaving certificate level) can be readily trained to use this software so as to utilise data for continual process improvement, and better decision making. This course is intended to provide that essential understanding so that people will choose the appropriate statistical tools for data analysis and understand the outcome of the analysis. Many people who use statistical tools such as Statistical Process Control, Design of Experiments, sampling standards, gauge R&R, and other applications don’t understand the underlying statistics. It is not possible to get value from this data without using statistics. Much time and effort is devoted to the collection of data in industry, for example quality control measurements, data collected for validation of manufacturing processes, incoming and outgoing inspection data, data produced in the development of products in R&D, etc. IT IS NOT POSSIBLE TO UTILISE SAMPLE DATA WITHOUT STATISTICS. The tutors are available to explain the difference between these options and to discuss special programmes to meet specific customer requirements. These alternative brochures are available on request. Regression Analysis and Stability), which includes Regression Analysis, Stability Studies, and Power of the Test. Gauge R&R and Sampling), which includes Gauge R&R and Acceptance Sampling, and Statistics with Minitab (Incl. There are two alternative versions Statistics with Minitab (Incl. Note: This course includes Capability Analysis, Control Charts and Hypothesis Testing.