Minitab Essentials Bootcamp
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Training TypeLive Training
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CategoryProject Management (PMP)
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Duration9 Hours
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Rating4.8/5
Minitab Training Course Introduction
About Minitab Training Course
Minitab is one of the most popular and widely used statistical software’s in today’s corporate world . This tool was essentially designed for the Six Sigma projects. This is an effective tool to the level of analysis required Six Sigma projects. Our training in Minitab Essentials will help professionals working in the quality improvement processes of organizations to reduce the duration of data analysis.
Minitab Training Course Objective
Detailed overview of the tools used in Minitab using industry examples.
Who is the Minitab Training Course Target Audience?
Professional looking forward to learn data analysis using Minitab
Analysts
Quality System Managers
Quality Engineers
Quality Supervisors
Quality Auditors
What Basic Knowledge Required to Learn Minitab Training?
Understanding of six sigma basic tools, data
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Introduction to Minitab
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Overview and Imp of Minitab
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Worksheet Format and Structure
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Data Windows Conventions
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Menu Bar Overview
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Interoperability in Minitab
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Transferring data from MS Excel to Minitab
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Transfer Data from Excel to Minitab Demo
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Exporting Analysis data from Minitab to Word and PPT
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Export Analysis Data from Minitab to PPT and Word Demo
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Exporting data from Session Window to Word and PPT
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Exporting data Session Window to Word and PPT Demo
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Lean Six Sigma Green Belt case study
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Generate Bar Chart in Minitab
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Generating Bar Chart Demo
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Using Pie Chart
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Pie Chart Demo
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Computing Pareto Chart
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Pareto Chart Demo
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Defining Normality Test
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Normality Test Demo
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Preparing Run Chart
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Run Chart Demo
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Creating Histogram
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Histogram Demo
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Creating Box Plot
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Generate Box Plot Demo
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Categorizing Measuring CT and Spread
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Measuring Central Tendency and Spread Demo
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Examine Sample Size Determination
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Sample Size Determination Demo
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Use Control Charts for Continuous Data
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Control Charts for Continuous Data Demo
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Case Study on Lean SS Green Belt
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Sorting Data
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Sorting Data Demo
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Project Duration
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Using Calculator
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Apply Formulas to Columns
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Applying Formulas to Columns Demo
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Changing Data Types
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Changing Data Type Demo
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Process Capability Indices
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Process Capability Indices Demo
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Dot Plot
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Dot Plot Demo
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Individual Value Plot
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Individual Value Plot Demo
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Interval Plot
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Interval Plot Demo
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Scatter Plot
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Scatter Plot Demo
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Calculate Z Value
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Calculate Z Value Demo
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Identify Distribution
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Identify Distribution Demo
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Transform data to Normal distribution
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Transform data to Normal distribution Demo
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Control Charts for Discrete Data
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Control Charts for Discrete Data Demo
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Gage R and R Analysis and Attribute R and R Analysis
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Measurement System Analysis
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Gage Repeatability and Reproducibility Analysis Method
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Gage Repeatability and Reproducibility Analysis Method Demo
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Attribute Repeatability and Reproducibility Analysis Method
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Attribute Repeatability and Reproducibility Analysis Method Demo
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Generate CCA in Minitab
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Interpret Correlation Coefficient Analysis
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Interpreting Correlation Coefficient Analysis Demo
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Conclusion
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Use of Contour Graph
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Create Contour Graph Demo
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Hypothesis Test for Normally Distributed Data
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2 Sample t Test Demo
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Hypothesis 1 Sample t-Test
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1 Sample t Test Demo
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Hypothesis-Paired t-Test
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Paired t Test Demo
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Regression Analysis in Minitab
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Simple Linear Regression
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Simple Linear Regression in Minitab Demo
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Conclusion
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Multiple Regression
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Multiple Regression in Minitab Demo
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Conclusion
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Hypothesis Tests for Non-Normally Distributed Data
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Non Parametric Tests
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1 Sample Sign test in Minitab Demo
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Hypothesis-2 Sample Mann Whitney U Test
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2 Sample Mann Whitney U Test in Minitab Demo
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Hypothesis-Kruskal Wallis Test
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Kruskal Wallis Test in Minitab Demo
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Analysis of Variance
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Analysis of Variance
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Test of Normality Demo
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Analyze the next assumption
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Test of Equal Variances Demo
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One-way ANOVA test Demo
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Conclusion
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Main Effects Plot
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Main Effects Plot Demo
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Interaction Plot
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Interaction Plot Demo
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Conclusion
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Chi Square Test for Association
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Chi-Square Testing
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Chi Square Test of Independence using Minitab Demo
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Design of Experiments
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Factorial Design in Minitab Demo
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Conclusion
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Common Pitfalls while Analyzing Data
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Common Pitfalls in Data Analysis
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To register for The Minitab Expert Certification online Exam from the Advanced Innovation Group Pro Excellence (AIGPE), the candidate must have completed the following levels of AIGPE’s training to 100%:
- Minitab Beginner
- Minitab Proficient
- Minitab Expert
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Being a statistical and data analysis tool designed for Quality experts, Minitab offers many advantages to those who train in it and use it:
- It helps them use and interpret statistical data for business operations
- They are able to manipulate data, identify the trends and patterns in them, and then use them to solve real world business challenges
- It complements Six Sigma and helps to extract more sense out of it
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Minitab being a formally structured, proper data analysis software tool, it requires formal training on the part of anyone who wants to use it. Unlike a creative practice such as say, writing or acting, this is a package which requires keen understanding of the tool, processes and methodologies that go into it, if a professional wants to know how to leverage and optimize it.
This is something only proper training will help achieve. In the absence of this training, it may not be impossible, but is certainly difficult for a user of Minitab to achieve excellence in it.
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The Advanced Innovation Group Pro Excellence (AIGPE), an authorized training partner of the Project Management Institute (PMI), is the most popular institute offering the Minitab Certification Examination. Training for this examination, however, is offered by a number of players in the Massive Open Online Courses (MOOC) space.
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There is no globally fixed schedule or date for the Minitab Certification Examination. The respective institute schedules the Minitab Certification Examination. There are requirements relating to retaking of exam, exam schedule, and other factors.
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Trained and certified Minitab professionals are hired in most service-oriented industries. These include, but are not restricted to:
- Manufacturing
- Finance
- Education
- Retail
- Healthcare
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Minitab Beginner, Proficient, and Expert Training Course(s) are the three levels of Minitab training. A candidate who passes the first two of these levels will be eligible to qualify for the Minitab Expert Certification from the AIGPE.
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Minitab training acquires extremely high importance because its contents cannot be properly understood and executed without the right knowledge, something that Minitab training alone provides.
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Quality professionals who are trained in the Minitab software are able to derive several uses out of it:
- They will be able to derive insights into statistical data, which Minitab helps to use to optimize business operations
- Minitab gives them the skill needed for understanding and manipulating data and look for patterns and trends that they contain. This grasp helps them identify and solve real world business problems.
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Learning Minitab starts at the beginner level. They can start at the beginner level certification from a recognized certifying institute. They can get trained for this certification from a training platform.
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There are no prerequisites for learning Minitab.
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It is not necessary or mandatory to have a formal degree in statistics or mathematics to make sense of the Minitab training course. But yes, it is important to have a strong aptitude in these subjects, because Minitab is built on these. A person who has no interest in mathematics or statistics will be very uncomfortable at this course.
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It is different in a number of ways:
- It is taught by industry experts
- You can take it up at your convenience
- The teaching is most updated, most relevant and engaging
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The core objective of the two-day Minitab Essentials that Minitab organizes, is to help learners get a grip of how to use Minitab more efficiently and make use of its features in an optimal manner. Professionals will learn ways to reduce time in analyzing data with Minitab.
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By taking up the Minitab Essentials training, learners will be in a better position to carry out Minitab’s functions. They can be nimbler in importing data, in creating graphs that are visually stunning, yet insightful, and adapt objective statistical approaches towards data to help solve tough business-related challenges.
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For those who are well grounded in statistics, Minitab is not at all difficult. It is even easier for those who have an additional exposure to Microsoft Excel.
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At its core, Minitab can be described as a software package for data analysis. It is a tool that facilitates statistical and process improvement.
It completed 50 years of existence in 2022.
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We have known the crucial importance of data for organizations. In fact, data is being touted as the new oil. With the explosion of the social media, the proliferation and the uses of data have gone up multifold. This can only mean more demand for data analysis professionals. The data analyst’s is a role that is projected to be among the most sought-after in the coming years.
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Six Sigma and Minitab blend into each other extremely well. The best indicator of the closeness of these two is the fact that Minitab has created and assigned an entire package, the Minitab Engage, exclusively for Six Sigma implementation.
Minitab is wonderfully suited for nearly all of Six Sigma’s principles, such as DMAIC. It drastically raises the level and quality of analysis for Six Sigma projects.
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In one simple term, Minitab is used for data analysis.
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Yes, organizations that use Minitab have to pay for the subscription license. However, some of Minitab’s accessories, such as software installation and training, support and services, and other allied features, are free and are part of the subscription. In other words, the subscription fee covers all these items.
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Well, it depends, based on what your uses are. We have to understand the core difference between the two to answer this question.
While MS Excel is a spreadsheet program, Minitab is a statistical software program. The only major commonality between the two is that they are both data-related programs. So, whether you want to use Minitab or Excel depends on what use you want to derive from data.
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While both Minitab and Tableau are data visualization tools, their features and uses make them quite distinct from each other.
Using Tableau, users can use data extensively for their analytics. Minitab is both a Data Analytics and statistics package with which businesses can analyze, interpret, and predict outcomes by discerning trends and patterns present in the data.
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This again depends on the user’s needs. If you are looking for a statistical data analysis software package for instructional application, Minitab serves your purpose.
If your use is for predictive analysis, collaboration and data mining, SPSS is a better option. SPSS is more powerful and more complex, whereas Minitab is easier to use and comes with excellent support and library.
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Excel is built to aid in calculations, making it a very handy package for finance professionals. Most of its features are built around numbers and calculations for areas such as sales. It is not designed as a business forecasting statistics tool, which is the core of Minitab. With Minitab, analysts can arrive at trends and patterns easily, something that MS Excel does not offer.
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A large number of companies around the world, across the retail, manufacturing, healthcare, services, energy, software and education, and related industries, use Minitab. Nine out of the Fortune 100 companies use Minitab.
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No. Minitab Inc. is an independent company headquartered in State College, Pennsylvania.
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Data from an Excel file can be loaded into Minitab. It can be done by following these steps:
Open Minitab, then using the Minitab menus at the top of the application, select the option:
- Go to File > Open Worksheet.
- Select Excel field by clicking the drop down arrow in the ‘Files of Type’
- To locate the saved Excel data file, use the drop down arrow in the ‘Look In’ field.
- When you double click the file, the data opens in the Minitab worksheet
Using the data in the Minitab worksheet, the required procedures and actions can be performed.
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Minitab is written in Fortran.
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Minitab has a Data Science/Machine Learning platform, which gels with its core functionality to offer a more comprehensive approach to Data Analytics. In this sense, yes, Minitab is a Data Science tool too.
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The market has a few well-known statistical software packages that one can consider as alternatives to Minitab. These are some of them:
- SPSS
- Tableau
- Posit
- JMP
- OriginPro