
Explore the basics of Minitab, manipulate data, rank, sort, and recode, and learn to explore data tables using built-in sample data without extra downloads.
Explore the basics of Minitab, including the main window, menu bar, tool bar, session window and data window, and how worksheets organize variables, observations, and data entry.
Analyze each student's rows by calculating means, medians, and weighted averages using row statistics and calculator in Minitab, then round results as needed.
Learn to manage worksheet columns in Minitab, compute column means like Test1, store results as constants, and use session commands and display options to view outputs.
Learn to recode numerical data to text in Minitab by creating a Grade column from C10 scores and mapping 90 to 100 to A, 80 to 89 to B.
Rank and sort data in Minitab using the rank and sort commands to order students by rounded weighted mean scores, handling ties by averaging ranks.
Standardize data by centering on the mean and dividing by the standard deviation to enable cross-test comparisons. Use Calc > Standardize to select scores, store results, and interpret trends.
Create a subset worksheet in Minitab by filtering for grade F, using the condition 'Grade equals F' with quotes, producing a sheet with C1–C15 for the three F students.
Stack test scores from Test1, Test2, and Test3 into a single column with subscripts using Minitab's stack option, then compute the overall mean via column statistics.
Use unstack columns to create columns C18–C22 labeled A, B, C, D, and F from C10, mapping 90–100 to A and 80–89 to B, with 16 A–C and 8 D–F.
Master the foundation of statistics with Minitab through screen-based explanations, detailed outputs, and practical exercises, as you split-screen study slides, use subtitles, and complete quick quizzes.
Explore statistical quality control with Minitab to base decisions on data and improve quality. Apply data-driven problem solving, lean six sigma concepts, and core methods for quality management.
Get familiar with the tools, functioning and use of the Minitab statistical software package that you will need to analyze big data and make decisions about problems arising in business, production or engineering.
Get the skills of manipulating data in a worksheet when you are analyzing data.
Animated video lessons about the process of manipulating data to prepare yourself to start learning the statistical methods of data analysis.
The video lessons give step-by step instructions you to select the appropriate menu commands or to write session window commands for specific problems. Screen animations highlight the important details of a session or draw your attention to the "tricks" applied. You can turn on subtitles to help follow the instrucions and explanations. Sample data of Minitab are used for demonstration so you do not need to download any additional dataset.
It is a short course including 10 lectures, a little more than half an hour, yet comprehensive and well enough to get the skill of using Minitab's capabilities for datasheet manipulation and to enable you to start real world data analysis in the next courses of "Foundation of Statistics with Minitab" or "Statistical Methods for Quality Improvement".
Watching a video, pausing it and doing the same steps simultaneously in your own Minitab is the best way of getting experience and practice in data manipulation. Repeating the sessions with different sample data develops your skill to easily handle big data files and helps you reach the stage when you feel that data analysis is a fun when you can have a look behind the scenes.