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Analysis. Results.® and the Minitab® logo are all registered trademarks of Minitab, Inc., in the See yazik.info for more information. All other. Minitab is a Statistical Analysis software that allows to easily conduct analyses of data. nitab/yazik.info 2. Minitab Tutorial – University of Reading. MANUAL. PRACTICING STATISTICS: GUIDED INVESTIGATIONS FOR THE . The following questions are designed to introduce you to Minitab software.

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Minitab Tutorial. University of Michigan: Six Sigma, P. Hammett. 1. Minitab Tutorial. Basic Commands and Data Entry. Graphical Tools. Descriptive Statistics. In this lab, you will become familiar with the general features of Minitab (Student Version 12 .. scatterplot with the one that you created earlier in the tutorial. I. Minitab for Data Management. 1. 1. Manual Overview and Conventions . 3. 2. Accessing and Exiting Minitab.

After you conduct the experiment and enter the results. The steps you follow in Minitab to create. These experiments consist of a series of runs.

Minitab helps you select a design by providing a list of all the available designs. The Western center is experimenting with a new order processing system and you want to determine if it will speed up order preparation. Once you have chosen the design and its features. You decide to conduct a factorial experiment to find out which combination of factors results in the shortest time to prepare an order for shipment. Depending on the requirements of your experiment.

The center also has two different packing procedures and you want to investigate which one is more efficient.

After evaluating many potentially important factors. Select design You want to create a factorial design to examine the relationship between two factors.

For more information on the types of designs that Minitab offers. Minitab automatically creates the design and stores it in the worksheet for you. Creating an Experimental Design Before you can enter or analyze measurement data in Minitab.

The results of this experiment will help you make decisions about the order processing system and packing procedures used in the shipping center.

The box at the top shows all available designs for the design type and the number of factors you chose. Minitab displays all the possible designs and number of required runs in the Display Available Designs dialog box. The other buttons are enabled after you complete the Designs subdialog box.

A two-level design with two factors has 22 or four possible factor combinations. Name factors Minitab enters the names and levels you enter for each factor into the worksheet and and set factor uses the names as the labels for the factors on the analysis output and graphs. If you levels do not enter factor levels.

When you create a design in Minitab. For most design types. Notice that Minitab enables the remaining buttons. In this example. Display Available Designs and Designs. Minitab sets the low level at —1 and the high level at 1. Under Type. Click OK in each dialog box. Randomization helps to ensure that the model meets certain statistical design assumptions and can also help reduce the effects of factors not included in the study.

New in Low. A in Low. While you usually would not do this in practice. In the row for: Minitab randomizes the run order of all design types.

Setting the base for the random data generator ensures you obtain the same run order every time you create the design. Randomize By default. Open the Data window to see the structure of a typical design.

Because you entered the factor levels in the Factors subdialog box. If you do not randomize a design. Minitab stores design information and factors in worksheet columns. You can also open the worksheet DOE.

To change the factor settings or names. You obtained the following data from the experiment: The factors are stored in columns C5 and C6.

Minitab sets all the values in C3 and C4 to 1. Entering Data After you conduct the experiment and collect the data. The characteristic you measure is called a response. MTW in the Meet Minitab data folder. The RunOrder column C2. If you only need to change the factor names. Analyzing the Design Now that you have created a design and collected the response data.

Use this form to record measurements while you conduct the experiment. Use the results from the fitted model and graphs to see which factors are important for reducing the number of hours needed to prepare an order for shipment. You can enter data in any columns except in those containing design information. You can also enter multiple responses for an experiment. You must enter a response column before you can open the subdialog boxes.

Fit a model Because you have created and stored a factorial design. At this point. Pack and AB are in the Selected Terms box. Check to make sure that A: When analyzing a design. You can add or remove factors and interactions by using the arrow buttons. Effects plots are only available in factorial designs. Identify You can use both the Session window output and the two effects plots to determine important which effects are important to your process.

Hours versus OrderSystem. Use the check boxes to include blocks and center points in the model. Residual plots. Significant terms are identified by a square symbol. Use the p-values P in the Estimated Effects and Coefficients table to determine which effects are significant.

OrderSystem A. Pack B. Interpret Next. Pack to Selected. OrderSystem under Available. Then click to move A: OrderSystem factor to Selected. Any effects that extend beyond the reference line are significant at the default level of 0. Drawing Conclusions Display Minitab provides design-specific graphs you can use to interpret your results.

This point shows the mean of all runs using the new order processing system. A significant interaction between two factors can affect the interpretation of the main effects. The order processing system and packing procedure have a similar effect on order preparation time. The plot also indicates that orders using: These one-factor effects are called main effects. Because the interaction in this example is significant. This line shows the mean of all the response Hours in the experiment.

This point shows the mean of all runs using the current order processing system. Evaluate plots Examine the plot that shows the effect of using the new versus current order processing system. This legend displays the levels of the first factor OrderSystem. Orders processed with the current order processing system and packing procedure A took the longest to prepare about Because the slope of the line for the new order processing system is steeper. An interaction plot shows the impact that changing the settings of one factor has on another factor.

This point is the mean time required to prepare packages using the new order processing system and packing procedure A. The horizontal scale x-axis shows the levels of the second factor Pack. The vertical scale y-axis is in units of the response Hours. Because an interaction can magnify or diminish main effects.

Based on the results of the experiment. The plot shows that book orders processed with the new order processing system and packing procedure B took the fewest hours to prepare about 9 hours. Commands are usually easy-to-remember words. Session commands can be: When you use menu commands. Both main commands and subcommands can be followed by a series of arguments. Minitab generates and stores the corresponding session commands in the History folder.

Session commands consist of a main command and. A check appears next to the menu item. Minitab does not display the command prompt by default. Some users find session commands quicker to use than menu commands once they become familiar with them.

Assessing Quality. To learn more about session commands. Enabling and Typing Commands One way to use session commands is to directly type the commands and subcommands at the command prompt in the Session window.

In Chapter 4. Enable 1 If continuing from the previous chapter. To change the default options and enable session commands for all future sessions: The Western shipping center continuously collects and analyzes shipping time when new data are available. To enter commands directly into the Session window.

This technique provides a convenient way to learn session commands. Analyze the April shipping data using session commands.

To session perform this analysis. The semicolon indicates that you want to type a subcommand. Conduct an In Chapter 4. When you collect new data. To continue evaluating shipping times at the Western shipping center. USPEC 6. For more information on session commands.

Minitab displays the capability analysis for the April shipping data. Go to Notation for session commands in the Session Command Help index. The period indicates the end of a command sequence.

For general information on syntax notation. History folder session commands The right pane of the Project Manager contains all the session commands generated during a Minitab session.

When you select any portion of the session commands in the History folder. Use the History folder and the Command Line Editor to re-create the capability analysis. These commands are stored regardless of whether the command prompt is enabled. Rather than repeat all the previous steps of your analysis using the menus. Reexecute 1 To highlight the capability analysis session commands.

Session commands for the capability analysis you just conducted are stored in the History folder. Graph window output You have re-created the capability analysis in just a few simple steps. Minitab does not automatically generate session commands for the changes made.

To repeat an analysis without using menu commands or typing session commands. If you edit a graph or a control chart. Click Save. Reexecute You can repeat this analysis at any time by running the Exec.

You can use this Exec to Exec from the continuously analyze the shipping data. Create an Save the capability analysis session commands as an Exec. For more information about Execs and other more complex macros. Because you can run the Exec using any worksheet as long as the column names match.

If you want to use the Exec with a different worksheet or with different column. The ReportPad acts as a simple text editor like Notepad. In ReportPad. In addition. Add the histogram with fits and groups you created in Chapter 2. In Chapter 3. The histogram has been added to the ReportPad. Analyzing window Data.

Add output to the output for the three centers to the ReportPad. Click to maximize the window to see more of your report. The section of output Minitab appends is delineated by the output titles which are in bold text. If you right-click in this area and choose Append Section to Report. Then right-click and choose Append Section to Report. From Size. From Color. Type Report on Shipping Data. Edit in Customize the report by replacing the default title and adding a short comment to ReportPad the graphical output.

From Font style. Press [Enter]. Right-click the highlighted text and choose Font. Two tools in ReportPad. If you save a Minitab project. All graphs and Session window output remain fully editable after they are appended to the ReportPad.

To edit a graph in the ReportPad. Edit Minitab To blend the graph into the report background and create a better visual effect. You do not need to choose a file type. Minitab automatically opens your default word processor and loads the RTF file you just saved. Copy report 1 In the Project Manager. RTF is the only option available. You can now edit your Minitab content in the word processor. Minitab graph editing tools Graph region The graph is in edit mode. Notice that you now have several toolbars with editing tools.

Add the histogram and descriptive statistics results to PowerPoint. A new PowerPoint file will open with the histogram on the first slide. To add multiple sections of Session window output to the Word or PowerPoint: You combine data from multiple sources and place them in Minitab.

You can edit the PowerPoint document to changes titles or font sizes and add text. When you send a graph to Word or PowerPoint.

Minitab can use data from: Common manipulations include stacking. Minitab can open a variety of file types. Open a Begin with data from the Eastern shipping center. This chapter shows how to place data from different sources into Minitab and how ShippingData. To see the file types. Original data Merged data Minitab also provides a Merge Worksheets menu command that provides additional options to merge two or more open worksheets.

Minitab would have placed the data in a separate worksheet. Examine Choosing Merge adds the Excel data to your current worksheet. If you had not chosen Merge. For more information on Merge. Minitab places the worksheet data in cells to the right of the current worksheet data in columns C5—C8.

To combine the Western book order data with the Eastern and file Central data. Preparing the Worksheet for Analysis With the data in a single worksheet. Examine Choosing Merge adds the data from the text file to the current worksheet.

Minitab worksheet places the data in cells to the right of the current worksheet data in columns C9—C Not all text files are in a format that can be easily imported. Minitab provides several tools for interpreting text file formats. Original data Merged data Before opening a text file in Minitab. This summary is especially useful in identifying unequal column lengths or columns that contain missing values.

For more information on the Project Manager toolbar. Notice that the counts for the Eastern data C1—C4 are for all columns.

The Columns subfolder contains details on the current worksheet. Show To view a summary of your worksheet columns. C10 has a count of unlike the other columns. Stack data Now that the data are assembled in a single Minitab worksheet. Others require groups to be stacked. You can move data within the worksheet by copying and pasting or use Data menu items to rearrange blocks of data.

Notice that the last row of the column is empty. When you copy and paste data from a text or Excel file into a worksheet. Replace For Minitab to perform the correct analysis. To analyze the data. Minitab leaves the cell empty when you paste the data into the worksheet.

Some Minitab commands allow data from different groups to remain unstacked in separate columns. Subscripts column Data entry arrow Meet Minitab In Name. Examine The variables for the shipping centers are all in the same columns. Click Select to move the variables into the first row of Stack two or more blocks of columns on top of each other.

Move to the next row. Calculate Before saving your new worksheet and performing analyses. Code the labels with more meaningful names. In the third row under New.

In the first row under New. In the second row under New. If you change or add data. To replace the label Subscripts. The shipping center labels in the subscripts column are now Eastern.

Add column Add column names to the stacked data.

Statistics Online

This indicator tells you whether the formula is properly defined and Meet Minitab When you assign a formula to a column. Compute the delivery time and store the values in the Days column. For more information on formulas in columns. Examine The Days column contains the newly calculated values that represent delivery time. Minitab stores the results in a column or constant. You can assign the formula to the column so the calculated values update automatically if the data change.

Type Days. You can correct the date in the worksheet and Minitab will automatically update the Days column. When the status indicator is yellow. Double-click the status indicator to edit the formula.

The green plus sign indicates the data are up-to-date. Update Suppose you learn that the arrival date for a shipment in the Central shipping center worksheet is incorrect.

Original worksheet Updated worksheet You can also choose to update the calculated values manually. Status indicator Place your cursor over the status indicator to view the formula assigned to the column. This command is active only if formulas are out of date and Calculate All Formulas Automatically is not checked in the Editor menu. Examine Minitab automatically updates the value in the Days column from 2.

Settings that you change remain active until you change them again. Because you are planning to do similar analyses on the shipping data during the next few months. Minitab adds the automatic footnote. You decide to add an automatic footnote footnote to your graphs to include the worksheet name.

Add Because you will create the same graphs with similar data in the future. With these settings. If you want a setting to be your default for all Minitab sessions. If you change options. Combining toolbar these items on a single custom toolbar can simplify future analysis.

Create a During some analyses. Create a custom toolbar that includes some of the commands used in the shipping center analysis. Automatic footnote Creating a Custom Toolbar In addition to saving time by changing the default options settings for individual commands. Use Customize to create new menus and toolbars that contain only the commands you choose to add.

New toolbar name Add Add commands to the blank toolbar. A new blank toolbar labeled Shipping Data appears under Toolbars. In the shipping center analysis. You can add any number of commands until you have a custom toolbar that includes all your frequently used commands. To assign shortcut keys. Shortcut keys enable you to quickly bypass the menus and open dialog boxes. Under Categories is a list of all Minitab menus.

You also can create a custom menu. Histogram Scatterplot 8 Click Close.


When you select one of these menus. To access the new toolbar items quickly from the keyboard. Assign a Because you often create histograms for your shipping data analysis.

Under Press New Shortcut Key. All settings that you have adjusted while working through Meet Minitab are already stored in your active profile. Category provides a list of all Minitab menus. You also can export and share this profile with other users who are doing a similar analysis. Any existing combination that conflicts with your choice must be removed from its command before it can be assigned to a new command.

In this case. The new shortcut key appears under Current Keys. Keys or key combinations that are already assigned to a command are indicated here. The default settings are now restored. For more information on managing profiles. Minitab creates a new active profile to store any changes you make after this point.

To activate the settings you adjusted during your Meet Minitab sessions. The next chapter suggests ways to get answers to your Minitab questions and provides details about how to use Minitab Help and StatGuide.

Export any profiles you want to keep before running this program. Minitab can help. From assistance with completing a dialog box. This chapter discusses using Help.

See StatGuide on page for more information. Statistical covers all areas of Minitab Glossary statistics. Includes information on: Each definition contains practical. Using Help under Basics. For details about other commands. Macros under References. See Session Command Help on page for more information. New features in Minitab ReadMe Late-breaking information on Go to www. Finding To display the overview page: From this page.

Internet resources. The links provided under the headings shown below make finding information quick and easy: For more information about the Minitab Help environment.

Click a menu link to view Help topics for all commands on that menu. Finding Most Help topics appear in a window that consists of three areas: Most main dialog box topics contain the following links: You can access command-specific assistance from within Minitab dialog boxes by specific clicking Help in the dialog box or pressing [F1]. Help suggests ways to complete the information dialog box and encourages a thorough understanding of the task by supplying links to related topics and associated commands.

StatGuide topics include information such as: To locate specific words or phrases. Unlike Help. The StatGuide provides a direct path to command-specific guidance: You can also right-click the Session window or graph output name. Browse all StatGuide topics for a command. Read a description of the data used in the example output.

Each topic in the StatGuide provides interpretation for a part of the Session window specific output or graph and includes the following sections: View in-depth content for more information about the analysis. Lists available topics for each command and shows your location within the StatGuide. Display a list of all StatGuide topics for a command. Using Session Commands. Parts are not too heavy. Note: I use the term beyond to indicate further from H0 , the hypothesized population parameter.

Problem II message: If a 1-tail test is accepted then the 2-tail test must be accepted. Others should create a worksheet with 70 rows and 2 columns variables. In the first data variable column entitled Delivery Days enter the data for Supplier A and then the data for Supplier B.

In the second source variable column entitled Supplier, enter a 0 next to Supplier A's data and a 1 next to Supplier B's data. Put the cursor in the box next to Samples and double click on Delivery Days. Double click on Supplier. Set the Alternative Hypothesis to not equal. Do not choose Assume equal variances and choose OK. The test statistic t z of Delivery times are the same. We must redo the chapter 13 test and look for the p value.

Six Sigma Quality Improvement with Minitab

Others will need to load their page 68 worksheet. Choose the Test Mean bull's eye and set the mean to Set Alternative Hypothesis to greater than and sigma to. Chapter 15 on Hypothesis Testing of Population Proportions Problem I message: The population proportion is a type of mean so these problems use the one-sample mean test described by chapter 13 directions. Others should create a worksheet using 1 for those who passed and 0 for those who failed. Double click on Passed to copy the file into the Variables box.

Choose the Test Mean bull's eye and set the mean to. Set the Alternative Hypothesis to greater than and sigma to the square root of pq which is. A z value of. Problem II message: This is a 2 sample proportion test similar to those explored in chapter Others should create a worksheet with rows and 2 columns variables.

In the first column entitled Defects, enter the data for the day shift and then the data for the night shift. Enter a 0 for passes and a 1 for failed.

For the source variable named Shift, enter a 0 for day shift data and a 1 for night shift data. Put the cursor in the box next to Samples and double click on Defects. Double click on Shift.

Choose Assume equal variances and OK. H 0 is accepted, shift defects are the same. It is similar to problems done earlier. Others should create a worksheet containing both a data variable and a source variable using procedures discussed earlier.

Do not assume equal variances. Problem II message: This is a paired difference test. Those using Quick's data files should load Mini Others should add 3 variables to their page worksheet, one for the efficiency before training, one for the efficiency after training, and one to store the difference. Be sure to match each employee with their before and after efficiency rating. Choose Calc and Calculator. Use Select to copy Difference into the Store results in variable. Highlight Before and use Select to copy it into the Expression box.

Choose the calculator subtraction sign. Highlight After and use Select to copy it into the Expression box. Choose Stat, Basic Statistics, and 1 Sample t. Double click on Difference. Choose Test mean and leave it at 0. Set Alternative Hypothesis to less than and choose OK. Training increased efficiency. Others should create a page worksheet with a 36 row variable named Weight and a source variable named Sample Number.

Each sample number will be entered 3 times. Double click on Weight to copy it into the Single column and double click on Sample Number to copy it into Subgroup size. See page PS for the answer.

Actual data is needed. Chapter 18 on Analysis of Variance Problem I message: This two-sample analysis of the variance should be done by hand. Others should create a 2 variables worksheet for page One variable is for Weight data and one for Department. Copy Weight into Response with a double click. Copy Department into Factor with a double click. Part mean weights are not equal. Those using Quick's worksheet should load Mini Others should create a 3 variable file containing data on Weight, Department, and Time.

When doing time, be sure to match each time with the appropriate department and weight. Problem II message: This problem emphasizes the concept of statistical independence.

Those using Quick's data worksheets should load Mini Others should create a 2 variable worksheet to store the data presented in the problem table. The first variable entitled Younger contains 24 and The second entitled Older contains 12 and 8.

Chi square is zero and H0 is accepted. Making a sale and age are independent. Problem data was first presented on page Others should load their page 68 data file. Double click on Weight. Check the bull's eye next to Above and below and insert the median of Problem II message: This is a one sample sign test of the median. Others should create a one variable worksheet for the page median data. Double click on Median. Check the bull's eye next to Test median and insert the median of 5.

Set Alternative hypothesis to greater than and choose OK. The median has not increased. Problem III This is a two sample medians test. Others should create a data file with 2 variables, one for sick days taken by graduates and the other for sick days of non-graduates. Double click on Graduates and then Non-graduates. Set Alternative to not equal and choose OK. Reject H0 as. Median sick days differ. Note: z of 3. Others should add 2 variables to their page worksheet, one for Median Weight listed by departments and a second for Departments H0 is rejected because The medians are not equal.For more information on Merge.

Do — Carry it out, preferably on a small scale. Moreover, graphs and charts present statistical data in visual form. Had, for example, four bottles been weighed every 15 minutes then Minitab offers the choice of a run chart with symbols corresponding to either the mean or median of the weights of each sample or subgroup of four bottles. While working through this book. Support From Minitab Minitab offers several resources that are helpful for you. This summary is especially useful in identifying unequal column lengths or columns that contain missing values.

Others should add 3 variables to their page worksheet, one for the efficiency before training, one for the efficiency after training, and one to store the difference.