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Minitab Cookbook
最新章節：
Index
Thispracticalcookbookcoversabroadrangeoftopicsinaneasytounderstandmanner.StepbystepinstructionsguideyouthrougheventhemostcomplicatedoftoolsinMinitab.ThisbookisgreatforanyonewhoisfamiliarwithstatisticsandwhowantstolearnhowMinitabworks.Whilstyoudonotneedtobeanexpertinallareasofstatistics,youshouldunderstandthebasicsofthechaptersyouareinterestedin.
最新章節
- Index
- The Project Manager toolbar
- Appendix A. Navigating Minitab and Useful Shortcuts
- Local macros with subcommands submacros and control statements
- Creating a Local macro
- Obtaining input from the session window with a Global macro
品牌：中圖公司
上架時間：2021-07-16 10:29:31
出版社：Packt Publishing
本書數字版權由中圖公司提供，并由其授權上海閱文信息技術有限公司制作發行
- Index 更新時間：2021-07-16 12:29:53
- The Project Manager toolbar
- Appendix A. Navigating Minitab and Useful Shortcuts
- Local macros with subcommands submacros and control statements
- Creating a Local macro
- Obtaining input from the session window with a Global macro
- Building a Global macro to create a custom graph layout
- Exec macros to repeat simple commands
- Introduction
- Chapter 11. Macro Writing
- Time series predictions without trends or seasonal variations
- Fitting to seasonal variation
- Fitting a trend to data
- Introduction
- Chapter 10. Time Series Analysis
- Studying complex contingency tables with a multiple correspondence analysis
- Analyzing two-way contingency tables with a simple correspondence analysis
- The discriminant analysis
- Identifying groups in data using cluster K-means
- Finding similarity across columns using cluster variables
- Finding similarity in results by rows using cluster observations
- Analyzing consistency of a test paper using item analysis
- Using factor analysis to identify the underlying factors
- Finding the principal components of a set of data
- Introduction
- Chapter 9. Multivariate Statistics
- Attribute Gage study from the Assistant menu
- Using the Assistant tool for Gage R&R
- Studying a go / no go measurement system
- Expanding a Gage study with extra factors
- Checking Gage linearity and bias
- Studying a nested Gage R&R
- Analyzing a crossed Gage R&R study
- Creating a Gage R&R worksheet
- Analyzing a Type 1 Gage study
- Introduction
- Chapter 8. Measurement Systems Analysis
- Datasets that do not transform or fit any distribution
- Generating tolerance intervals for summarized data
- Generating run charts
- Comparing a previously defined sampling plan – C = 0 plans
- Creating an acceptance sampling plan for attribute data
- Creating an acceptance sampling plan for variable data
- Comparing the capability of two processes using the Assistant tool
- Using the Assistant tool for short-run capability analysis
- Using a Johnson transformation for capability
- Using a Box-Cox transformation for capability
- Capability analysis for nonnormal distributions
- Capability analysis for normally distributed data
- A capability and control chart report using the capability analysis sixpack
- Introduction
- Chapter 7. Capability Process Variation and Specifications
- Rare event charts – G charts
- Control charts for rare events – T charts
- Finding small shifts with EWMA
- Using CUSUM charts
- Testing for overdispersion and Laney U' chart
- Creating a u-chart
- Testing for overdispersion and Laney P' chart
- Attribute charts' P (proportion) chart
- Using the Assistant tool to create control charts
- Using I-MR charts
- Using an Xbar-S chart
- Xbar-R charts and applying stages to a control chart
- Introduction
- Chapter 6. Understanding Process Variation with Control Charts
- Fitting a nonlinear regression
- Binary logistic regression
- Model selection tools – the stepwise regression
- Model selection tools – the best subsets regression
- Multiple regression with linear predictors
- Using the Assistant tool to run a regression
- Visualizing simple regressions with fitted line plots
- Introduction
- Chapter 5. Regression and Modeling the Relationship between X and Y
- Finding the critical F-statistic
- The repeated measures ANOVA – using a mixed effects model
- Analyzing a fully nested design
- Analyzing covariance
- Using GLM for unbalanced designs
- Entering random effects model
- Analyzing a balanced design
- Testing for equal variances
- Using Assistant to run a one-way ANOVA
- Calculating power for the one-way ANOVA
- Using a one-way ANOVA with unstacked columns
- Introduction
- Chapter 4. Using Analysis of Variance
- Calculating the sample size for a 1-Sample equivalence test
- Using equivalence tests to prove zero difference between the mean and a target
- Using Cross tabulation and Chi-Square
- Finding the sample size to estimate a mean to a given margin of error
- Using the Assistant menu to run a 2 Proportions test
- Using the Power and Sample Size tool for a 2 Proportions test
- Testing two population proportions with the 2 Proportions test
- Using the Power and Sample Size tool for a 1 Proportion test
- Graphically presenting the 1 Proportion test
- Using the 1 Proportion test
- Finding correlation between multiple variables
- Finding critical t-statistics using the probability distribution plot
- Using the Assistant menu to run the 2-Sample t-test
- Using the Power and Sample Size tool for a 2-Sample t-test
- Looking for differences in the population means between two samples with a 2-Sample t-test
- Using the Assistant menu for a 1-Sample t-test
- Using the Power and Sample Size tool for a 1-Sample t-test
- Comparing the population mean to a target with a 1-Sample t-test
- Checking if data follows a normal distribution
- Producing a graphical summary of data
- Introduction
- Chapter 3. Basic Statistical Tools
- Adding a secondary axis to a time series plot
- Creating a time series plot
- Creating a layout of graphs
- Using probability plots to check the distribution of two sets of data
- Finding the mean to a 95 percent confidence on interval plots
- Generating a paneled boxplot
- Creating a scatterplot of two variables
- Creating a bar chart with a numeric response
- Creating bar charts of categorical data
- Creating Pareto charts
- Building a table of descriptive statistics
- Finding the Tally of a categorical column
- Introduction
- Chapter 2. Tables and Graphs
- Cleaning up a text column with the calculator
- Coding a numeric column to text values
- Calculator – using an if statement
- Calculator – basic functions
- Extracting values from a date/time column
- Creating a subset of data in a new worksheet
- Splitting a worksheet by categorical column
- Transposing the columns of a worksheet
- Stacking blocks of columns at the same time
- Stacking several columns together
- Opening data from Access using ODBC
- Opening an Excel file in Minitab
- Introduction
- Chapter 1. Worksheet Data Management and the Calculator
- Customer support
- Reader feedback
- Conventions
- Who this book is for
- What you need for this book
- What this book covers
- Preface
- Support files eBooks discount offers and more
- www.PacktPub.com
- About the Reviewers
- About the Author
- Credits
- Minitab Cookbook
- coverpage
- coverpage
- Minitab Cookbook
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Support files eBooks discount offers and more
- Preface
- What this book covers
- What you need for this book
- Who this book is for
- Conventions
- Reader feedback
- Customer support
- Chapter 1. Worksheet Data Management and the Calculator
- Introduction
- Opening an Excel file in Minitab
- Opening data from Access using ODBC
- Stacking several columns together
- Stacking blocks of columns at the same time
- Transposing the columns of a worksheet
- Splitting a worksheet by categorical column
- Creating a subset of data in a new worksheet
- Extracting values from a date/time column
- Calculator – basic functions
- Calculator – using an if statement
- Coding a numeric column to text values
- Cleaning up a text column with the calculator
- Chapter 2. Tables and Graphs
- Introduction
- Finding the Tally of a categorical column
- Building a table of descriptive statistics
- Creating Pareto charts
- Creating bar charts of categorical data
- Creating a bar chart with a numeric response
- Creating a scatterplot of two variables
- Generating a paneled boxplot
- Finding the mean to a 95 percent confidence on interval plots
- Using probability plots to check the distribution of two sets of data
- Creating a layout of graphs
- Creating a time series plot
- Adding a secondary axis to a time series plot
- Chapter 3. Basic Statistical Tools
- Introduction
- Producing a graphical summary of data
- Checking if data follows a normal distribution
- Comparing the population mean to a target with a 1-Sample t-test
- Using the Power and Sample Size tool for a 1-Sample t-test
- Using the Assistant menu for a 1-Sample t-test
- Looking for differences in the population means between two samples with a 2-Sample t-test
- Using the Power and Sample Size tool for a 2-Sample t-test
- Using the Assistant menu to run the 2-Sample t-test
- Finding critical t-statistics using the probability distribution plot
- Finding correlation between multiple variables
- Using the 1 Proportion test
- Graphically presenting the 1 Proportion test
- Using the Power and Sample Size tool for a 1 Proportion test
- Testing two population proportions with the 2 Proportions test
- Using the Power and Sample Size tool for a 2 Proportions test
- Using the Assistant menu to run a 2 Proportions test
- Finding the sample size to estimate a mean to a given margin of error
- Using Cross tabulation and Chi-Square
- Using equivalence tests to prove zero difference between the mean and a target
- Calculating the sample size for a 1-Sample equivalence test
- Chapter 4. Using Analysis of Variance
- Introduction
- Using a one-way ANOVA with unstacked columns
- Calculating power for the one-way ANOVA
- Using Assistant to run a one-way ANOVA
- Testing for equal variances
- Analyzing a balanced design
- Entering random effects model
- Using GLM for unbalanced designs
- Analyzing covariance
- Analyzing a fully nested design
- The repeated measures ANOVA – using a mixed effects model
- Finding the critical F-statistic
- Chapter 5. Regression and Modeling the Relationship between X and Y
- Introduction
- Visualizing simple regressions with fitted line plots
- Using the Assistant tool to run a regression
- Multiple regression with linear predictors
- Model selection tools – the best subsets regression
- Model selection tools – the stepwise regression
- Binary logistic regression
- Fitting a nonlinear regression
- Chapter 6. Understanding Process Variation with Control Charts
- Introduction
- Xbar-R charts and applying stages to a control chart
- Using an Xbar-S chart
- Using I-MR charts
- Using the Assistant tool to create control charts
- Attribute charts' P (proportion) chart
- Testing for overdispersion and Laney P' chart
- Creating a u-chart
- Testing for overdispersion and Laney U' chart
- Using CUSUM charts
- Finding small shifts with EWMA
- Control charts for rare events – T charts
- Rare event charts – G charts
- Chapter 7. Capability Process Variation and Specifications
- Introduction
- A capability and control chart report using the capability analysis sixpack
- Capability analysis for normally distributed data
- Capability analysis for nonnormal distributions
- Using a Box-Cox transformation for capability
- Using a Johnson transformation for capability
- Using the Assistant tool for short-run capability analysis
- Comparing the capability of two processes using the Assistant tool
- Creating an acceptance sampling plan for variable data
- Creating an acceptance sampling plan for attribute data
- Comparing a previously defined sampling plan – C = 0 plans
- Generating run charts
- Generating tolerance intervals for summarized data
- Datasets that do not transform or fit any distribution
- Chapter 8. Measurement Systems Analysis
- Introduction
- Analyzing a Type 1 Gage study
- Creating a Gage R&R worksheet
- Analyzing a crossed Gage R&R study
- Studying a nested Gage R&R
- Checking Gage linearity and bias
- Expanding a Gage study with extra factors
- Studying a go / no go measurement system
- Using the Assistant tool for Gage R&R
- Attribute Gage study from the Assistant menu
- Chapter 9. Multivariate Statistics
- Introduction
- Finding the principal components of a set of data
- Using factor analysis to identify the underlying factors
- Analyzing consistency of a test paper using item analysis
- Finding similarity in results by rows using cluster observations
- Finding similarity across columns using cluster variables
- Identifying groups in data using cluster K-means
- The discriminant analysis
- Analyzing two-way contingency tables with a simple correspondence analysis
- Studying complex contingency tables with a multiple correspondence analysis
- Chapter 10. Time Series Analysis
- Introduction
- Fitting a trend to data
- Fitting to seasonal variation
- Time series predictions without trends or seasonal variations
- Chapter 11. Macro Writing
- Introduction
- Exec macros to repeat simple commands
- Building a Global macro to create a custom graph layout
- Obtaining input from the session window with a Global macro
- Creating a Local macro
- Local macros with subcommands submacros and control statements
- Appendix A. Navigating Minitab and Useful Shortcuts
- The Project Manager toolbar
- Index 更新時間：2021-07-16 12:29:53
