Applied Statistical Inference with MINITAB 2nd edition by Sally A. Lesik – Ebook PDF Instand Download/DeliveryISBN: 0429816642, 9780429816642
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ISBN-10 : 0429816642
ISBN-13 : 9780429816642
Author: Sally A. Lesik
Praise for the first edition: “One of my biggest complaints when I teach introductory statistics classes is that it takes me most of the semester to get to the good stuff—inferential statistics. The author manages to do this very quickly….if one were looking for a book that efficiently covers basic statistical methodology and also introduces statistical software [this text] fits the bill.” -The American Statistician Applied Statistical Inference with MINITAB, Second Edition distinguishes itself from other introductory statistics textbooks by focusing on the applications of statistics without compromising mathematical rigor. It presents the material in a seamless step-by-step approach so that readers are first introduced to a topic, given the details of the underlying mathematical foundations along with a detailed description of how to interpret the findings, and are shown how to use the statistical software program Minitab to perform the same analysis.
Applied Statistical Inference with MINITAB 2nd Table of contents:
1. Introduction
1.1 What is Statistics?
1.2 What This Book Is About
1.3 Summary Tables and Graphical Displays
1.4 Descriptive Representations of Data
1.5 Inferential Statistics
1.6 Populations
1.7 Different Ways of Collecting Data
1.8 Types of Variables
1.9 Scales of Variables
1.10 Types of Analyses
1.11 Entering Data into Minitab
1.12 Best Practices
Exercises
2. Graphs and Charts
2.1 Introduction
2.2 Frequency Distributions and Histograms
2.3 Using Minitab to Create Histograms
2.4 Stem-and-Leaf Plots
2.5 Using Minitab to Create Stem-and-Leaf Plots
2.6 Bar Charts
2.7 Using Minitab to Create a Bar Chart
2.8 Boxplots
2.9 Using Minitab to Create Boxplots
2.10 Scatterplots
2.11 Using Minitab to Create Scatterplots
2.12 Marginal Plots
2.13 Using Minitab to Create Marginal Plots
2.14 Matrix Plots
2.15 Using Minitab to Create a Matrix Plot
2.16 Best Practices
Exercises
Extending the Ideas
3. Descriptive Representations of Data and Random Variables
3.1 Introduction
3.2 Descriptive Statistics
3.3 Measures of Central Tendency
3.4 Measures of Variability
3.5 Using Minitab to Calculate Descriptive Statistics
3.6 More on Statistical Inference
3.7 Discrete Random Variables
3.8 Sampling Distributions
3.9 Continuous Random Variables
3.10 Standard Normal Distribution
3.11 Non-Standard Normal Distributions
3.12 Other Discrete and Continuous Probability Distributions
3.13 The Binomial Distribution
3.14 The Poisson Distribution
3.15 The t-Distribution
3.16 The Chi-Square Distribution
3.17 The F-Distribution
3.18 Using Minitab to Graph Probability Distributions
Exercises
4. Statistical Inference for One Sample
4.1 Introduction
4.2 Confidence Intervals
4.3 Using Minitab to Calculate Confidence Intervals for a Population Mean
4.4 Hypothesis Testing: A One-Sample t-Test for a Population Mean
4.5 Using Minitab for a One-Sample t-Test
4.6 Power Analysis for a One-Sample t-Test
4.7 Using Minitab for a Power Analysis for a One-Sample t-Test
4.8 Confidence Intervals and Hypothesis Tests for One Proportion
4.9 Using Minitab for a One-Sample Proportion
4.10 Power Analysis for a One-Sample Proportion
4.11 Confidence Intervals and Hypothesis Tests for One-Sample Variance
4.12 Confidence Intervals for One-Sample Variance
4.13 Hypothesis Tests for One-Sample Variance
4.14 Using Minitab for One-Sample Variance
4.15 Power Analysis for One-Sample Variance
4.16 Confidence Intervals for One-Sample Count Data
4.17 Using Minitab to Calculate Confidence Intervals for a One-Sample Count Variable
4.18 Hypothesis Test for a One-Sample Count Variable
4.19 Using Minitab to Conduct a Hypothesis Test for a One-Sample Count Variable
4.20 Using Minitab for a Power Analysis for a One-Sample Poisson
4.21 A Note About One- and Two-Tailed Hypothesis Tests
Exercises
References
5. Statistical Inference for Two-Sample Data
5.1 Introduction
5.2 Confidence Interval for the Difference Between Two Means
5.3 Using Minitab to Calculate a Confidence Interval for the Difference Between Two Means
5.4 Hypothesis Tests for the Difference Between Two Means
5.5 Using Minitab to Test the Difference Between Two Means
5.6 Using Minitab to Create an Interval Plot
5.7 Using Minitab for a Power Analysis for a Two-Sample t-Test
5.8 Paired Confidence Interval and t-Test
5.9 Using Minitab for a Paired Confidence Interval and t-Test
5.10 Differences Between Two Proportions
5.11 Using Minitab for Two-Sample Proportion Confidence Intervals and Hypothesis Tests
5.12 Power Analysis for a Two-Sample Proportion
5.13 Confidence Intervals and Hypothesis Tests for Two Variances
5.14 Using Minitab for Testing Two Sample Variances
5.15 Power Analysis for Two-Sample Variances
5.16 Confidence Intervals and Hypothesis Tests for Two-Count Variables
5.17 Using Minitab for a Two-Sample Poisson
5.18 Power Analysis for a Two-Sample Poisson Rate
5.19 Best Practices
Exercises
6. Simple Linear Regression
6.1 Introduction
6.2 The Simple Linear Regression Model
6.3 Model Assumptions for Simple Linear Regression
6.4 Finding the Equation of the Line of Best Fit
6.5 Using Minitab for Simple Linear Regression
6.6 Standard Errors for Estimated Regression Parameters
6.7 Inferences about the Population Regression Parameters
6.8 Using Minitab to Test the Population Slope Parameter
6.9 Confidence Intervals for the Mean Response for a Specific Value of the Predictor Variable
6.10 Prediction Intervals for a Response for a Specific Value of the Predictor Variable
6.11 Using Minitab to Find Confidence and Prediction Intervals
Exercises
7. More on Simple Linear Regression
7.1 Introduction
7.2 The Coefficient of Determination
7.3 Using Minitab to Find the Coefficient of Determination
7.4 The Coefficient of Correlation
7.5 Correlation Inference
7.6 Using Minitab for Correlation Analysis
7.7 Assessing Linear Regression Model Assumptions
7.8 Using Minitab to Create Exploratory Plots of Residuals
7.9 A Formal Test of the Normality Assumption
7.10 Using Minitab for the Ryan–Joiner Test
7.11 Assessing Outliers
7.12 Assessing Outliers: Leverage Values
7.13 Using Minitab to Calculate Leverage Values
7.14 Assessing Outliers: Standardized Residuals
7.15 Using Minitab to Calculate Standardized Residuals
7.16 Assessing Outliers: Cook’s Distances
7.17 Using Minitab to Find Cook’s Distances
7.18 How to Deal with Outliers
Exercises
References
8. Multiple Regression Analysis
8.1 Introduction
8.2 Basics of Multiple Regression Analysis
8.3 Using Minitab to Create Matrix Plots
8.4 Using Minitab for Multiple Regression
8.5 The Coefficient of Determination for Multiple Regression
8.6 The Analysis of Variance Table
8.7 Testing Individual Population Regression Parameters
8.8 Using Minitab to Test Individual Regression Parameters
8.9 Multicollinearity
8.10 Variance Inflation Factors
8.11 Using Minitab to Calculate Variance Inflation Factors
8.12 Multiple Regression Model Assumptions
8.13 Using Minitab to Check Multiple Regression Model Assumptions
Exercises
9. More on Multiple Regression
9.1 Introduction
9.2 Using Categorical Predictor Variables
9.3 Using Minitab for Categorical Predictor Variables
9.4 Adjusted R2
9.5 Best Subsets Regression
9.6 Using Minitab for Best Subsets Regression
9.7 Confidence and Prediction Intervals for Multiple Regression
9.8 Using Minitab to Calculate Confidence and Prediction Intervals for a Multiple Regression Analysis
9.9 Assessing Outliers
Exercises
10. Analysis of Variance (ANOVA)
10.1 Introduction
10.2 Basic Experimental Design
10.3 One-Way ANOVA
10.4 One-Way ANOVA Model Assumptions
10.5 Assumption of Constant Variance
10.6 Normality Assumption
10.7 Using Minitab for One-Way ANOVAs
10.8 Multiple Comparison Techniques
10.9 Using Minitab for Multiple Comparisons
10.10 Power Analysis and One-Way ANOVA
Exercises
References
11. Nonparametric Statistics
11.1 Introduction
11.2 Wilcoxon Signed-Rank Test
11.3 Using Minitab for the Wilcoxon Signed-Rank Test
11.4 The Mann–Whitney Test
11.5 Using Minitab for the Mann–Whitney Test
11.6 Kruskal–Wallis Test
11.7 Using Minitab for the Kruskal–Wallis Test
Exercises
12. Two-Way Analysis of Variance and Basic Time Series
12.1 Two-Way Analysis of Variance
12.2 Using Minitab for a Two-Way ANOVA
12.3 Basic Time Series Analysis
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