Жанры
Авторы
Контакты
О сайте
Книжные новинки
Популярные книги
Найти
Главная
Авторы
Bhisham C. Gupta
Statistics and Probability with Applications for Engineers and Scientists Using MINITAB, R and JMP
Читать книгу Statistics and Probability with Applications for Engineers and Scientists Using MINITAB, R and JMP - Bhisham C. Gupta, Irwin Guttman - Страница 1
Оглавление
Предыдущая
Следующая
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
...
130
Оглавление
Купить и скачать книгу
Вернуться на страницу книги Statistics and Probability with Applications for Engineers and Scientists Using MINITAB, R and JMP
Оглавление
Страница 1
Table of Contents
List of Tables
List of Illustrations
Guide
Pages
Statistics and Probability with Applications for Engineers and Scientists Using Minitab, R and JMP
Copyright
Страница 9
Страница 10
Страница 11
Acknowledgments
About The Companion Site
Chapter 1 Introduction
1.1 Designed Experiment
1.1.1 Motivation for the Study
1.1.2 Investigation
1.1.3 Changing Criteria
1.1.4 A Summary of the Various Phases of the Investigation Phase a
Phase b
Phase c
Phase d
Phase e
1.2 A Survey
1.3 An Observational Study
1.4 A Set of Historical Data
1.5 A Brief Description of What is Covered in this Book
Страница 28
Chapter 2 Describing Data Graphically and Numerically
Topics Covered
Learning Outcomes
2.1 Getting Started with Statistics 2.1.1 What Is Statistics?
2.1.2 Population and Sample in a Statistical Study
Definition 2.1.1
Definition 2.1.2
Definition 2.1.3
Definition 2.1.4
Definition 2.1.5
Definition 2.1.6
Definition 2.1.7
2.2 Classification of Various Types of Data
2.2.1 Nominal Data
2.2.2 Ordinal Data
2.2.3 Interval Data
2.2.4 Ratio Data
PRACTICE PROBLEMS FOR SECTIONS 2.1 AND 2.2
2.3 Frequency Distribution Tables for Qualitative and Quantitative Data
2.3.1 Qualitative Data
Solution: MINITAB
2.3.2 Quantitative Data
MINITAB
PRACTICE PROBLEMS FOR SECTION 2.3
2.4 Graphical Description of Qualitative and Quantitative Data 2.4.1 Dot Plot
2.4.2 Pie Chart
2.4.3 Bar Chart
2.4.4 Histograms
Definition 2.4.1
MINITAB
2.4.5 Line Graph
2.4.6 Stem‐and‐Leaf Plot
Definition 2.4.2
MINITAB
PRACTICE PROBLEMS FOR SECTION 2.4
2.5 Numerical Measures of Quantitative Data
Definition 2.5.1
Definition 2.5.2
2.5.1 Measures of Centrality
Mean
Median
Solution:
Solution:
Weighted Mean
Mode
Definition 2.5.3
Definition 2.5.4
Definition 2.5.5
2.5.2 Measures of Dispersion
Range
Variance
Standard Deviation
Empirical Rule
MINITAB
PRACTICE PROBLEMS FOR SECTION 2.5
2.6 Numerical Measures of Grouped Data
Definition 2.6.1
2.6.1 Mean of a Grouped Data
2.6.2 Median of a Grouped Data
2.6.3 Mode of a Grouped Data
2.6.4 Variance of a Grouped Data
PRACTICE PROBLEMS FOR SECTION 2.6
2.7 Measures of Relative Position
2.7.1 Percentiles
2.7.2 Quartiles
2.7.3 Interquartile Range (IQR)
2.7.4 Coefficient of Variation
MINITAB
2.8 Box‐Whisker Plot
2.8.1 Construction of a Box Plot
2.8.2 How to Use the Box Plot About the Outliers
About the Shape of the Distribution
MINITAB
PRACTICE PROBLEMS FOR SECTIONS 2.7 AND 2.8
2.9 Measures of Association
MINITAB:
PRACTICE PROBLEMS FOR SECTION 2.9
2.10 Case Studies
2.10.1 About St. Luke's Hospital
2.11 Using JMP
Review Practice Problems
Notes
Chapter 3 Elements of Probability
Topics Covered
Learning Outcomes
3.1 Introduction
3.2 Random Experiments, Sample Spaces, and Events 3.2.1 Random Experiments and Sample Spaces
3.2.2 Events
3.3 Concepts of Probability
PRACTICE PROBLEMS FOR SECTIONS 3.2 AND 3.3
3.4 Techniques of Counting Sample Points
3.4.1 Tree Diagram
3.4.2 Permutations
3.4.3 Combinations
3.4.4 Arrangements of
n
Objects Involving Several Kinds of Objects
PRACTICE PROBLEMS FOR SECTION 3.4
3.5 Conditional Probability
3.6 Bayes's Theorem
PRACTICE PROBLEMS FOR SECTIONS 3.5 AND 3.6
3.7 Introducing Random Variables
Review Practice Problems
{buyButton}
Подняться наверх