Area of a Normal Distribution Wolfram Demonstrations Eric Schulz

Fuente: Demonstrations.Wolfram.com

How to Navigate Projects in Minitab 17 Minitab Inc

Click on image

Fuente: MinitabInc

Análisis de la Varianza ANOVA

Fuente: Ishtaki

Statistics for Research by Shirley Dowdy, Stanley Wearden and Daniel Chilko

Table of Contents
1. The Role of Statistics
2. Populations, Samples, and Probability Distributions
3. Binomial Distributions
4. Poisson Distributions
5. Chi-Square Distributions
6. Sampling Distribution of Averages
7. Normal Distributions
8. Student’s t Distribution
9. Distributions of Two Variables
10. Techniques for One-way Analysis of Variance
11. The Analysis-of-Variance Model
12. Other Analysis-of-Variance Designs
13. Analysis of Covariance
14. Multiple Regression and Correlation
Appendix of Useful Tables
Answers to Most Odd-Numbered Exercises and All Review Exercises
Index

Pruebas de Hipótesis - Distribución Normal Error tipo I - Probabilidad Estadística

Clic en la imagen

Por tratarse de un problema donde los consumidores afirman que el llenado de botellas es Menor que lo especificado en las botellas, esta es una prueba de una sola cola, diferenciandose de una prueba de dos colas, en donde en la tabla normal se trabaja con 0,05/2 para tener una confianza del 95% al rechazar o sea donde la posibilidad de cometer un error del tipo I sea del 5%.

Fuente: José Barreto

Probability and Statistics Schaum´s easy outlines by Murray R. Spiegel, John Schiller and R. Alu Srinivasan

Table of Contents
Chapter 1 Basic Probability
Chapter 2 Descriptive Statistics
Chapter 3 Discrete Random Variables
Chapter 4 Continuous Random Variables
Chapter 5 Examples of Random Variables
Chapter 6 Sampling Theory
Chapter 7 Estimation Theory
Chapter 8 Test of Hypothesis and Significance
Chapter 9 Curve Fitting, Regression, and Correlation
Chapter 10 Other Probability Distributions
Appendix A Mathematical Topics
Appendix B Areas under the Standard Normal Curve from 0 to z
Appendix C Student’s t distribution
Appendix D Chi-Square Distribution
Appendix E 95th and 99th Percentile Values for the F Distribution
Appendix F Values of e−λ
Appendix G Random Numbers
Index

A Guide to Doing Statistics in Second Language Research Using SPSS by Jenifer Larson-Hall

Table of Contents
PART I
Statistical Ideas
1 Getting Started with SPSS and Using the Computer for Experimental Details
2 Some Preliminaries to Understanding Statistics
3 Describing Data Numerically and Graphically and Assessing Assumptions for Parametric Tests
4 Changing the Way We Do Statistics: Hypothesis Testing, Power, Effect Size, and Other Misunderstood Issues
PART II
Statistical Tests
5 Choosing a Statistical Test
6 Finding Relationships Using Correlation: Age of Learning
7 Looking for Groups of Explanatory Variables through Multiple Regression: Predicting Important Factors in First-Grade Reading
8 Finding Group Differences with Chi-Square when All Your Variables Are Categorical: The Effects of Interaction Feedback on Question Formation and the Choice of Copular Verb in Spanish
9 Looking for Differences between Two Means with T-Tests: Think-Aloud Methodology and Phonological Memory
10 Looking for Group Differences with a One-Way Analysis of Variance (ANOVA): Effects of Planning Time
11 Looking for Group Differences with Factorial Analysis of Variance (ANOVA) when There is More than One Independent Variable: Learning with Music
12 Looking for Group Differences when the Same People Are Tested More than Once Using Repeated-Measures ANOVA: Wug Tests and Instruction on French Gender
13 Factoring out Differences with Analysis of Covariance: The Effect of Feedback on French Gender
14 Statistics when Your Data Do Not Satisfy Parametric Assumptions: Non-Parametric Statistics

Statistical Process Control 6th Ed. by John S. Oakland

Table of Contents
Part 1 Process Understanding
1 Quality, processes and control
2 Understanding the process
3 Process data collection and presentation
Part 2 Process Variability
4 Variation: understanding and decision making
5 Variables and process variation
Part 3 Process Control
6 Process control using variables
7 Other types of control charts for variables
8 Process control by attributes
9 Cumulative sum (cusum) charts
Part 4 Process Capability
10 Process capability for variables and its measurement
Part 5 Process Improvement
11 Process problem solving and improvement
12 Managing out-of-control processes
13 Designing the statistical process control system
14 Six-sigma process quality
15 The implementation of statistical process control
Appendices

Statistical Methods for Practice and Research by Ajai S. Gaur and Sanjaya S. Gaur

Table of Contents
1. Introduction to SPSS
2. Basic Statistical Concepts
3. Summarizing Data: Descriptive Statistics
4. Comparing Means: One or Two Samples t-Tests
5. Comparing Means: Analysis of Variance
6. Chi-Square Test of Independence for Discrete Data
7. Correlation Analysis
8. Multiple Regression
9. Logistic Regression
10. Data Reduction and Scale Reliability: Factor Analysis
11. Advanced Data Handling in SPSS

Statistics Success in 20 Minutes a Day by Linda J.Young

Statistics Success in 20 Minutes a Day helps both novices and knowledgeable-but-rusty students gain practical skills in statistics. Structured as a series of 20 lesson plans, the book covers all major topics in this field, such as calculating a standard score, finding the margin of errors, and making informed decisions about experiments. Hundreds of jargon-free exercises provide essential practice in solving statistics problems. Test-takers also benefit from sections on additional resources and tips for preparing for standardized tests.

Contents
Introduction How to Use This Book
Pretest
Lesson 1
Populations, Samples, and Variables
Lesson 2
Studies
Lesson 3
Describing and Displaying Categorical Data
Lesson 4
Dotplots and Stem-and-Leaf Plots
Lesson 5
Measures of Central Tendency for Numerical Data
Lesson 6
Measures of Dispersion for Numerical Data
Lesson 7
Histograms and Boxplots
Lesson 8
Describing and Displaying Bivariate Data
Lesson 9
Basic Ideas in Probability
Lesson 10
Discrete Probability Distributions
Lesson 11
Continuous Probability Distributions
Lesson 12
Sampling Distributions and the t-Distribution
Lesson 13
The Law of Large Numbers and the Central Limit Theorem
Lesson 14
Sample Surveys
Lesson 15
Confidence Intervals for Proportions
Lesson 16
Hypothesis Testing for Proportions
Lesson 17
Confidence Intervals and Tests of Hypotheses for Means
Lesson 18
The Matched-Pairs Design and Comparing Two Treatment Means
Lesson 19
Confidence Intervals for Comparing Two Treatment or Population Means
Lesson 20
Analyzing Categorical Data
Posttest
Answer Key
Appendix How to Prepare for a Test

Statistical Aspects of the Microbiological Examination of Foods Basil Jarvis

Contents
Chapter 1
INTRODUCTION
Chapter 2
SOME BASIC STATISTICAL CONCEPTS
Chapter 3
FREQUENCY DISTRIBUTIONS
Chapter 4
THE DISTRIBUTION OF MICROORGANISMS IN FOODS IN RELATION TO SAMPLING
Chapter 5
STATISTICAL ASPECTS OF SAMPLING FOR MICROBIOLOGICAL ANALYSIS
Chapter 6
ERRORS IN THE PREPARATION OF LABORATORY SAMPLES FOR ANALYSIS
Chapter 7
ERRORS ASSOCIATED WITH COLONY COUNT PROCEDURES
Chapter 8
ERRORS ASSOCIATED WITH QUANTAL RESPONSE METHODS
Chapter 9
STATISTICAL CONSIDERATIONS OF OTHER METHODS IN QUANTITATIVE MICROBIOLOGY
Chapter 10
MEASUREMENT UNCERTAINTY IN MICROBIOLOGICAL ANALYSIS
Chapter 11
ESTIMATION OF MEASUREMENT UNCERTAINTY
Chapter 12
STATISTICAL PROCESS CONTROL USING MICROBIOLOGICAL DATA
Chapter 13
VALIDATION OF MICROBIOLOGICAL METHODS FOR FOOD
Chapter 14
RISK ASSESSMENT, FOOD SAFETY OBJECTIVES AND MICROBIOLOGICAL CRITERIA FOR FOODS

Estadística para Química Analítica Miller - Miller

Índice general
Capítulo 1
Introducción
Capítulo 2
Errores en el análisis clásico. Estadística de medidas repetidas
Capítulo 3
Pruebas de significación
Capítulo 4
Control de calidad y muestreo
Capítulo 5
Errores en análisis instrumental; regresión y correlación
Capítulo 6
Métodos no paramétricos y de ejecución rápida
Capítulo 7
Diseño experimental, optimización y reconocimiento de pautas