Probability and statistics EBook

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Um bom ebook com boas animações

SOCR Books: This is a General Statistics Curriculum E-Book, which includes Advanced-Placement (AP) materials.

Contents

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Seeing Statistics

clique na imagem para seguir o linkUma excelente maneira de aprender estatística com um webBook dinâmico e muito visual

Seeing Statistics ® is a new approach to teaching statistics using the World Wide Web. This webbook is based on three premises:

  • The important principles of statistics are remarkably easy if they can be seen.
  • Active involvement of the student facilitates learning.
  • Statistics can be fun!

Most of the graphs and figures in this textbook are dynamic and under the  control of the reader. Interacting with the graphs allows you to see the important statistical principles in action.

Rather than talk about it, it is best to view Seeing Statistics in action. To access Seeing Statistics, click on the “Enter Seeing Statistics” button to begin your exploration of Seeing Statistics!

Table of Contents
0. Introduction

1. Data & Comparisons

2. Seeing Data

3. Describing the Center

4. Describing the Spread

5. Seeing Data, Again

6. Probability

7. Normal Distribution
7. Outline

7.0 Introduction

7.1 Origins of Normal

7.2 Size and Shape

7.3 Working with the Normal

7.4 Means have Normal Distributions

7.5 Evaluating Normality (optional)

7.6 Review

7.7 Exercises


8. Inference & Confidence

9. One-Sample Comparisons

10. Two-Sample Comparisons

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SurfStat

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Um bom livro on-line com apps e muito mais…

SURFSTAT australia
This site has already benefited from the contributions of many people. Please do your bit and let us know of errors, missing topics or things you think could be better explained.

Detailed contents
An introduction to Statistics

Textbooks
Hotlist for Java applets
Exercises

Other Statistics sites
S.P.I.M

Sales and support
Licence
Funding acknowledgements


Summarising & Presenting Data


Producing Data


Variation and Probability


Statistical Inference


Control Charts

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Random Probability, Mathematical Statistics, Stochastic Processes

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Um site organizado por temas como um livro com apps interessantes

Welcome!

Random (formerly Virtual Laboratories in Probability and Statistics) is a website devoted to probability, mathematical statistics, and stochastic processes, and is intended for teachers and students of these subjects. The site consists of an integrated set of components that includes expository text, interactive web apps, data sets, biographical sketches, and an object library. Please read the Introduction for more information about the content, structure, mathematical prerequisites, technologies, and organization of the project. Random is hosted at two sites: www.math.uah.edu/stat/ and www.randomservices.org/stat/. For updates, please follow @randomservices on Twitter.

Basic Information

Expository Chapters

  1. Foundations
  2. Probability Spaces
  3. Distributions
  4. Expected Value
  5. Special Distributions
  6. Random Samples
  7. Point Estimation
  8. Set Estimation
  9. Hypothesis Testing
  10. Geometric Models
  11. Bernoulli Trials
  12. Finite Sampling Models
  13. Games of Chance
  14. The Poisson Process
  15. Renewal Processes
  16. Stochastic Processes
  17. Markov Chains
  18. Brownian Motion

Ancillary Materials

Support and Navigation

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Rice Virtual Lab in Statistics Demos

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Pequenas apps em java para demonstrar diferentes temas em estatística

Mean and Median

Sampling Distribution Simulation

Confidence Intervals

Normal Approximation to the Binomial Distribution

Confidence Interval on a Proportion

Components of r

Regression by Eye

Restriction of Range

Repeated Measures

A “Small” Effect Size Can Make a Large Difference

Chi Square Test of Deviations from Expected Frequencies

2 x 2 Contingency Tables

Reliability and Regression Analysis

Histograms, Bin Widths, and Cross Validation

Transformations

Regression to the mean

Comparing distributions

Unequal n ANOVA and Types of Sums of Squares

Robustness of t test and ANOVA

One-way ANOVA

Two-way ANOVA

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The Sports Data Page

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Alguns links para páginas com dados sobre desportos

Links listed below were collected to help students and instructors find current and archived sports data.

Send ideas for additional links to add to Robin Lock at rlock@stlawu.edu .

Data from Current and Past Seasons

Horse Racing

  • Kentucky Derby Data on races since 1875.
  • Major League Baseball

  • Major League Baseball Statistics – Current sortable statistics in lots of categories.
  • USA Today – Stats for individuals from 1992.
  • Baseball Reference – lookup extensive stats for current and former players.
  • National Hockey League

  • NHLPA – A very well-organized site sponsored by the NHL Player’s Association. Find individual regular season and playoff stats for all players (and salaries), with links to each player’s bio and career stats.
  • NHL.com – Current player and team statistics.
  • NCAA College Hockey

    National Football League

  • Current NFL Team & Player Stats from the official NFL website.
  • Sortable Player Stats at CBS Sportsline
  • NFL Statistics at USA Today Current season’s data.
  • National Basketball Association

  • Doug’s NBA Statistics – Team and individual data going back to 1988 with raw data in convenient downloadable spreadsheets.
  • Professional Golf

    • PGA Tour – Individual statistics for golfers on the PGA, Senior PGA, or Nike tours. Click on the Stats option for rankings within lots of categories or the Players option to sample from current professional golfers..

    Soccer

    Game Boxscores

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    Census Bureau Projects U.S

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    Estatísticas oficiais dos EUA

    BUSINESS & INDUSTRY
    Help With Your Forms
    Economic Indicators
    Economic Census
    E-Stats
    International Trade
    Export Codes
    NAICS
    Governments
    Local Employment Dynamics
    Survey of Business Owners
    PEOPLE & HOUSEHOLDS
    SPECIAL TOPICS

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    What WWW Data Sources Do STUDENTS Choose?

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    Conjuntos de dados usados numa cadeira com um projeto semelhante a P&E

    Here are some of the links to data found by students for projects in Robin Lock’s courses at St. Lawrence University
    Note:  Some links may no longer be current.

    Non-Sports Themes

    Sports Themes (Note: Data may change as new seasons occur)

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    CHANCE data sets

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    Dados para utilizar em trabalhos…

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    Chance Lecture Video Series

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    Bons vídeos ainda q antigos de alguns temas em probabilidade e estatística

    This page has links to:

  • 2000 Chance Lecture Video Series
  • 1998 Chance Lecture Video Series
  • 1997 Chance Lecture Video Series
  • Chance Workshop Video Lectures
  • Other Videos
  • Audios
  • The talks featured below require the latest version of the Realplayer software. More particularly, they require that the “Realplayer plug-in” be installed in the plug-ins folder of your browser. If you do not have the “Realplayer plug-in,” a free version of Realplayer (which includes the plug-in) is available here

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