Site oficial IBM SPSS

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site com muita info. e documentação para o SPSS

What is IBM SPSS?

What if you could get deeper, more meaningful insights from your data and predict what is likely to happen next? IBM SPSS predictive analytics software offers advanced techniques in an easy-to-use package to help you find new opportunities, improve efficiency and minimize risk.

Learn how customers are using IBM SPSS

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Statistical analysis and reporting

Address the entire analytical process: planning, data collection, analysis, reporting, and deployment.

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Predictive modeling and data mining

Use powerful model-building, evaluation, and automation capabilities.

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Decision management and deployment

Activate your analytics with advanced model management and analytic decision management on prem, on cloud or as hybrid.

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Big data analytics

Analyze big data to gain predictive insights and build effective business strategies.

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Os portugueses durante o euro com dados do multibanco

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Um bom exemplo da utilização de dados para inferir comportamentos mas a parte das coincidências de valores era dispensável

Como conquistámos o Euro 2016 através do Multibanco (com infografia)

Publicado em: 20/07/2016 – 19:11:26

À hora da final entre Portugal e França, o país parou… e os levantamentos também! Conheça esta e outras curiosidades que marcaram o comportamento dos portugueses com a rede Multibanco à medida que os 23 magníficos conquistavam o Europeu 2016

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why predicting a mass shooting is impossible

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Excelente exemplo na previsão de acontecimentos raros

This cartoon explains why predicting a mass shooting is impossible

It’s simple math.

Updated by and on June 15, 2016, 10:30 a.m. ET

In the wake of mass shootings, many people wonder how they could have been prevented. Were there warning signs that should have been heeded? Was the person mentally ill? Did he or she hold extremist views?

The sad truth is that the only personal factors that reliably correlate with mass shooters are being young and male. There are a lot of young, angsty men in this country. That makes prediction hard.

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Big Data to Fight Cancer

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Exemplo de aplicação de técnicas de análise de dados a problemas de medicina

MD Anderson is sitting on 23 petabytes of data, including more than 2 billion diagnostic radiology images, generated by its massive IT infrastructure. But Chris Belmont, vice president and CIO, isn’t intimidated by the amount of data—he’s just scared of staring at it too long.

“Our biggest fear when we decided to move into Big Data was that, like many healthcare organizations, we’d have a two-year data ‘ingestion’ process where we’d keep thinking about that massive set of data, and connect all our systems big and small together, go get even more data from external sources, and then eventually offer our users an add-on tool and tell them to go at it,” Belmont says. “By the time we’d be done ingesting all that data, the time to change the game in terms of costs or population health would have already passed.”

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UK Data Service

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Bom site com muitos data sets de grande dimensão. Assuntos relacionados com censos e inquéritos.

Explore the UK’s largest collection of social, economic and population data resources.

See more

Video tutorials

See our growing range of training videos

Data types

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national numeracy

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Um site sobre literacia numérica no reino unido

What is
the issue?

Low levels of numeracy are a long-term problem for the UK.

1. Numeracy skills have got worse, not better

Proportion of working age adults in England with skills levels equivalent to GCSE “C” grade or above

2. High numeracy is connected to better…

3. The UK risks becoming less competitive internationally

Raynald’s SPSS Tools

Reynald SPSS

Bons recursos sobre SPSS e ligação com R e Pyton

Raynald’s SPSS Tools

The collection of syntaxes, macros, scripts and hints for better solutions of data management and data analysis problems in IBM SPSS Statistics

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Straightforward Statistics Videos

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Montes de vídeos sobre todos os temas abordados em P&E

Video and Multimedia

Click on the following links. Please note these will open in a new window.

Descriptive Versus Inferential Statistics
https://www.youtube.com/watch?v=edEXEyvG4Wk
Illustrates the differential purposes served by descriptive and inferential techniques in conducting statistical analyses.

https://www.youtube.com/watch?v=L6hy1CY-OW4
Practical examples of descriptive and inferential statistics

https://www.youtube.com/watch?v=be9e-Q-jC-0
Simple Random Sampling, Convenience Sampling, Systematic Sampling, Cluster Sampling, Stratified Sampling

Types of Variables
https://www.youtube.com/watch?v=hZxnzfnt5v8
Describes the concepts of; a) unit of observation and b) variables and consequently the differences amongst the three major levels of measurement of variables, nominal, ordinal and interval/ratio.

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INTRODUCTORY STATISTICS book

http://www.psychstat.missouristate.edu/IntroBook3/sbk.htm

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Um webBook sobre estatística com exercícios e exemplos em SPSS

INTRODUCTORY STATISTICS:
CONCEPTS, MODELS, AND APPLICATIONS

3rd Web Edition

David W. Stockburger

Missouri State University

@Copyright 2013 by David W. Stockburger

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Earliest Known Uses of Words of Mathematics

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um curioso site onde se registam os significados mais antigos para termos matemáticos

These pages attempt to show the first uses of various words used in mathematics. Research for these pages is ongoing, and a citation should not be assumed to be the earliest use unless it is indicated as such.

Mathematical Words: Origins and Sources by John Aldrich is an excellent article and companion to this web site.

Please see also Earliest Uses of Various Mathematical Symbols, Images of Mathematicians on Postage Stamps, and Ambiguously Defined Mathematical Terms at the High School Level.

These pages are maintained by Jeff Miller, a teacher at Gulf High School in New Port Richey, Florida. The principal contributors are John Aldrich, Julio González Cabillón, Carlos César de Araújo, and James A. Landau. Other contributors are Manoel de Campos Almeida, Antranig Basman, Dave Cohen, John Conway, Martin Davis, Karen Dee Michalowicz, Joanne M. Despres of Merriam-Webster Inc., Bill Dubuque, Mark Dunn, John G. Fauvel, Walter Felscher, Giovanni Ferraro, Tom Foregger, Michael N. Fried, John Harper, Antreas P. Hatzipolakis, Barnabas Hughes, Samuel S. Kutler, Franz Lemmermeyer, Avinoam Mann, Peter M. Neumann, Ken Pledger, Paul Pollack, Jim Propp, Aldo I. Ramirez, Lee Rudolph, Randy K. Schwartz, Max Urchs, Tom Walsh, William C. Waterhouse, and David Wilkins.

“Perhaps I may without immodesty lay claim to the appellation of Mathematical Adam, as I believe that I have given more names (passed into general circulation) of the creatures of mathematical reason than all the other mathematicians of the age combined.” —James Joseph Sylvester, Nature 37 (1888), p. 152.

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