The American Statistical Association is the world’s largest community of statisticians, the “Big Tent for Statistics.” It is the second-oldest, continuously operating professional association in the country. Since it was founded in Boston in 1839, the ASA has supported excellence in the development, application, and dissemination of statistical science through meetings, publications, membership services, education, accreditation, and advocacy.
This table lists data mining companies and organizations whose details have been checked.
Our mission is to promote data science to improve life, business and government. Our guiding principles set the aspirations that we endeavor to achieve:
•Setting standards for the ethical professional practice of data science.
•Assuring base-level data scientist competency.
•Advancing data science to serve core values of the scientific method and noblesse oblige.
•Helping to shape a better future - not just for the powerful, but for the majority of people.
We reaffirm our dedication to taking a more visible leadership role in supporting the industry by responding to and advocating for the needs of the larger analytics community as it evolves. This reflects our commitment to continually evolve as an organization. The association is dedicated to growing along with the industry to reflect the needs of our members. We are sharpening the focus of the Digital Analytics Association’s activities based on the needs of our unique business community. We are improving pre-existing programs and adding new ones that cater to multi-channel data analytics.
IIBA® is the non-profit professional association dedicated to the field of business analysis. Through a global network, IIBA connects over 29,000+ Members and more than 300 Corporate Members and 120 Chapters. As the voice of the business analysis community, IIBA supports the recognition of the profession and discipline and works to maintain the global standard for the practices and certification.
This is a list of non-profit associations and organizations of interest to the professional business analyst and systems analyst and other IT professionals involved in business analysis or systems analysis. The list contains several organizations that may be of interest along with links to their websites.
This is another listing of links to association and organization websites that may be of interest to the business analytics community.
Predictive models have emerged to help guide businesses. Actuaries serve an important role with predictive analytics by using modeling and data analysis techniques on large data sets to discover predictive patterns and relationships for business use. The actuarial profession has been actively advancing the use of predictive analytics methods in its work. Actuaries have been fast to collect and transform big data into useful information to glean future tendencies and patterns.
Although it is named "SPSS Tutorials," there is a great deal of information about how statistical tests work that goes beyond SPSS. Created by Kent State University Statistical Consultations.
Section 1: Intro to the SPSS Environment:
Section 2: Working with Data covers data manipulation and cleaning of all kinds.
Section 3: Exploring the Data.
Section 4: Analyzing the Data. This section incorporates hypothesis testing.
Data is the raw ingredient(s) from which statistics are created. Statistics are useful when you just need a few numbers to support an argument (ex. In 2003, 98.2% of American households had a television set--from Statistical Abstract of the United States). Statistics are usually presented in tables. Statistical analysis can be performed on data to show relationships among the variables collected. Through secondary data analysis, many different researchers can re-use the same data set for different purposes.
Aggregate/Macro Data vs. Microdata
Aggregate or Macro Data are higher-level data that have been compiled from smaller units of data. For example, the Census data that you find on Explore Census Data have been aggregated to preserve the confidentiality of individual respondents. Microdata contain individual cases, usually individual people, or in the case of Census data, individual households. The Integrated Public Use Microdata Sample (IPUMS) for the Census provides access to the actual survey data from the Census, but eliminates information that would identify individuals.
Data Sets, Studies, and Series
In data archives, a data set or study is made up of the raw data file and any related files, usually the codebook and setup files. The codebook is your guide to making sense of the raw data. For survey data, the codebook usually contains the actual questionnaire and the values for the responses to each question. The setup files help will not display properly.
Types of Data
Cross-Sectional describes data that are only collected once.
Time Series study the same variable over time. The National Health Interview Survey is an example of time series data because the questions generally remain the same over time, but the individual respondents vary.
Longitudinal Studies describe surveys that are conducted repeatedly, in which the same group of respondents are surveyed each time. This allows for examining changes over the life course. The Project on Human Development in Chicago Neighborhoods (PHDCN) Series contains a longitudinal component that tracks changes in the lives of individuals over time through interviews.
(Originally from Sue Erickson at Vanderbilt University)
R is a language and environment for statistical computing and graphics which provides a wide variety of statistical techniques, including linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, etc. The program uses graphical techniques, and is highly extensible. R is similar to the S language and environment developed at Bell Laboratories (now Lucent Technologies), and most S code also runs in R.
R is available as Free Software under the terms of the Free Software Foundation’s GNU General Public License in source code form. It compiles and runs on a wide variety of platforms, including Window,s MacOS, UNIX, FreeBSD, and Linux.
Tutorials - Paired Sample T Test
Tutorials - One Sample T Test
Tutorials from Universities
Tutorials - Independent Samples T-Test
Tutorials - One-Way ANOVA
Tutorials - More One-Way ANOVA
Tutorials - Chi Square