Application

The science useful in daily life

Discussion

The scientist are always discussing the latest discoveries

Experimental

The experiment is a structured methodology to determine the output by manipulating the input

News

Media to share information around the world

Great Web

Sabtu, 08 Januari 2011

A Guide for Selecting Statistical Techniques for Analizing Social Science Data

The title of the original manuscript of a book
translated is A Guide for Selecting
Statistical Techniques for Social Science Analizing
Data by author: Frank M. Andrew, Lauran
Clamps, Terrence N. Davidson, Patrick M.O. Malley and
Willard L. Rogers of the Survey Research Center -
Institute for Social Research, The University of
Michigan - USA.

A Guide for Selecting Statistical Techniques for Analizing Social Science Data.Pdf

Module Statistics Non-Mathematics

This module is intended to provide insight to students
of global statistics, for students in the course of lectures
already have an idea of the topics to be discussed in greater detail
in every meeting.
Today, the increasingly widespread application package program (software) that can
used to assist the process of computing statistics such as Excel, SPSS,
MINITAB, SAS, LISREL, AMOS, and much more.
All of them are a tool that allows statisticians or researchers in
calculation process and the appearance of statistical data. But to keep
The bottom line is that: No matter how the package programs have been
widely available, without a deep knowledge and understanding about
concepts underlying statistics, it could not
using these tools. Because behind every click, there is always a science
based.
Therefore, the courses STATISTICAL for non-math majors,
should not need a lot of stress and long teaching process
the calculations manually, or even a decrease in formula-the formula
mathematics. Planting a mature concept of the ideas underlying
Statistics are much more important. Use of package programs for computing
statistically it is not difficult if the student has the schools of Statistics....

Module Statistics Non-Mathematics.Pdf

Module Minitab

Minitab is a statistics package. It was developed at the Pennsylvania State University by researchers Barbara F. Ryan, Thomas A. Ryan, Jr., and Brian L. Joiner in 1972. Minitab began as a light version of OMNITAB, a statistical analysis program by NIST.

Minitab is distributed by Minitab Inc, a privately owned company headquartered in State College, Pennsylvania, with subsidiaries in Coventry, England (Minitab Ltd.) Paris, France (Minitab SARL) and Sydney, Australia (Minitab Pty.).

Today, Minitab is often used in conjunction with the implementation of Six Sigma, CMMI and other statistics-based process improvement methods.

Minitab 16, the latest version of the software, is available in 7 different languages (English, French, German, Japanese, Korean, Simplified Chinese, & Spanish).

Minitab produces two other products that complement Minitab 16. Quality Trainer; an eLearning package that teaches statistical tools and concepts in the context of quality improvement that integrates with Minitab 16 to simultaneously develop the user's statistical knowledge and ability to use the Minitab software; and Quality Companion 3, an integrated tool for managing Six Sigma and Lean Manufacturing projects that allows Minitab data to be combined with project management and governance tools and documents.

Module Minitab.Pdf