Statsoft Southern Africa Research supplies STATISTICA software to the Department of Health and the entire Wits Health Faculty which includes MRC (Medical Research Council) who also specialize in collecting data for HIV/AIDS related research.
Below is a detailed technical report containing analytics and the HIV/AIDS forecast for South Africa.
In his presentation last week, Minister of Health, Dr Aaron Motsoaledi, presented a troubling picture of the HIV epidemic showing our failure as a country to turn the tide against this unrelenting virus, Quoting data from STATS SA, Department of Health, Department of Home Affairs, World Health Organization, Medical Research Council, Human Science Research Council (HSRC) and a series of articles on Health in South Africa published in the prestigious medical journal The Lancet, he described how HIV has spread to every corner of our country, has impacted on TB and the health services, and dramatically shortened life expectancy. The central point was that an unacceptably large number of South Africans have not been able to realise their dream of a better life in a free and democratic South Africa due to the scourge of AIDS and that this situation cannot be allowed to continue any longer.
To see the rest of the full detailed technical report, please click here
Original Source: http://www.health-e.org.za
Ms Jennifer Bowler Lecturer in Industrial Psychology and Human Resources at Nelson Mandela Metropolitan University, testifies on her Statistica programme provided By Statsoft Southern Africa’s trainer Merle Weberlof and how it has benefited her.
” Personally, the two days were personally extremely beneficial. I had expected a “how to work with Statistica” and what I got was how to understand the relationship between research design, analytical tools and then how to do that in Statistica. I felt very sad last night that I had not been exposed to someone like Merle much earlier on in my research career- it would have saved me many, many hours of confusion and frustration. I am however, pleased to say that my nervousness regarding Statistica has been put to rest and I have clarified many issues regarding analysis and design.
I know that Merle was worried that she lost people at certain times and I would not presume to comment for the others but each one of the group was at different stages of personal development as far as research is concerned plus we had different disciplines represented- my sense was that each person took away something of value and application even if they could not understand and/or utilise all that was offered.
Thanks very much for accommodating us for the two days.
If there is anything else that you want feedback on – please let me know.
I hope that you had a good trip to CT ”
The only Internet Resource about Statistics Recommended by Encyclopedia Britannica
StatSoft has freely provided the Electronic Statistics Textbook as a public service for more than 17 years now.
This Textbook offers training in the understanding and application of statistics. The material was developed at the StatSoft R&D department based on many years of teaching undergraduate and graduate statistics courses and covers a wide variety of applications, including laboratory research (biomedical, agricultural, etc.), business statistics, credit scoring, forecasting, social science statistics and survey research, data mining, engineering and quality control applications, and many others.
The Electronic Textbook begins with an overview of the relevant elementary (pivotal) concepts and continues with a more in depth exploration of specific areas of statistics, organized by “modules” and accessible by buttons, representing classes of analytic techniques. A glossary of statistical terms and a list of references for further study are included.
(Electronic Version): StatSoft, Inc. (2011). Electronic Statistics Textbook. Tulsa, OK: StatSoft. WEB: http://www.statsoft.com/textbook/.
(Printed Version): Hill, T. & Lewicki, P. (2007). STATISTICS: Methods and Applications. StatSoft, Tulsa, OK.
Overview of Elementary Concepts in Statistics. In this introduction, we will briefly discuss those elementary statistical concepts that provide the necessary foundations for more specialized expertise in any area of statistical data analysis. The selected topics illustrate the basic assumptions of most statistical methods and/or have been demonstrated in research to be necessary components of one’s general understanding of the “quantitative nature” of reality (Nisbett, et al., 1987). Because of space limitations, we will focus mostly on the functional aspects of the concepts discussed and the presentation will be very short. Further information on each of those concepts can be found in the Introductory Overview and Examples sections of this manual and in statistical textbooks. Recommended introductory textbooks are: Kachigan (1986), and Runyon and Haber (1976); for a more advanced discussion of elementary theory and assumptions of statistics, see the classic books by Hays (1988), and Kendall and Stuart (1979).
As a result of the successful implementation of STATISTICA Enterprise quality monitoring and control systems at the Polish and Czech Pepsi plants, Pepsi Hungary has also started using a new SPC system based on STATISTICA Enterprise, customized according to local specific requirements. Hungarian Pepsi BU is wholly owned by PepsiCo after the merger of PAS & PBG & PepsiCo.Pepsi Hungary produces various brands of carbonated beverages like Pepsi, 7Up, and Mirinda.
“I can say that StatSoft’s user friendly software makes our life much easier.”
Mr. József Sinkó, Quality Assurance & Regulatory Manager
Mr. József Sinkó, quality assurance & regulatory manager at Pepsi Hungary said “We have chosen StatSoft’s solution for the effective assurance of the strict quality requirements of the production processes. The main requirements were that the SPC system should help us in monitoring and controlling product quality parameters, recognizing relationships and trends in time, and identifying sources of errors. Pepsi is also monitoring the machine capability and looking for to eliminate waste to ensure sustainability and decrease carbon footprint of the plant. Before introducing the new SPC system, it was a complicated and time-consuming task to perform analyses for longer periods of time or more parameters, because our old SPC system did not have the appropriate tools to find the necessary data easily and quickly. I can say that StatSoft’s user friendly software makes our life much easier.”
A number of quality parameters are measured during production including, the sugar concentration, carbon dioxide concentration, acidity and volume of the product, as well as the tightness of bottle caps. These are all monitored and controlled in the new SPC system. The quality parameters are calculated using different specifications for the different products.
Unlike the STATISTICA Enterprise solutions at the Polish and Czech Pepsi plants, where StatSoft developed a data collection system, the STATISTICA Enterprise SPC system implemented at Pepsi Hungary is connected to a third party data collection system that has been used at Pepsi Hungary for many years. The customized SPC system performs the statistical analyses and creates the analysis reports corresponding to the special user requirements, starting from data taken from the SQL database of the third party data collection system of Pepsi Hungary.
Mr. József Sinkó, quality assurance & regulatory manager pointed out: “We have had good experiences with the STATISTICA Enterprise SPC system since it was introduced in January, 2010. We are satisfied both with the support StatSoft provided to us during the planning stage, and the implemented system itself. The system meets our requirements in providing us with up-to-date, detailed reports that make quality assurance more effective. Using the new STATISTICA Enterprise SPC system the process capability indices can easily be calculated for a given day, week or any other selected period of time that provides us with a quick and detailed overview on the quality of production. Based on the quality results obtained for individual production lines and products, it is easy to decide where we should take remedial action. Using the science of SPC gives us the possibility to increase product quality and process capability, while the financial figures also improve.”
The main purpose of the new STATISTICA Enterprise SPC system is to support the daily decisions of the quality managers. The system:
• provides customized reports to obtain a general survey of the quality of production, and to identify problems and areas where development is required,
• provides flexible access to historical production data,
• allows for exhaustive individual analyses of data using a set of comprehensive analysis tools.
A planned next step of applying the STATISTICA Enterprise SPC system is to provide management with an automated daily report summarizing the quality results of Pepsi plant, and to increase the number of the SPC controlled data supporting sustainable growth of the company.