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Cause and Effect is a what could not what did. Its a theory chain

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Q: What is the only tool of the seven quality tools that is not based on statistics?
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What are the Tools used in descriptive statistics?

frequency distribution regression analysis measure of central tendency


Do qualitative skills include analytical tools such as statistics forecasting risk management and LEAN Six Sigma?

No/FALSE


What is meant by distrust of statistics?

It is a general belief that "statistics can prove anything." This statement is partly true and false. It is false because mere statistics should not be taken for granted without proper verification. It is true because statistics is often used by unscrupulous people to achieve their personal ends. This results in loss of faith or confidence on statistics or in causing distrust of statistics. Distrust of statistics literally means lack of trust in statistical data, statistical analysis and the conclusions derived from it. We often hear statements like. (i). Statistics is an unreliable science (ii). Statistics are lies of the first order. (iii). There are three type of lies-lies, damned lies and statistics. (iv). Figures do not lie, liars figure. These are expressions of distrust in statistics. These views of statistics stem from the misuse of statistics by the interested parties.Publicity, advertisers of various products, Governments and other organizations are trying to promote their sectional interest using statistics and statistical methods. This causes distrust of statistics. Some of the important reasons of distrust in statistics are the following: (a) Facts based on figures are more convincing. But these figures can be manipulated according to one's wishes. This misguides public causing distrust in statistics. (b) Sometimes statistical analyses are misinterpreted causing distrust in statistics. Supposing the mortality rates of patients are more in Indian hospitals. From this one may wrongly conclude that it is safer to treat the patients at home. This type of misinterpretation also causes distrust in statistics. Statistics are useful tools. One uses them according to his knowledge and experience. Use of statistics makes a statement more convincing. But its misuse causes distrust. So it is necessary that people should be adequately prepared to know the reality or to shift the truth from untruth, good statistics from bad statistics. WI. King has rightly observed "statistics are like clay of which you can make a 'God' or a 'Devil' as you please."


What are the scope of statistics?

Scope and importance of Statistics:1. Statistics and planning: Statistics in indispensable into planning in the modern age which is termed as "the age of planning". Almost all over the world the govt. are re-storing to planning for economic development.2. Statistics and economics: Statistical data and techniques of statistical analysis have to immensely useful involving economical problem. Such as wages, price, time series analysis, demand analysis.3. Statistics and business: Statistics is an irresponsible tool of production control. Business executive are relying more and more on statistical techniques for studying the much and desire of the valued customers.4. Statistics and industry: In industry statistics is widely used inequality control. In production engineering to find out whether the product is confirming to the specifications or not. Statistical tools, such as inspection plan, control chart etc.5. Statistics and mathematics: Statistics are intimately related recent advancements in statistical technique are the outcome of wide applications of mathematics.6. Statistics and modern science: In medical science the statistical tools for collection, presentation and analysis of observed facts relating to causes and incidence of dieses and the result of application various drugs and medicine are of great importance.7. Statistics, psychology and education: In education and physiology statistics has found wide application such as, determining or to determine the reliability and validity to a test, factor analysis etc.8. Statistics and war: In war the theory of decision function can be a great assistance to the military and personal to plan "maximum destruction with minimum effort."


What is the importance of statistics in the field of engineering?

To be able to keep parameters within a controlled process. For ISO certifications and process verifications. To follow guidelines set forth by criteria standards. To display what occurs given certain conditions. # Design of Experiments (DOE) uses statistical techniques to test and construct models of engineering components and systems. # Quality control and process control use statistics as a tool to manage conformance to specifications of manufacturing processes and their products. # Time and methods engineering uses statistics to study repetitive operations in manufacturing in order to set standards and find optimum (in some sense) manufacturing procedures. # Reliability engineering uses statistics to measures the ability of a system to perform for its intended function (and time) and has tools for improving performance. # Probabilistic design uses statistics in the use of probability in product and system design. That slice of information is from our friends at Wikipedia.

Related questions

Ishikawa Seven Basic Tools of Quality?

The Ishikawa diagram is one of the seven basic tools for quality control. The Ishikawa diagram is used to know why something has happened or why something will happen in a project. Excellent tool for Project Managers.


What is general statistics?

Statistics is a mathematical science pertaining to the collection, analysis, interpretation or explanation, and presentation of data.[1] Statisticians improve the quality of data with the design of experiments and survey sampling. Statistics also provides tools for prediction and forecasting using data and statistical models. Statistics is applicable to a wide variety of academic disciplines, including natural and social sciences, government, and business.^Based On Wikipedia...


What are the Tools used in inferential statistics?

In general in Descriptive Statistics we use tools like central tendency, dispersion, skew, kurtosis to summarize a given set of data. But inferential statistics is much boarder than it. In inferential l statistics we use tools like chi square test, ANOVA, ACOVA, Correlation, Regression, Factor Analysis etc to predict the behavior based on the sample data.


What is the rationale of studying statistics?

There are very many things in life where the outcome is uncertain. Studying statistics gives you the tools to make sense of the information, validate the information and helps you to make rational decisions based on statistics.


What are the tools and techniques of cost management?

Activity based Costing, Target costing, Just in Time,Total Quality Management,


What are the best quality tools you can buy?

There is no one company that has the best quality tools of every type. Snap-On has a good reputation for selling good tools but they're expensive.


Where can one find some good quality saw tools?

One can find some good quality saw tools by going to the Quality Saw and Supply website. The website has a number of saw tools that are available for purchased.


What techniques plus tools are used in inferential statistics?

There are many techniques. The main tools are human ingenuity, the human brain and calculators.


How can the quality of Crafstman Tools be maintained?

The quality of Craftsman brand tools can be maintained by taking care of the tools properly and by storing them properly. Keeping the tools out of the elements, such as rain and water, will keep them from rusting. Keeping the tools in a tool box will prevent accidental loss or accidental damage to the tools.


What are the key of total quality management?

Training – Employees should receive regular training on the methods and concepts of quality. Customer Focus – Improvements in quality should improve customer satisfaction. Continuous Improvement – Companies should continuously work towards improving manufacturing and quality procedures. Decision Making – Quality decisions should be made based on measurements. Methodology and Tools – Use of appropriate methodology and tools ensures that non-conformances are identified, measured and responded to consistently.


What are the best virtualization tools for Linux?

The top seven Virtualization tools for Linux are: Open VZ, Xen, Kernel-based Virtual Machine (KVM), Linux-VServer, VirtualBox, Bochs, and User Mode Linux (UML).


Why would you buy quality tools?

If you brought quality tools, you might find that they work better because they would be better quality, therefore buying not very good tools might not last as long because the materials might be weaker, and could eefect your building. :)