What is the role of computer in statistics?
It can help to create the statistics. Sometimes it is difficult to know the statistics are there if you do not see them on the computer.
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Statistical officers have many responsibilities including checkingsource data. They may also be responsible for check code data andcompile reports and charts to receive analys…is.
Statistics (tests, and not just summarized data) really does one basic thing. When I design and carry out some experimental model, clearly it is to see if the treatments that… I have done (treatments can be literally any intended, measurable manipulation of the subjects) will produce the effects that I predict. After I do the experiment and gather up all the data, how do I decide if my 'treatment' was in fact effective? With statistics, I have a reasonable way to answer the question.. Again, in the broadest possible terms: I can create an imaginary computer version of my experimental model [scientists don't actually have to do this every time they do a study; it's already been done] and then put the computer to work randomly generating values for imaginary subjects. Why would I do this? You can see that if I do this with, say the same number of imaginary subjects as I have in my live study, and I do it (on the computer) over and over again, thousands or tens of thousands of times, I will get a wide variety of "results" out of the computer. Most of the results will show nothing of particular interest. A small number of results will "show" very clear significant results in the direction that I would want, and a small number would clearly be significant in the 'wrong' direction (remember, we are just looking at data).. But by comparing my actual results with the computer model, I am able to say some objective things about my hypothesis. I might be able to say, for example, "The computer model data that resembles or is better than my real data only happens 5% of the time! This means that if my treatment is completely meaningless and has no affect at all, [like the completely random data generated by the computer] and if I were able to do this exact experiment the very same way 100 times, I would expect to get results that "look" this good only about 5 times out of the 100, by nothing but chance . This would represent a confidence level of 95%. I am not certain beyond all possible doubt that my treatment produced the results, but I can actually quantify my degree of certainty, and this method of establishing confidence is understood by fellow researchers.
BACKGROUND\n. \nThe role of statistics in food epidemiology provides a method to follow and interpret trends in a given population for a given source. \n. \nData is collect…ed from a specific group in a specific environment to numerically quantify and graphically illustrate the study of a given population while permitting anonymity for those who prefer. \n. \nTypically, trends are often observed through graphs. Data may be plotted on an x y axis and a line/curve is drawn between the points to average test results. Depending on the complexity of the study, z + may also be included. Once data has been acquired, mathematical modeling can assist in predicting velocity for food borne outbreaks. When points scatter outside the trend it is considered an outlier and may or may not be used as an indicator for further investigative studies. \n. \nA statistical analysis may take the following factors into consideration:\n. \nENVIRONMENT\n1. weather (cross pollination via wind; alterations in pH via rain, ...........)\n2. terrain (mineral composition and oxygen flow affects pH; mountains or rivers may prevent interbreeding of species....)\n3. native organisms: invasive vs symbiotic; insects, fungus, restless kids, etc.. \n4. native species: possible source of nourishment for crops and animals\n5. hydroponics vs soil vs container method vs dry farm vs field vs greenhouse vs.....\n6. irrigation: artesian well vs public or private reservoir/canal vs null source vs ....\n7. fertilization : organic or inorganic, regional vs imported, force fed vs.......\n8. sterilization techniques of slaughterhouse and laboratories\n9. processing: sorting and packaging facilities and their employees \n10. storage and final delivery to consumer.\n11.....\n. \nGENETICS\n1. origin of seed, roots, cutting, graft.....\n2. Genetically Modified Organism (GMO) or Genetically Engineered Organism (GEO)? \n3. in vitro or in vivo? \n4. social environment: organism raised stress free? free range/caged? .....\n5. general health (bovine): breast fed or prefab transfer of immunological components? \n6. immunization: antibiotics/vaccines; sensitization/desensitization\n7. tendency for invasion of vectors (mosquitos?)\n8....\n. \n. \nFICTIONAL EXAMPLE\n. \nA neighborhood of busy folks prefer to spend their leisure time relaxing rather than doing dishes (saves water too!)\n. \nIn the area, there happens to be only one place that offers vegetarian takeout. The most popular item on the menu is a beautiful side order of partially blossomed broccoli, made to order, ingredients produced locally.\n. \nFor the longest time, everyone is happy because the food tastes great, the price is right and the rich, cold pressed oil acts to satiate the appetite so one feels full after consumption.\n. \nAn initial cohort study for this local population produces no remarkable results.\n. \nTime passes by, quality remains up to par, and a review is conducted. The only condition that changes is time. No notable differences from the original study.\n. \nSoon word spreads, and the demand for this side dish skyrockets. Owner purchases the surplus of to go boxes from a neighboring restaurant. The chef hires additional staff and their local farm vendor now has to keep up... \n. \nThe restaurant begins ordering from another source. Chef is overworked and starts to grant greater responsibility to apprentice. The kitchen may forget to soap up one day, the host may "accidentally" sneeze on an irate guest's order and a bright fluorescent green worm may find its way home. \n. \nAnother assistant is hired. Mysterious epidermal lesions occasionally appear on his hand and he sometimes forgets to wear gloves while chopping broccoli. He travels often.\n. \nA final study is conducted and intriguing outliers emerge due to:\n. \n1. development of food allergies from repetitive consumption of dish\n2. food poisoning from possible bacterial infection due to improper food handling\n3. emission of toxic gases from reheating using inappropriate containers \n4. irregular eating habits, including meal replacement and non-traditional food pairing\n5. ........\n. \nThe owner is notified of the results, quality is resumed, customers are happy and the stat team is awarded further funding to continue to explore the most interesting outlier...
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For decades, biostatistics has played an integral role in modern medicine in everything from analyzing data to determining if a treatment will work to developing clinical tria…ls. The School of Global Public Health defines biostatistics as "the science of obtaining, analyzing and interpreting data in order to understand and improve human health." Virtually any medical research study uses biostatistics from beginning to end. "Statisticians help medical researchers design studies, decide what data to collect, analyze data from medical experiments, help interpret the results of the analyses, and collaborate in writing articles to describe the results of medical research." To make it even plainer: biostatistics helps researchers make sense of all the data collected to decide whether a treatment is working or to find factors that contribute to diseases. As such, it is important that statistics are used in medicine in order to justify the development and subsequent use of a particular drug or treatment; as well as identifying in the first place whether it is having the desired effect at all. At the heart of the use of statistics in medicine is the seemingly insurmountable problem that everybody is different. Not only in a psychological sense, but a physiological sense too. While human beings may share similar organs, tissues and chemical compounds; how they are bonded, how we are composed and the effects different drugs have on the individual can be radically different from one person to the next. Therefore, to measure the effectiveness of any form of medication, it is important to run trials where a wide variety of subjects are administered the drug. Firstly, this helps gage the effectiveness of the medicine when compared to, for example, a placebo. Subsequent statistical analysis can also give medical professionals and pharmaceutical companies the information they need to judge whether the medicine is an effective treatment for the majority of patients; and whether it is a cost-effective solution to a particular ailment.
Statistics is used to design the experiment (what type of data needs to be obtained and how much), then statistics is used to analyze the data (make inferences and draw conclu…sions).
In today's world we are faced with situation everyday where statistic applied.Statistics can be used to determine the potential outcome of thousands of things where the human …mind alone wouldn't be able to.Statistics benefits all of us because we are able to predict the future based on data we have previously gathered.Being able to predict the future not only changes our lifestyle but only help us be more efficient and effective.
inferential statistics tries to infer from the sample data what the population might think. They can use inferential statistics to make judgments of the probability that an ob…served difference between groups is a dependable one or one that might have happened by chance in a study. Business Statistics is the science of good decision making in the face of uncertainty and is used in many disciplines such as financial analysis, econometrics, auditing, production and operations including services improvement, and marketing research. These sources feature regular repetitive publication of series of data. This makes the topic of time series especially important for business statistics. It is also a branch of applied statistics working mostly on data collected as a by-product of doing business or by government agencies. It provides knowledge and skills to interpret and use statistical techniques in a variety of business applications. A typical business statistics course is intended for business majors, and covers statistical study, descriptive statistics (collection, description, analysis, and summary of data), probability, and the binomial and normal distributions, test of hypotheses and confidence intervals, linear regression, and correlation. Role of Statistics in Economic: Economic statistics is a branch of applied statistics focusing on the collection, processing, compilation and dissemination of statistics concerning the economy of a region, a country or a group of countries. Economic statistics is also referred as a subtopic of official statistics, since most of the economic statistics are produced by official organizations (e.g. statistical institutes, supranational organizations, central banks, ministries, etc.). Economic statistics provide the empirical data needed in economic research (econometrics) and they are the basis for decision and economic policy making. Econometric: Econometrics is concerned with the tasks of developing and applying quantitative or statistical methods to the study and elucidation of economic principles. Econometrics combines economic theory with statistics to analyze and test economic relationships. Statisticians are concerned that the business world does not regard statistical literacy, or statisticians, as important. Little progress has been made in spreading the belief in the power of statistics to the non-statistical. This problem is as strong in the context of supporting organizational and product quality improvement as it is elsewhere. We summarize the effect of Genichi Taguchi's work on industrial experimentation, as well as developments in the use of statistical process control, statistical reliability requirements and other statistical approaches to quality. The effect of developments in quality systems standards, such as BS EN ISO 9000, the European Business Excellence Award Model and the Baldrige Award, are also discussed. We argue that statisticians' attitudes to non-statisticians and the use of their discipline will have to change if statistics is to realize its potential in supporting quality improvement. Re-education is necessary not just for the non-statistician but for the statistical community as well. Statisticians are concerned that the business world does not regard statistical literacy, or statisticians, as important. Little progress has been made in spreading the belief in the power of statistics to the non-statistical. This problem is as strong in the context of supporting organizational and product quality improvement as it is elsewhere. We summarize the effect of Genichi Taguchi's work on industrial experimentation, as well as developments in the use of statistical process control, statistical reliability requirements and other statistical approaches to quality. The effect of developments in quality systems standards, such as BS EN ISO 9000, the European Business Excellence Award Model and the Baldrige Award, are also discussed. We argue that statisticians' attitudes to non-statisticians and the use of their discipline will have to change if statistics is to realize its potential in supporting quality improvement.
Mostly used by business analysts to help end-users perform statistical analysis.
Role of Statistics starts when we are interested in getting information from the data we are having. Making research we can generate data. But most of the time looking simply …at the data it is very much tough to draw any conclusion. On analysing data we can get information. this information help in drawing conclusions and also helps in taking useful decisions. Data in the real world subjected to have errors. Only statistical analysis is feasible for error affected data, because when there the question of erroneous data comes in most case Mathematics (rather say Non-statistical mathematics??) fails. Nobdody can ignore the role of statistics in modern world. In present days theory of statistics is applied in every field of science say it is medical science, agricultural science physiology, geology or any other science.
Statistics is the science of collecting, organizing, processing , analyzing and interpreting data. Through statistics, we can get meaningful information out of massive amount …of data for communication and research. Statisticians are the people with extensive training and advance degrees who have the authority to treat, describe and make inference out of the data collected. They are the ones also who can explain what the data mean for consumers. Statistics, therefore, is vital for communication because it can describe data in a meaninful way by describing the population or sample, related one variable to another, make estimates or predictions, test hypotheses and make wise decisions.
what is the rules and roles of statistical data in computer science ?
Over the past few years the EU has begun taking some steps against the spread of nuclear weapons within its Common Foreign and Security Policy (CFSP). At the Thessaloniki Summ…it June 2003, the European Council adopted its first draft Strategy against the proliferation of Weapons of Mass Destruction (WMD). In order to assess the significance of the Strategy, this paper will first present and evaluate the Union's record in the field, then review the newly released Strategy, and finally make suggestions as to how it can be improved. The EU is not an unitary actor in the nuclear non-proliferation domain,
design of experiment uses statistical techniques to test and construct models of engineering component and system
Statistics is a general field of numeric quantities and what they represent. For example, a statistic may be inferential or descriptive. Inferential statistics are special kin…ds of statistics that use sampling distributions to make inferences from a sample to a population of interest (hopefully that the sample represents). The inferences are more or less valid based on how well one meets the assumptions of a statistical method/model and how robust a statistical method is with respect to violations of an assumption.
Statistical analysis is essential to identifying the critical factors in simulation. Performing the analysis of variance is to ensure the proper selection of significant facto…rs. With this, understanding and judgment become more effective in making appropriate decisions regarding the product and process designs. The purpose of statistical analysis is to determine the normal (probable) behavior of a simulation and distinguish it from abnormal (improbable) behavior of a system. In other words, we want to distinguish what happens commonly from what merely happens by chance. For example, if our simulation models traffic and a truck flips over on the freeway, a statistical analysis would determine whether such an accident happens often or if this was simply an unlucky day for the driver and the accident happened by chance.
Analysis of statisctic data allows to evaluate the current healthlevel of a bussiness and ecconomy as well as it helps to predictthe possible future of a bussiness and economy….