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Topic: Interpreting statistical data

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	Statistical Forecasting: Information & Resources on Statistics, Forecasting
		Statistical forecasting concentrates on using the past to predict the future by identifying trends, patterns and business drives within the data to develop a forecast.
		Statistical data analysis provides hands on experience to promote the use of statistical thinking and techniques to apply in order to make educated decisions in the business world.
		Statistical inference is refer to extending your knowledge obtain from a random sample from a population to the whole population.
	www.statisticalforecasting.com (948 words)

	Encyclopedia: Statistics
		Statistics is a type of data analysis which includes the planning, summarizing, and interpreting of observations of a system possibly followed by predicting or forecasting of future events based on a mathematical model of the system being observed.
		Statistics is a branch of applied mathematics specifically in the area of statistical theory which uses probability theory in the mathematical models.
		Statistics is a partial foundation of the relatively new field of data mining, which uses a combination of statistics, pattern recognition, artificial intelligence, and other algorithms to find meaningful information in large sets of data.
	www.nationmaster.com /encyclopedia/statistics (4213 words)

	Interpreting statistical data (Site not responding. Last check: 2007-10-14)
		Data and Statistical Services Data and Statistical Services is part of Princeton's Social Science Reference Center.
		Statistical methodology, design, and data analysis for government, commerce and industry.
		Statistical and Data Analysis Performs from basic data manipulations to the advanced statistical analyses, reports and charts.
	www.serebella.com /encyclopedia/article-Interpreting_statistical_data.html (446 words)

	Inferring From Data
		It is also an appropriate distribution for describing data corresponding to resonance behavior, such as the variation with energy of the cross section of a nuclear reaction or the variation with velocity of the absorption of radiation in the Mossbauer effect.
		Statistical inference is refer to extending your knowledge obtain from a random sample from a population to the whole population.
		The statistical bootstrap, which uses resampling from a given set of data to mimic the variability that produced the data in the first place, has a rather more dependable theoretical basis and can be a highly effective procedure for estimation of error quantities in statistical problems.
	home.ubalt.edu /ntsbarsh/stat-data/Topics.htm (16064 words)

	Statistical Data Analysis (Site not responding. Last check: 2007-10-14)
		Statistics is a set of methods that are used to collect, analyze, present, and interpret data.
		In a statistical hypothesis test, the P value is the probability of observing a test statistic at least as extreme as the value actually observed, assuming that the null hypothesis is true.
		What distinguishes data mining from conventional statistical data analysis is that data mining is usually done for the purpose of "secondary analysis" aimed at finding unsuspected relationships unrelated to the purposes for which the data were originally collected.
	obelia.jde.aca.mmu.ac.uk /resdesgn/arsham/opre330.htm (16286 words)

	Statistical inference (Site not responding. Last check: 2007-10-14)
		Journal of Statistical Planning and Inference (Elsevier) Tables of contents of all volumes.
		Data and Inference, Inc. Provides data management, analysis and computer assistance in such fields as pharmaceutical, medical, and engineering.
		Statistical Inference on the TI Problems and solutions about statistics for TI's, intended to supplement a general descriptive statistics course.
	www.serebella.com /encyclopedia/article-Statistical_inference.html (432 words)

	Statistics Explained
		Statistical analyses seem complicated, but they are really pretty simple.
		We gather data on a few and make “inferences” or estimates about a larger group that we did not measure.
		This is essentially the same as measuring the height of all the children in four third-grade classes in a city, and then based on these four classes, trying to describe the “average” height of all third graders in the city.
	goldmine.tamu.edu /statistics.html (591 words)

	interpreting statistical data (Site not responding. Last check: 2007-10-14)
		The topics below are usually included in the area of interpreting statistical data.
		There are several distinct schools of thought about the justification of statistical inference.
		All are based on some idea of what real world phenomena can be reasonably modeled as probability.
	www.yourencyclopedia.net /Interpreting_statistical_data.html (134 words)

	Statistical theory - Open Encyclopedia (Site not responding. Last check: 2007-10-14)
		Statistical models of the sources of data and typical problem formulation:
		Summarizing statistical data in conventional forms (also known as descriptive statistics)
		Interpreting statistical data is the final objective of all research:
	open-encyclopedia.com /Statistical_theory (58 words)

	Back: Interpreting Maps (Site not responding. Last check: 2007-10-14)
		Statistical data (also known as numerical or quantitative data) are frequently presented in the form of columns, charts, tables, or graphs that describe the amounts of something: warships, marriages, schools, or deaths from smallpox.
		Often numerical data will be given for different periods of time so that comparisons can be made (for example, the number of British warships in 1820, 1860, and 1900).
		When data about the past are sufficient and reliable, more complex mathematical operations can be performed (percentages, equations, and so on) that often bring to light previously unknown and at times unexpected facts about the past.
	www.bedfordstmartins.com /history/benjamin/content/page11.htm (134 words)

	Interpreting the Statistical Data (Site not responding. Last check: 2007-10-14)
		Sometimes it is better to have a high value for a variable, sometimes a low value, and other times it may be better to be towards the middle of the range of values achieved by the world's best divers.
		However, even for these variables, the values can be useful in providing an indication of change over a period of time or observing whether a diver is performing a dive in a consistent manner.
		The duration of the hurdle flight is related to the height achieved in the hurdle.
	www.coachesinfo.com /category/diving/35 (1618 words)

	Citations: A support system for interpreting statistical data - Hoschka, Klosgen (ResearchIndex)
		....similar to powerful statistical data exploration systems, while others essentially seek to put the capacity for extracting knowledge from data in the hands of the domain expert rather than a professional data analyst.
		Database Issues A database is an integrated collection of data maintained in one or more files, organized to facilitate the efficient storage, modification, and retrieval of related information [Date, 1977]....
		KDW is ideal for exploratory data analysis by a user knowledgeable in both data and operation of discovery tools.
	citeseer.ist.psu.edu /context/203862/0 (1983 words)

	Pitfalls of Data Analysis (Site not responding. Last check: 2007-10-14)
		We are all familiar with the disparaging quotes about statistics (including "There are three kinds of lies: lies, damned lies, and statistics", attributed to either Mark Twain or Disraeli, depending on whom you ask), and it's no secret that many people harbor a vague distrust of statistics as commonly used.
		The core value of statistical methodology is its ability to assist one in making inferences about a large group (a population) based on observations of a smaller subset of that group (a sample).
		This is one of the most fundamental tenets of inferential statistics: the observed sample must be representative of the target population in order for inferences to be valid.
	my.execpc.com /4A/B7/helberg/pitfalls (4269 words)

	Vermont Department of Human Resources - Job Specifications
		Technical, statistical and research work for the Department of Labor (DOL) involving the gathering, organization, analysis and interpretation of a wide variety of labor market data.
		Analyzes and interprets statistical data and prepares written reports of analyses including supporting tables and conclusions.
		Experience: Two years in statistical data collection and analysis where the activities include research, gathering, analyzing, and interpreting statistical data.
	www.vermontpersonnel.org /employee/specs.php?id=231300 (411 words)

	Statistical Data Analysis (Site not responding. Last check: 2007-10-14)
		Statistics consists of an array of methodologies to describe and interpret data accurately.
		Statistics is now used in many fields of human endeavor: from agriculture to zoology, as well as medicine and epidemiology, accounting and integrated circuit manufacturing, and a whole host of other applications, including deciding the authorship of disputed Federalist papers, and as evidence in law courts.
		observed in the data they are interpreting can be attributed to chance variation alone, or whether something substantive is taking place.
	www.farwestresearch.com /statdata.html (220 words)

	TexaSoft Tutorial - p-value, Statistics Software, Research
		In most of these kinds of studies, results are commonly summarized by a statistical test, and a decision about the significance of the result is based on a p-value.
		The WINKS Statistical Data Analysis program reports a calculated t = -2.65 with 22 degrees of freedom, and a p-value of 0.0147.
		A low p-value for the statistical test points to rejection of the null hypothesis because it indicates how unlikely it is that a test statistic as extreme as or more extreme than the one given by this data will be observed from this population if the null hypothesis is true.
	www.texasoft.com /pvalue.html (745 words)

	Statistics:Statistical Data
		Collecting, presenting and interpreting information or data are activities that are of extreme importance in today's "information age".
		Then remove "5" and "6" from the data and calculate the mean and median.
		There is only a small number of data so instead of drawing a cumulative frequency histogram the data can be grouped to find the median, lower quartile and upper quartile.
	www.staff.vu.edu.au /mcaonline/units/statistics/statistics.html (360 words)

	Planning statistical research - TheBestLinks.com - Design of experiments, Interpreting statistical data, Observational ...
		Sometimes, our interest in a Unit may be purely instrumental, that is, we are interested in the Unit because of a population to which it belongs or an environment in which it resides.
		Our desire to describe a population may be satisfied by a statistical report on a sample from that population.
		The methodology is to select a sample and observe just the Units which are selected and then to summarize our results and interpret their meaning for the population.
	www.thebestlinks.com /Planning_statistical_research.html (432 words)

	Applying and Interpreting Object-oreinted Metrics
		Interpretation guidelines are then discussed and data from NASA projects are used to demonstrate the application of the metrics.
		While there are many guidelines as to how to interpret the metrics, there is insufficient statistical data to prove that a value of 8 for one metric is twice as complex or twice as "bad" as a value of 4.
		The SATC therefore, proposes interpretation guidelines based on a comparison of the values, looking at the outliers to determine why they are different from the other modules of code.
	satc.gsfc.nasa.gov /support/STC_APR98/apply_oo/apply_oo.html (5253 words)

	Interpreting the Statistical Data (Site not responding. Last check: 2007-10-14)
		Sometimes it is better to have a high value for a variable, sometimes a low value, and other times it may be better to be towards the middle of the range of values achieved by the world's best divers.
		However, even for these variables, the values can be useful in providing an indication of change over a period of time or observing whether a diver is performing a dive in a consistent manner.
		The duration of the hurdle flight is related to the height achieved in the hurdle.
	coachesinfo.com /category/diving/35 (1600 words)

	O'Reilly - Safari Books Online - 0596009429 - Baseball Hacks
		Players are acquired based on their performance in statistical categories that ownership deems most important.
		The real meat of this work is teaching the reader how to build his or her own data bases free of charge by importing information from various websites.
		Chapter 4, Visualize Baseball Statistics - R is a free data analysis and visualization tool.
	safari.oreilly.com /0596009429 (2178 words)

	Interpreting statistical data : The Sassy Lawyer’s Journal
		The National Statistics Office (NSO) national indicators poverty survey is the suject of at least four media reports.
		Funny that after reading them all, I noticed that depending on which parts of the survey were reported, and how, I am left with different impressions.
		ABS-CBN News begins with the same data then proceeds to compare statistics, in percentages, between âpoorâ and ânon-poorâ familes.
	www.sassylawyer.com /2005/09/23/interpreting-statistical-data (319 words)

	Software by Gary King
		Zelig: Everyone's Statistical Software, by Kosuke Imai, Gary King, and Olivia Lau, is a complete statistical package and framework for statistical inference that can estimate, help interpret, and present the results from, a large range of statistical methods.
		This implements statistical procedures described in a series of journal articles and has been used during redistricting in many states by judges, partisans, governments, private citizens, and many others.
		The Virtual Data Center Project, An operational, open-source, digital library to enable the sharing of quantitative research data, and the development of distributed virtual collections of data and documentation.
	gking.harvard.edu /stats.shtml (1080 words)

	Interpreting statistical data (Site not responding. Last check: 2007-10-14)
		A more formal name forthis topic is statistical inference.
		Statistical inference is inference about a population from a random sample drawn from it or, more generally,about a random process from its observed behavior during a finite period of time.
		All are based on some idea ofwhat real world phenomena can be reasonably modeled as probability.
	www.therfcc.org /interpreting-statistical-data-127892.html (98 words)

	Statistical inference -- Facts, Info, and Encyclopedia article (Site not responding. Last check: 2007-10-14)
		Statistical inference -- Facts, Info, and Encyclopedia article
		(Click link for more info and facts about planning statistical research) planning statistical research -- (Click link for more info and facts about summarizing statistical data) summarizing statistical data
		All are based on some idea of what real world phenomena can be reasonably modeled as (A measure of how likely it is that some event will occur) probability.
	www.absoluteastronomy.com /encyclopedia/s/st/statistical_inference.htm (297 words)

	Interpreting Statistical Software Error Messages
		Most statistical software packages are completely dependent upon the user regarding the selection and implementation of the correct model to analyze.
		Some common errors in model specification include the use of interactions without replication, the use of interactions with incomplete or missing data, and the misuse of nested models.
		The model as specified was correctly fit to the data, so no error messages are seen by the user.
	www.camo.com /rt/Resources/infodoc/Error_Messages.html (393 words)

	Learn more about Statistical inference in the online encyclopedia. (Site not responding. Last check: 2007-10-14)
		Learn more about Statistical inference in the online encyclopedia.
		Hint: Play with putting spaces before and after your words to see the different results you get.
		Statistical inference is inference about a population from a random sample drawn from it or, more generally, about a random process from its observed behavior during a finite period of time.
	www.onlineencyclopedia.org /s/st/statistical_inference_1.html (183 words)

	Statistical Data Mining Tutorials (Site not responding. Last check: 2007-10-14)
		Gaussians, both the friendly univariate kind, and the slightly-reticent-but-nice-when-you-get-to-know-them multivariate kind are extremely useful in many parts of statistical data mining, including many data mining models in which the underlying data assumption is highly non-Gaussian.
		Over a century old, this form of data mining is still being used very intensively by statisticians and machine learners alike.
		PAC stands for "Probably Approximately Correct" and concerns a nice formalism for deciding how much data you need to collect in order for a given classifier to achieve a given probability of correct predictions on a given fraction of future test data.
	www.autonlab.org /tutorials (2967 words)

	EPC Data Analysis - interpreting EPC data, interpreting RFID data, managing RFID data (Site not responding. Last check: 2007-10-14)
		Take RFID read event data from retail suppliers and run it through T3Ci software production routines to generate large amounts of statistical information and reports related to the patterns and flows of cases in the retail supply chain.
		T3Ci, the leading RFID analytics and applications company, develops and markets software and subscription services for leaders of RFID initiatives at major retail suppliers, major retailers and pharmaceutical companies who are responsible for delivering business value from their company's RFID investment.
		T3Ci's enterprise-class solutions are based upon its understanding of EPC data and include: RFID data analysis services and software, deductions management and authentication/ e-pedigree, all designed to add RFID value.
	www.t3ci.com /company/careers.html (357 words)

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