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About our team

Senior contributing authors

Barbara Illowsky De Anza College
Susan Dean De Anza College

University of oklahoma contributors

Alexander Holmes Regent's Professor of Economics University of Oklahoma
Kevin Hadley Analyst, Federal Reserve Bank of Kansas City
Mathew Price Research Assistant, University of Oklahoma

Preface to openstax college's introductory statistics: university of oklahoma custom edition

Alexander Holmes

OpenStax College’s Introductory Statistics by senior contributing writers Barbara Illowsky and Susan Dean is a complete text in itself and thus the creation of a custom edition requires some rationale for all the effort that went into its creation.

This custom edition for the University of Oklahoma builds directly upon Introductory Statistics and maintains, for the most part, the structure of the material. Only does the order of the latter chapters on the Chi squared distribution and the F distribution change. The discrete probability density functions have been reordered in what is felt helps provide a logical development of probability density functions from simple counting formulas to more complex continuous distributions. What has been preserved and is a true foundation stone of both texts are the homework assignments and examples. Many additional homework assignments have been added and new examples that use a more mathematical approach are in the new text, but the wealth of examples, mostly with answers, are critical to student success and a keystone to the OU’s custom edition of Introductory Statistics .

What differentiates this text from its foundation document grows out of a difference in philosophy toward the use of mathematical formulas. The significant and important work of the foundation text to help students master the Texas Instruments calculator has been discarded. All required calculations are within the capability of a $2.00 calculator, until regression, correlation and ANOVA, of course. It is my belief that students lose much if they do not see the formulas in action and develop a “feel” for what they are doing with the data. This requires additional material that helps students understand the combinatorial formula and factorials as well as sigma notation otherwise carried by the calculator. This difference in perspective then changes the acceptance/rejection rule for hypothesis testing to comparisons between calculated test statistics verse p-values. The terminology of confidence intervals, and the process of finding probabilities also changes including now the reliance upon statistical tables not required when probabilities are produced by the TI-83, 83+, 84 or 84+.

Laying more emphasis on the development of the mathematical formulas requires a closer link to the fundamental theorem of inferential statistics, the Central Limit Theorem. This relationship is developed in the foundation text and given its proper critical role in statistical theory. The OU custom edition of Introductory Statistics repeats this link in each section for each test statistic developed; test for proportions, for differences in means and differences in proportions.

Perhaps the greatest difference in the two texts is in the development of regression and correlation analysis. This arises from the second important philosophical perspective the custom edition emphasizes; the link between statistical inference and the scientific method. As an Economist, regression is the tool toward which this whole text is directed although this text is directed more broadly than toward Economics majors. Economics models are fundamentally grounded in assumed relationships of cause and effect. They are developed to both test hypotheses about cause and effect and to predict from such models. This comes from the belief that statistics is the gatekeeper allowing some theories to remain and others to be cast aside for a new perspective of the world around us. This philosophical view is presented in detail throughout and informs the method of presenting the regression model, in particular.

The original correlation and regression chapter has been essentially replaced and dramatically expanded to include confidence intervals for predictions, alternative mathematical forms to allow for testing categorical variables, and the presentation of the multiple regression model.

This OU custom edition Introductory Statistics owes much to the work of Dr. Illowsky and Ms. Dean in OpenStax College’s Introductory Statistics and it is hereby acknowledged with thanks. Indeed, even in their title they foreshadow the creation of this text.

Questions & Answers

how to know photocatalytic properties of tio2 nanoparticles...what to do now
Akash Reply
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s. Reply
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s.
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Mostly, they use nano carbon for electronics and for materials to be strengthened.
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Yeah, it is a pain to say the least. You basically have to heat the substarte up to around 1000 degrees celcius then pass phosphene gas over top of it, which is explosive and toxic by the way, under very low pressure.
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of graphene you mean?
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in general
s.
Graphene has a hexagonal structure
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Cied
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Cied
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abeetha Reply
I start with an easy one. carbon nanotubes woven into a long filament like a string
Porter
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Yasmin
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Cesar
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Uday
what is nanomaterials​ and their applications of sensors.
Ramkumar Reply
what is nano technology
Sravani Reply
what is system testing?
AMJAD
preparation of nanomaterial
Victor Reply
Yes, Nanotechnology has a very fast field of applications and their is always something new to do with it...
Himanshu Reply
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AMJAD
what is system testing
AMJAD
what is the application of nanotechnology?
Stotaw
In this morden time nanotechnology used in many field . 1-Electronics-manufacturad IC ,RAM,MRAM,solar panel etc 2-Helth and Medical-Nanomedicine,Drug Dilivery for cancer treatment etc 3- Atomobile -MEMS, Coating on car etc. and may other field for details you can check at Google
Azam
anybody can imagine what will be happen after 100 years from now in nano tech world
Prasenjit
after 100 year this will be not nanotechnology maybe this technology name will be change . maybe aftet 100 year . we work on electron lable practically about its properties and behaviour by the different instruments
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name doesn't matter , whatever it will be change... I'm taking about effect on circumstances of the microscopic world
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silver nanoparticles could handle the job?
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this technology will not going on for the long time , so I'm thinking about femtotechnology 10^-15
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Source:  OpenStax, Business statistics -- bsta 200 -- humber college -- version 2016reva -- draft 2016-04-04. OpenStax CNX. Apr 05, 2016 Download for free at http://legacy.cnx.org/content/col11969/1.5
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