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Understanding statistics

Xem 1-20 trên 240 kết quả Understanding statistics
  • A well-developed physics conceptual test that can be a diagnostic, a misconception, or a summative test best suited to the science major will help educators determine the level of physics understanding of the prospective science teachers at public and private high schools. This paper synthesizes the development and validation of conceptual test instruments in various physics subjects for the undergraduate level.

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  • Part 1 of ebook "Clinical data analysis on a pocket calculator: Understanding the scientific methods of statistical reasoning and hypothesis testing (Second edition)" provides readers with contents including: Chapter 1 - Data spread, standard deviations; Chapter 2 - Data summaries, histograms, wide and narrow gaussian curves; Chapter 3 - Null-hypothesis testing with graphs; Chapter 4 - Null-hypothesis testing with the T-table; Chapter 5 - One-sample continuous data (One-sample T-test, One-sample Wilcoxon test); Chapter 6 - Paired continuous data (Paired T-test, Wilcoxon signed rank test); C...

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  • Part 2 of ebook "Clinical data analysis on a pocket calculator: Understanding the scientific methods of statistical reasoning and hypothesis testing (Second edition)" provides readers with contents including: Chapter 27 - Robust tests for imperfect data; Chapter 28 - Non-linear modeling on a pocket calculator; Chapter 29 - Fuzzy modeling for imprecise and incomplete data; Chapter 30 - Bhattacharya modeling for unmasking hidden Gaussian curves; Chapter 31 - Item response modeling instead of classical linear analysis of questionnaires; Chapter 32 - Meta-analysis of continuous data; Chapter 33...

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  • Given the increasing prevalence of the physician burnout, this study provides new insights into the antecedents driving burnout and turnover intent. By introducing the concept of physician fortitude, we develop a valid and statistically-reliable measure that increases our understanding of these issues.

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  • In this book you will find the basics of probability theory and statistics. In addition, there are several topics that go somewhat beyond the basics but that ought to be present in an introductory course: simulation, the Poisson process, the law of large numbers, and the central limit theorem. Computers have brought many changes in statistics. In particular, the bootstrap has earned its place. It provides the possibility to derive confidence intervals and perform tests of hypotheses where traditional (normal approximation or large sample) methods are inappropriate.

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  • This book presents the basic concepts of probability in a simple, straightforward, easy-to-understand way. It does require, however, a knowledge of arithmetic (fractions, decimals, and percents) and a knowledge of basic algebra (formulas, exponents, order of operations, etc.). If you need a review of these concepts, you can consult another of my books in this series entitled Pre-Algebra Demystified.

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  • his study attempted to examine the relationship between lean production (LP) and three dimensions which are transportation, quality and communication. This study employed quantitative study using questionnaire. Data was collected from 45 employees that chosen by expertise in production and the data was analyzed using Statistical Package of Social Science (SPSS). This study hoped to make new understanding on the important to apply lean concept in production management.

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  • Ebook "Viscoelasticity of polymers: Theory and numerical algorithms" offers a comprehensive introduction to polymer rheology with a focus on the viscoelastic characterization of polymeric materials. It contains various numerical algorithms for the processing of viscoelastic data, from basic principles to advanced examples which are hard to find in the existing literature.

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  • In this study, our overall goal is to characterize spatial attributes of neighborhood trees by applying the current techniques of nearest neighbor statistics. For a better understanding of structural units, we three structural units for each species analyses, such as mingling - index, mingling - dominance and dominance uniform angle index.

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  • Ebook "Control and prediction of solid-state of pharmaceuticals: Experimental and computational approaches" investigates a range of experimental and computational approaches for the discovery of solid forms. Furthermore, we gain, as readers, a better understanding of the key factors underpinning solid-structure and diversity. A major part of this thesis highlights experimental work carried out on two structurally very similar compounds.

    pdf267p tudohanhtau1006 29-03-2024 4 1   Download

  • Ebook "Statistical complexity: Applications in electronic structure" is the first monograph of its kind covering the aspects of complexity measure in atoms and molecules. The understanding of electron density as the carrier of all the information of a multielectronic system is implicit in the theorems of density functional theory. Information theoretical based measures giving a quantitative understanding of statistical complexity of such systems is shaping up as a new area of research in chemical physics.

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  • This study was conducted with the aim of investigating the study habits of students and their changes in this time to help learners understand their study habits and make some suitable adjustments to reach academic success.

    pdf6p vigojek 02-02-2024 4 2   Download

  • Part 1 book "Mader's reptile and amphibian medicine and surgery" includes content: Reference resources for the herpetological clinician, understanding the human herp relationship, environmental lighting, the importance of herpetological publication by clinicians and academics, statistics for the clinician scientist, general husbandry and management,... and other contents.

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  • Ebook Sams teach yourself: Big data analytics with Microsoft HDInsight in 24 hours includes contents: Part I: Understanding big data, Hadoop 1.0, and 2.0; Part II: Getting started with HDInsight and understanding its different components; Part III: Programming mapreduce and HDInsight script action; Part IV: Querying and processing big data in HDInsight; Part V: Managing Workflow and Performing Statistical Computing; Part VI: Performing interactive analytics and machine learning; Part VII: Performing real-time analytics.

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  • Ebook "Asia Pacific financial markets in comparative perspective: Issues and implications for the 21st century" is to provide some background on the various financial market segments of the Asian Pacific region. An understanding of institutional detail (size and scope) of the relevant markets affords a view that lends or detracts from the credibility of intermarket comparisons. An exposure and understanding of institutional detail supplies information that may bear on the statistical results of the empirical analysis.

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  • Ebook "Statistics for big data for dummies" includes content: Introduction, what is big data and what do you do with it, characteristics of big data; using big data - the hot applications, understanding probabilities, understanding probabilities, preparing and cleaning data, checking assumptions,... and other contents.

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  • Lecture Business research methods (12/e) - Chapter 16: Exploring, displaying, and examining data. After studying this chapter you will be able to understand: That exploratory data analysis techniques provide insights and data diagnostics by emphasizing visual representations of the data; how cross-tabulation is used to examine relationships involving categorical variables, serves as a framework for later statistical testing, and makes an efficient tool for data visualization and later decision-making.

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  • Lecture Business research methods (12/e) - Chapter 17: Hypothesis testing. After studying this chapter you will be able to understand: The nature and logic of hypothesis testing, a statistically significant difference, the six-step hypothesis testing procedure, the differences between parametric and nonparametric tests and when to use each, the factors that influence the selection of an appropriate test of statistical significance, how to interpret the various test statistics.

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  • Ebook A modern introduction to probability and statistics: Understanding why and how - Part 1 presents the following content: Chapter 1 why probability and statistics? chapter 2 outcomes, events, and probability, chapter 3 conditional probability and independence, chapter 4 discrete random variables, chapter 5 continuous random variables, chapter 6 simulation, chapter 7 expectation and variance, chapter 8 computations with random variables, chapter 9 joint distributions and independence, chapter 10 covariance and correlation, chapter 11 more computations with more random variables, chapter ...

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  • Ebook A modern introduction to probability and statistics: Understanding why and how - Part 1 presents the following content: Chapter 17 basic statistical models, chapter 18 the bootstrap, chapter 19 unbiased estimators, chapter 20 efficiency and mean squared error, chapter 21 maximum likelihood, chapter 22 the method of least squares, chapter 23 confidence intervals for the mean, chapter 24 more on confidence intervals, chapter 25 testing hypotheses: essentials, chapter 26 testing hypotheses: elaboration, chapter 27 the t-test, chapter 28 comparing two samples.

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