Introductory Statistics
By Stephen A. McGuire. Technometrics, 2007
854 citations recorded by the source corpus.
nerd, needed childrearing advice, he turned to scientific research to make the big decisions. In Parentology, Conley hilariously reports the results of those experiments, from bribing his kids to do math (since studies show conditional cash transfers improved educational and health outcomes for kids) to teaching them impulse control by giving them weird names (because evidence shows kids with unique names learn not to react when their peers tease them) to getting a vasectomy (because fewer kids in a family mean smarter kids). Conley encourages parents to draw on the latest data to rear children, if only because that level of engagement with kids will produce solid and happy ones. Ultimately these experiments are very loving, and the outcomes are redemptive—even when Conley’s sassy kids show him the limits of his profession. Parentology teaches you everything you need to know about the latest literature on parenting—with lessons that go down easy. You’ll be laughing and learning at the same time. The text provides comprehensive coverage of foundational research and core biology concepts through an evolutionary lens. Biology for AP® Courses was designed to meet and exceed the requirements of the College Board’s AP® Biology framework while allowing significant flexibility for instructors. Each section of the book includes an introduction based on the AP® curriculum and includes rich features that engage students in scientific practice and AP® test preparation; it also highlights careers and research opportunities in biological sciences. Comprehensive and easy to read, this authoritative resource features the most up-to-date, research-based blend of practice and theory related to the issues that impact nursing management and leadership today. Key topics include the nursing professional’s role in law and ethics, staffing and scheduling, delegation, cultural considerations, care management, human resources, outcomes management, safe work environments, preventing employee injury, and time and stress management. Research Notes in each chapter summarize relevant nursing leadership and management studies and show how research findings can be applied in practice. Leadership and Management Behavior boxes in each chapter highlight the performance and conduct expected of nurse leaders, managers, and executives. Leading and Managing Defined boxes in each chapter list key terminology related to leadership and management, and their definitions. Case Studies at the end of each chapter present real-world leadership and management situations and illustrate how key chapter concepts can be applied to actual practice. Critical Thinking Questions at the end of each chapter present clinical situations followed by critical thinking questions that allow you to reflect on and critical The is suitable for a one- or two-semester course. Comprehensive in its coverage, Weiss's meticulous style offers careful, detailed explanations to ease the learning process. With more than 1,000 data sets and more than 2,600 exercises, most using real data, this takes a data-driven approach that encourages students to apply their knowledge and develop statistical literacy. Introductory Statistics, contains parallel presentation of critical-value and p-value approaches to hypothesis testing. This unique design allows both the flexibility to concentrate on one approach or the opportunity for greater depth in comparing the two. This continues the book's tradition of being on the cutting edge of statistical pedagogy, technology, and data analysis. It includes hundreds of new and updated exercises with real data from journals, magazines, and websites. and for this are available here. pedagogy, data analysis accessible to all students. KEY TOPICS: Introduction to Data; Picturing Variation with Graphs; Numerical Summaries of Centre and Variation; Regression Analysis: Exploring Associations between Variables; Modelling Variation with Probability; Modeling Random Events: The Normal and Binomial Models; Survey Sampling and Inference; Hypothesis Testing for Population Proportions; Inferring Population Means; Associations between Categorical Variables; Multiple Comparisons and Analysis of Variance; Experimental Design: Controlling Variation; Inference without Normality;Inference for Regression MARKET: A textbook for all introductory statistics courses
Subfields: Applied Mathematics, Statistics and Probability
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Citations in the corpus
- Patterns of mast fruiting of common beech, sessile and common oak, Norway spruce and Scots pine in Central and Northern Europe (2016, methodology): “We then tested the differences between the periodsMF using the Wilcoxon rank test (Wonnacott and Wonnacott, 1985) with the NPAR1WAY procedure in SAS 9.3 (2014) because MF data was not normally distributed.”
- A new approach to classification based on association rule mining (2006, neutral): “Thus, we could test the significance of the accuracy mean difference for any two algorithms by approximately constructing a confidence interval at a given confidence level [6,18].”
- Effects of weather conditions on mast year frequency in beech ( Fagus sylvatica L.) in Sweden (2007, methodology): “D ow nloaded from https://academ ic.oup.com /forestry/article-abstract/80/5/555/659304 by guest on 13 January 2019 ( Wonnacott and Wonnacott, 1985 ) and pair-wise comparisons by the general linear model (GLM) procedure as implemented in MINITAB (Minitab Inc., State College, PA, USA).”
- A Simple Two-Sample Bayesian t-Test for Hypothesis Testing (2015, neutral): “es of freedom v = n1 + n2 − 2, where t1−α/2,v is the (1 − α/2) quantile of Tv distribution and T has the Tv distribution. We reject the null hypothesis H0 if either |t| > t1−α/2,v or p < α; see Weiss (2012). Bayesian approaches to hypothesis testing have recently received considerable attentio”
- Open-source Multi-speaker Speech Corpora for Building Gujarati, Kannada, Malayalam, Marathi, Tamil and Telugu Speech Synthesis Systems (2020, methodology): “Each mean opinion score (shown in bold) is shown along with the corresponding confidence interval statistics at 95% confidence level (Wonnacott and Wonnacott, 1990) computed using the recommendations in (Recommendation ITU-T P.1401, 2012).”
- Estimation and forecasting in models with multiple breaks (2007, methodology): “Using the numbers in Table 2, the standard Chi-squared statistics for testing for Uniformity [e.g., Wonnacott and Wonnacott (1990), pages 550-551] are 9.5, 9.5 and 12.0 for our model, the TVP and the one break model, respectively.”