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Engage your mathematics students at the beginning of class with this whole-class warm-up activity. This product features a step-by-step lesson, assessment information, and a snapshot of what the warm-up looks like in the classroom.
Engage your mathematics students at the beginning of class with this whole-class warm-up activity. This product features a step-by-step lesson, assessment information, and a snapshot of what the warm-up looks like in the classroom.
Offers step-by-step lessons, assessment information, and a snapshot of what the math warm-up activities will look like in a classroom.
An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.
An intuitive, yet precise introduction to probability theory, stochastic processes, statistical inference, and probabilistic models used in science, engineering, economics, and related fields. This is the currently used textbook for an introductory probability course at the Massachusetts Institute of Technology, attended by a large number of undergraduate and graduate students, and for a leading online class on the subject. The book covers the fundamentals of probability theory (probabilistic models, discrete and continuous random variables, multiple random variables, and limit theorems), which are typically part of a first course on the subject. It also contains a number of more advanced topics, including transforms, sums of random variables, a fairly detailed introduction to Bernoulli, Poisson, and Markov processes, Bayesian inference, and an introduction to classical statistics. The book strikes a balance between simplicity in exposition and sophistication in analytical reasoning. Some of the more mathematically rigorous analysis is explained intuitively in the main text, and then developed in detail (at the level of advanced calculus) in the numerous solved theoretical problems.
A delightful tour of the greatest ideas of math, showing how math intersects with philosophy, science, art, business, current events, and everyday life, by an acclaimed science communicator and regular contributor to the "New York Times."
Now in its new third edition, Probability and Measure offers advanced students, scientists, and engineers an integrated introduction to measure theory and probability. Retaining the unique approach of the previous editions, this text interweaves material on probability and measure, so that probability problems generate an interest in measure theory and measure theory is then developed and applied to probability. Probability and Measure provides thorough coverage of probability, measure, integration, random variables and expected values, convergence of distributions, derivatives and conditional probability, and stochastic processes. The Third Edition features an improved treatment of Brownian motion and the replacement of queuing theory with ergodic theory.· Probability· Measure· Integration· Random Variables and Expected Values· Convergence of Distributions· Derivatives and Conditional Probability· Stochastic Processes
The MBA Handbook enables readers to: choose the programme and mode of study best suited to their needs, improve their time management skills and free the time needed for study, develop skills in rapid reading, notetaking, case study analysis, group discussion and oral presentation skills, integrate MBA study into career development and progression. accessible guide to the where and how of MBA studies and maintains the successful formula of the first edition. It gives much needed guidance on choosing, preparing for and surviving an MBA course, with advice on the necessary study skills including analytical report writing, project management and examinations technique. stage of reviewing their reasons for taking an MBA through to taking positive career development steps after gaining the qualification. In guiding readers through the pitfalls they will undoubtedly face, this handbook will be invaluable in helping them to pass their MBA and develop their managerial skills in the process. handbook will also be highly relevant to management students and others for whom a project or dissertation forms a large component of the course. The interactive nature of the material presented in the text is particularly useful for students taking part-time or distance learning programmes. In addition, managers who are not sure that they want a qualification will still benefit greatly from the advice on developing the many skills relevant to their job performance and career propsects. learning courses. Managers keen to develop the skills relevant to enhanced job performance and career prospects, as well as those interested in embarking on a course of management study.
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