distributions
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Note: This course is being offered this summer by Stanford as an online course for credit. It can be taken individually, or as part of a master’s degree or graduate certificate earned online through the Stanford Center for Professional Development. The goals for the course are to gain a facility with using the Fourier transform, both specific techniques and general principles, and learning to recognize when, why, and how it is used. To...more
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This is a math course aimed at students with life science majors covering elementary probability, probability distributions, random variables, and limit theorems.
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Statistics 110 (Probability), which has been taught at Harvard University by Joe Blitzstein (Professor of the Practice, Harvard Statistics Department) each year since 2006. Lecture videos, review materials, and over 250 practice problems with detailed solutions are provided. This course is an introduction to probability as a language and set of tools for understanding statistics, science, risk, and randomness. The ideas and methods are use...more
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Professor Sylvia Ceyer focuses on p-orbitals, describing nodal planes, angular nodes, and radial probability distributions. The conversation continues forward to wavefunctions for multielectron atoms, beginning with an explanation of electron configuration. The Pauli and spin exclusion principle is covered, and the lecture concludes with a discussion of one electron wavefunctions for multielectron atoms.
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Constructing small sample size confidence intervals using t-distributions.
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Discrete vs. continuous distributions, PDFs, variance, standard deviation, Uniform universality.
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Biased random walks, distributions
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Standard distribution, binomial distribution, two random variables.
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Standard normal distribution, cumulative distribution function.
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Random variables, CDFs, PMFs, discrete vs. continuous, Hypergeometric.
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Poisson distribution, poisson processes.
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Poisson distribution, continuous trials, poisson processes.
