Students will learn how the U.S. Census Bureau helps emergency responders provide …
Students will learn how the U.S. Census Bureau helps emergency responders provide support during natural disasters. Then, the teacher will set up various stations around the room to encourage peer-to-peer learning in small groups. Students will rotate from station to station, completing tasks such as creating an emergency preparedness kit, determining the states with the highest risk for hurricanes, and reviewing a series of photos of houses to determine which are most likely to survive a natural disaster.
In this activity, students will refer to the 1790 and 1800 Censuses …
In this activity, students will refer to the 1790 and 1800 Censuses to compare the total population with the population of enslaved people, drawing conclusions from the data.
Students will analyze the 1950 Census form for Americans living overseas and …
Students will analyze the 1950 Census form for Americans living overseas and 1910–1990 census data for these Americans to understand the impact of the Cold War on the number of U.S. citizens living abroad.
The applets in this section of Statistical Java address Power. Users can …
The applets in this section of Statistical Java address Power. Users can perform one or two tailed tests for proportions or means for one or two samples. Set the parameters and drag the mouse across the graph to see how effect size affects power.
Prediction is at the heart of almost every scientific discipline, and the …
Prediction is at the heart of almost every scientific discipline, and the study of generalization (that is, prediction) from data is the central topic of machine learning and statistics, and more generally, data mining. Machine learning and statistical methods are used throughout the scientific world for their use in handling the "information overload" that characterizes our current digital age. Machine learning developed from the artificial intelligence community, mainly within the last 30 years, at the same time that statistics has made major advances due to the availability of modern computing. However, parts of these two fields aim at the same goal, that is, of prediction from data. This course provides a selection of the most important topics from both of these subjects.
Welcome to 6.041/6.431, a subject on the modeling and analysis of random …
Welcome to 6.041/6.431, a subject on the modeling and analysis of random phenomena and processes, including the basics of statistical inference. Nowadays, there is broad consensus that the ability to think probabilistically is a fundamental component of scientific literacy. For example: The concept of statistical significance (to be touched upon at the end of this course) is considered by the Financial Times as one of "The Ten Things Everyone Should Know About Science". A recent Scientific American article argues that statistical literacy is crucial in making health-related decisions. Finally, an article in the New York Times identifies statistical data analysis as an upcoming profession, valuable everywhere, from Google and Netflix to the Office of Management and Budget. The aim of this class is to introduce the relevant models, skills, and tools, by combining mathematics with conceptual understanding and intuition.
Interpretations of the concept of probability. Basic probability rules; random variables and …
Interpretations of the concept of probability. Basic probability rules; random variables and distribution functions; functions of random variables. Applications to quality control and the reliability assessment of mechanical/electrical components, as well as simple structures and redundant systems. Elements of statistics. Bayesian methods in engineering. Methods for reliability and risk assessment of complex systems, (event-tree and fault-tree analysis, common-cause failures, human reliability models). Uncertainty propagation in complex systems (Monte Carlo methods, Latin Hypercube Sampling). Introduction to Markov models. Examples and applications from nuclear and chemical-process plants, waste repositories, and mechanical systems. Open to qualified undergraduates.
This page of Statistical Java describes 11 different probability distributions including the …
This page of Statistical Java describes 11 different probability distributions including the Binomial, Poisson, Negative Binomial, Geometric, T, Chi-squared, Gamma, Weibull, Log-Normal, Beta, and F. Each distribution has its own applet.
CK-12 Foundation's new and improved Advanced Probability and Statistics-Second Edition FlexBook introduces …
CK-12 Foundation's new and improved Advanced Probability and Statistics-Second Edition FlexBook introduces students to basic topics in statistics and probability, but finishes with the rigorous topics an advanced placement course requires.
CK-12 Advanced Probability and Statistics introduces students to basic topics in statistics …
CK-12 Advanced Probability and Statistics introduces students to basic topics in statistics and probability but finishes with the rigorous topics an advanced placement course requires. Includes visualizations of data, introduction to probability, discrete probability distribution, normal distribution, planning and conducting a study, sampling distributions, hypothesis testing, regression and correlation, Chi-Square, analysis of variance, and non-parametric statistics.
CK-12 Advanced Probability and Statistics Teacher's Edition provides tips and enrichment activities …
CK-12 Advanced Probability and Statistics Teacher's Edition provides tips and enrichment activities for teaching CK-12 Advanced Probability and Statistics Student Edition. The solution and assessment guides are available upon request.
A work in progress, this FlexBook is an introduction to theoretical probability …
A work in progress, this FlexBook is an introduction to theoretical probability and data organization. Students learn about events, conditions, random variables, and graphs and tables that allow them to manage data.
CK-12 Foundation's Basic Probability and Statistics - A Short Course is an …
CK-12 Foundation's Basic Probability and Statistics - A Short Course is an introduction to theoretical probability and data organization. Students learn about events, conditions, random variables, and graphs and tables that allow them to manage data.
This course introduces students to probability and random variables. Topics include distribution …
This course introduces students to probability and random variables. Topics include distribution functions, binomial, geometric, hypergeometric, and Poisson distributions. The other topics covered are uniform, exponential, normal, gamma and beta distributions; conditional probability; Bayes theorem; joint distributions; Chebyshev inequality; law of large numbers; and central limit theorem.
Quantitative analysis of uncertainty and risk for engineering applications. Fundamentals of probability, …
Quantitative analysis of uncertainty and risk for engineering applications. Fundamentals of probability, random processes, statistics, and decision analysis. Random variables and vectors, uncertainty propagation, conditional distributions, and second-moment analysis. Introduction to system reliability. Bayesian analysis and risk-based decision. Estimation of distribution parameters, hypothesis testing, and simple and multiple linear regressions. Poisson and Markov processes. Emphasis on application to engineering problems.
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