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.
Student will conduct a coin tossing experiment for 30 trials. Their results …
Student will conduct a coin tossing experiment for 30 trials. Their results will be graphed, showing a line graph that progresses toward the theoretical probability. Students will observe that as the number of trials increases they begin to see a graphical representation of the Law of Large Numbers. Instructions, handouts, and a lesson extension are all included here.
Introduction to the application of elementary statistics to political analysis. A basic …
Introduction to the application of elementary statistics to political analysis. A basic literacy subject, teaching the student how to read and interpret the quantitative literature in various subfields of political science and public policy. Students develop elementary statistical computation skills and learn to use a statistical computing package. From the course home page: This course provides students with a rigorous introduction to Statistics for Political Science. Topics include basic mathematical tools used in social science modeling and statistics, probability theory, theory of estimation and inference, and statistical methods, especially differences of means and regression. The course is often taken by students outside of political science, especially those in business, urban studies, and various fields of public policy, such as public health. Examples draw heavily from political science, but some problems come from other areas, such as labor economics.
Detection and measurement of radio and optical signals encountered in communications, astronomy, …
Detection and measurement of radio and optical signals encountered in communications, astronomy, remote sensing, instrumentation, and radar. Statistical analysis of signal processing systems, including radiometers, spectrometers, interferometers, and digital correlation systems. Matched filters and ambiguity functions. Communications channel performance. Measurement of random electromagnetic fields. Angular filtering properties of antennas, interferometers, and aperture synthesis systems. Radiative transfer and parameter estimation.
In this lesson plan students explore the four forces of flight in …
In this lesson plan students explore the four forces of flight in order to complete the "Rescue Mission". Students must use their knowledge of probability to choose the spinner that will help them win the game. Students must also use their knowledge of graphing points on a coordinate grid in order to plot the results of each spin. The game board and spinners are included (PDF).
In this lesson plan students must create their own method for keeping …
In this lesson plan students must create their own method for keeping track of rubber ducks found around the classroom. Students are then given an opportunity to share their data collection strategies and discuss the benefits and drawbacks of each one. The lesson plan is written to make an easy tie in to language arts by incorporting discussion of the words "in" or "on" when discussing the ducks location. PDF documents for cut out rubber ducks, data collection assessment, and answer key are provided.
Statistical Reasoning in Public Health II provides an introduction to selected important …
Statistical Reasoning in Public Health II provides an introduction to selected important topics in biostatistical concepts and reasoning through lectures, exercises, and bulletin board discussions. The course builds on the material in Statistical Reasoning in Public Health I , extending the statistical procedures discussed in that course to the multivariate realm, via multiple regression methods. New topics, such as methods for clinical diagnostic testing, and univariate, bivariate, and multivariate techniques for survival analysis will also be covered. These topics will be reinforced with many "real-life" examples drawn from recent biomedical literature. While there are some formulae and computational elements to the course, the emphasis is again on interpretation and concepts.
This course is an introduction to statistical data analysis. Topics are chosen …
This course is an introduction to statistical data analysis. Topics are chosen from applied probability, sampling, estimation, hypothesis testing, linear regression, analysis of variance, categorical data analysis, and nonparametric statistics.
This 10-minute video lesson provides an introduction to the central limit theorem …
This 10-minute video lesson provides an introduction to the central limit theorem and the sampling distribution of the mean. [Statistics playlist: Lesson 35 of 85]
This 3-minute video lesson provides clarification of the previous video on the …
This 3-minute video lesson provides clarification of the previous video on the confidence interval for difference of means. [Statistics playlist: Lesson 57 of 85]
This 14-minute video lesson shows how to estimate the probability that the …
This 14-minute video lesson shows how to estimate the probability that the true population mean lies within a range around a sample mean .[Statistics playlist: Lesson 40 of 85]
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