What happens when math models go wrong in forecasting hurricanes?

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COAPS oceanographer Steve Morey describes how math is used to help research hurricanes and strong deep ocean currents that could effect deep water oil rigs.

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Statistical analysis played an essential role in using microgravity sensors to determine location of caves in Wakulla County.

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The tide is high! How can we statistically prove there is a relationship between the tides on the Gulf Coast and in a fresh water spring 20 miles from each other?

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What was the first question that started probability theory?

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This ecologist from the Coastal Plains Institute discusses sampling techniques that are used to gather data to make statistical inferences about amphibian populations in the wetlands of the Apalachicola National Forest.

Florida State University Counseling Psychologist discusses how he uses confidence intervals to make inferences on college students' experiences on campus based on a sample of students.

Dr. Tom Van Lent and Rajendra Paudel describe how modeling and simulation of water reservoirs are used to inform decisions about regulation of water flow in the Everglades.

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Dr. Tom Van Lent and Rajendra Paudel describe how hydrologic modeling is used to evaluate environmental conditions in the Everglades.

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Hurricanes can hit at any time! How do insurance companies use math and weather data to help to restore the community?

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Meteorologist from Risk Management discusses the use of probability in predicting hurricane tracks.

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NOAA Scientist Doug Devries discusses the differences between fishery independent surveys and fishery independent surveys.  Discussion includes trap sampling as well as camera sampling. Using graphs to show changes in population of red snapper.

Underwater sampling with cameras has made fishery management more accurate for NOAA scientists.

Jens Foell discusses how statistical noise reduction is used in fMRI brain imaging to be able to determine which specifics parts of the brain are related to certain activities and how this relates to patients that suffer from phantom limb pain.

Wei Wu discusses his statistical contributions to the Birdsong project which help to quantify the differences in the changes of the zebra finch's song.

Richard Bertram discusses his mathematical modeling contribution to the Birdsong project that helps the progress of neuron and ion channel research.

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This education researcher uses measures of center and measures of variability for numerical data from random samples to draw informal comparative inferences about two populations.

Hear how mathematics helped shape Dr. James O'Brien's groundbreaking research in ocean modeling of El Niño.

This FSU professor discusses the limitations and need for improvement to models used to forecast hurricanes.

This researcher explains common methods behind randomized studies in the social sciences, specifically in education.

Carbon can take many forms, including foam! Learn more about how geometry and the Monte Carlo Method is important in understanding it.

Should I keep my choice or switch? Learn more about the origins and probability behind the Monty Hall door picking dilemma and how Game Theory and strategy effect the probability.

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Ecologist Rebecca Means discusses the use of statistical sampling and comparative studies in field biology.

Will Ryan describes methods for collecting multiple random samples of anemones in coastal marine environments.

Will Ryan describes how linear regression models contribute towards his research on sea anemones.

Deep sea shark researcher, Chip Cotton, discusses the need for a Power Analysis to determine the critical sample size in order to make inferences on how oil spills affect shark populations.

Jens Foell discusses the link between correlation and causation in PTSD patients.

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Researchers Frank Johnson, Richard Bertram, Wei Wu, and Rick Hyson explore the necessity of scientific and mathematical collaboration in modern neuroscience, as it relates to their NSF research on birdsong.

Hydrogeologist from Nestle Waters discusses the importance of statistical tests in monitoring sustainability and in maintaining consistent water quality in bottled water.