What was the first question that started probability theory?

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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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Dr. David McNutt explains how a simple do-it-yourself quadrat and a transect can be used for ecological sampling to estimate population density in a given area.

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Safe water? Safe soil? How can we calibrate our equipment to detect small levels of pollutants and ignore other substances in the sample?

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.

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.

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

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.

Entrepreneur and meteorologist Mark Powell discusses the need for statistics in his mathematical modeling program to help better understand hurricanes.

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.

Fish Ecologist, Dean Grubbs, discusses how using statistical sampling can help determine legal catch rates for fish that may be endangered.

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

Patrick Milligan shares a teaching idea for collecting insect samples.

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 buzzworthy video features statistics, sampling, and how scientists make inferences about populations.

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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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.

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

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

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

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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.

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.

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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