This laboratory activity allows a student to explore trends in hurricane intensity, the possible impact of climate change on hurricanes, and understanding uncertainty in trends. This tool can be used as an aid to teach topics such as Data Analysis, Linear Slope,Confidence Interval, Student’s t-distribution, and Standard Deviation in Statistics.
In this laboratory activity students use statistical methods to analyze historical temperature records of different cities and find significant patterns in the data over time.
In this activity students are provided a set of hourly temperature data for a 24-hour period from one location around New Zealand and they use different statistical techniques to better understand meteorology and data analysis.
This exercise involves plotting global mean temperature from 1850 to 2000, run regression analyses on the data and to plot yearly global mean temperature anomalies.
In this exercise, students learn to use statistical methods on climate data from the Arctic. They run the linear regression on the average monthly extent of Arctic sea ice from 1979 to the present.