A teaching module that demonstrates the use of linear and quadratic regression to analyze Arctic sea ice extent data and the use of graphs, sample correlations, and multiple regression to analyze atmospheric CO2 level data, solar irradiance data, and average global temperature data.
A classroom/laboratory activity to learn about linear slope, trends, confidence intervals, and Student’s t-distribution by calculating trends and uncertainties using hurricane data records over 40 years.
A classroom/laboratory activity to learn about statistical methods to analyze average annual temperatures of major cities in the world (New York and Sydney) and to determine trends in the data.
A classroom/laboratory activity to calculate the mean daily temperature using hourly temperature data and to compare different statistical techniques for determining this value.
A classroom/laboratory activity to learn about regression analysis of data by using global temperature data over a period of 150 years.
A classroom/laboratory activity to perform linear regression on climate data from the Arctic.