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# Resources for Introductory Statistics

Below we provide information and links to topics in statistics that may be appropriate for your students. The Glossary from HyperStat is also a potentially useful resource.

• Basic statistical calculations, such as the calculation of the mean, variance, and standard deviation, are fundamental to the analysis of most data. Learn more here

• The central limit theorem is intimately related to the idea that an increase in sample size improves the estimate for the mean value of a population Learn more here

• Covariance and correlation between two data sets (bivariate data) may also be appropriately introduced in your course. Learn more here

• The t-distribution and t-statistics are useful in establishing confidence limits (error bars) for a sample mean, or for the slope and intercept values calculated from a least squares linear regression. Learn more here

• Least Squares Linear Regression is often introduced in introductory courses to varying degrees of mathematical sophistication. Learn more here
• Fourier transforms of time series or spatial data are used throughout the geosciences. Consider providing your introductory-level students with some familiarity of this essential analysis tool. Learn more here