Teaching Module: Introduction to Statistics through Weather Forecasting

A teaching module by Ginny Brown, University Corporation for Atmospheric Research (UCAR), that uses climate data to teach statistical parameters such as mean, median, mode, extreme values, percent frequency of occurrence and time, range, standard deviation, and data anomalies. It also includes discussion on the use of statistical parameters that represent a climate or weather variable.

Students will learn the statistical parameters used in basic climate modeling. Additionally, they will also learn about climatology and forecasting.  

Use this tool to help students find answers to:

1. Define the following:
   1. Mean
   2. Median,
   3. Mode,
   4. Frequency,
   5. Standard Deviation
   6. Data anomaly
2. Explain what statistical parameters are best suited for weather prediction using wind and temperature data. 
3. Describe the impacts of data quality on climate modeling.

About the Tool

Tool Name	Module: Introduction to Statistics for Climatology – UCAR COMET
Discipline	Mathematics and Statistics, Earth Sciences
Topic(s) in Discipline	Mean, Median, Mode, Frequency, Standard Deviation, Data Anomalies, Climatology, Weather Forecasting
Climate Topic	Climate Variability Record; Climate and the Atmosphere
Type of tool	Teaching Module
Grade Level	High School
Location	Global
Language	English
Translation
Developed by	Ginny Brown, University Corporation for Atmospheric Research (UCAR)
Hosted at	CAMEL Climate Change Education
Link	Link
Access	Online/ Offline
Computer Skills	Basic