# And Now, the Weather - Describing Data with Statistics

Recommended for High School.

## Introduction

Meteorologists use mathematics to interpret weather patterns and make predictions. Part of the job involves collecting and analyzing temperature data. Once the meteorologists have collected a large number of measurements, they have a problem: How do they make sense of a long list of numbers? What is needed is a way of describing the set of data with just a few numbers. We call those numbers *descriptive statistics*. One important need is to be able to represent the set of measurements with a single number. There are several ways to do this:

- The
*mean*temperature is what we usually think of when we hear the word “average.” It is the sum of the temperature values in the data set divided by the number of elements in the set. - The
*median*temperature represents the center data point of the set after all the elements have been placed in order from lowest to highest.

Almost any weather report includes a summary of the day’s high temperature, called the *maximum* value, and the day’s low temperature, called the *minimum* value. The difference between these two statistics, called the *range*, shows the variability or *spread* of the data.

In this activity you will collect outdoor temperature readings over a day-long period using a temperature probe. After this data has been transferred to the calculator, you will use its statistical analysis tools to create your own temperature report.

## Objectives

- Record temperature data over a day-long period.
- Describe the temperature data using statistical concepts.

## Sensors and Equipment

This experiment features the following Vernier sensors and equipment.

### Additional Requirements

You may also need an interface and software for data collection. What do I need for data collection?

## Standards Correlations

See all standards correlations for *Real-World Math Made Easy* »

*Real-World Math Made Easy*

*Real-World Math Made Easy*

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