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Statistical Analysis of Temperature Sensors
| Content Provider | TeachEngineering: STEM curriculum for K-12 |
|---|---|
| Author | Kosel, Trent Lehman, Keith |
| Copyright Year | 2017 |
| Description | Acting as if they are engineers testing precision agriculture tools, students use their data collection, graphing and statistical analysis skills to determine how accurate the temperature sensors are by comparing them to each other. They take temperature readings of soil samples under different real-world simulation conditions. They use Vernier temperature sensor probes and LabQuest devices (or digital thermometers) and analyze the class data to determine tool accuracy and make tool improvement recommendations. Working as if they are engineers aiming to analyze and then improve data collection devices for precision agriculture, students determine how accurate temperature sensors are by comparing them to each other. Teams record soil temperature data during a class period while making changes to the samples to mimic real-world crop conditions—such as the addition of water and heat and the removal of the heat. Groups analyze their collected data by finding the mean, median, mode, and standard deviation. Then, the class combines all the team data points in order to compare data collected from numerous devices and analyze the accuracy of their recording devices by finding the standard deviation of temperature readings at each minute. By averaging the standard deviations of each minute’s temperature reading, students determine the accuracy of their temperature sensors. Students present their findings and conclusions, including making recommendations for temperature sensor improvements. |
| Language | English |
| Access Restriction | Open |
| Rights Holder | Regents of The University of Colorado North Dakota State University |
| Subject Keyword | Data Analysis and Probability |
| Content Type | Text Video |
| Time Required | PT2H30M |
| Education Level | Class IX Class X Class XI Class XII |
| Pedagogy | Experimental Activity Lecture cum Demonstration |
| Resource Type | Hands-on |
| Subject | Probability |
