Monthly Archives: February 2016

Data Collection – Exponential Part 2

Objectives

  • Record the successive maximum heights for a bouncing ball.
  • Model the bounce height data with an exponential function.

Procedure

Bounce Back

Groups of three students used a motion detector to collect the height of a bouncing ball for 5 seconds.

Ready to Bounce

Ready to Bounce

Bouncing Ball

Bouncing Ball

Analysis

An example of one group’s data collection.

Bounce Height Data Quest

Height vs Time Graph

Students determined the maximum height of five successive bounces.  They put the data in a List & Spreadsheets Page.

Bounce Height Data 1 Bounce Height Data 2

The data for the first and fourth bounce was used to mathematically determine an exponential model that would fit the data.  They plotted their data and model on a Data & Statistics Page.

Bounce Back Exponential

Calculated Model

Then they had the calculator find the exponential regression for their data.

Bounce Back Regression

Exponential Regression

Results

Most groups found their model and the exponential regression to be very similar.

Data Collection – Exponential

Today, as part of my Innovative Teaching Grant from the Pearland ISD Education Foundation, my students completed their third data collection lab.

Objectives

  • Record temperature versus time for a cooling object.
  • Model the temperature of an object as it cools.

Procedure

How Cool It Is

I had a crock pot of hot water.  Each group of three students were given a cup of the hot water.  They placed the temperature probe in the hot water for about 30 seconds, then removed the temperature probe and allowed it to cool.  The calculator collected the temperature data for three minutes.

probe in water

Temperature Probe in Hot Water

probe cooling

Temperature Probe Cooling

Analysis

An example of one group’s data collection.

Temp DataQuest before exp fit

Temperature vs Time Graph

Students determined that an exponential model should fit the data.  They had the calculator graph the exponential regression for their data.

Temp DataQuest

Temperature vs Time Graph with Exponential Regression

The exponential model did not appear to be a very good fit.  They determine that the exponential model should have an asymptote at room temperature.  So they adjusted the collected temperature values by subtracting the room temperature.  Then they sent the data to a Data & Statistics page for further analysis.

The data for 20 seconds and 160 seconds was used to mathematically determine an exponential model that would fit their adjusted temperature data.  They plotted their model, then compared their model to the exponential regression using the adjusted temperature data.

Temp with Plotted Function

Calculated Model

Temp with Regression

Exponential Regression

Results

Most groups found their model and the exponential regression to be very similar.