<img src="https://d5nxst8fruw4z.cloudfront.net/atrk.gif?account=iA1Pi1a8Dy00ym" style="display:none" height="1" width="1" alt="" />
Skip Navigation
Our Terms of Use (click here to view) have changed. By continuing to use this site, you are agreeing to our new Terms of Use.

6.2: A Modeling Example: Counting Ping Pong Balls

Difficulty Level: At Grade Created by: CK-12
Turn In

Suppose you have a cylinder of height \begin{align*}h\end{align*} with base diameter \begin{align*}b\end{align*} (perhaps an empty pretzel jar), and you wish to know how many ping-pong balls of diameter \begin{align*}d\end{align*} have been placed inside the cylinder. How could you determine this? This problem, along with the strategy for computing the lower bound on the number of ping-pong balls, is adapted from Starfield (1994).

A lower bound for this problem is found as follows. Define the following variables:

  • \begin{align*}N_L-\end{align*}Lower bound on the number of balls that fit into the cylinder.
  • \begin{align*}V_{cyl}-\end{align*}The volume of the cylinder.
  • \begin{align*}V_{cube}-\end{align*}The volume of a cube that encloses a single ball.

\begin{align*}V_{cyl} & = h\pi(\tfrac{b}{2})^2 \\ V_{cube} & = d^3\end{align*}

The lower bound \begin{align*}N_L\end{align*} is found by dividing the volume of the cylinder by the volume of the cube enclosing a single ball:

\begin{align*}N_L = \tfrac{V_{cyl}}{V_{cube}}\end{align*}

Exercise 11

You are given the following values:

  • \begin{align*}d = 1.54\;\mathrm{in}\end{align*}
  • \begin{align*}b = 8\;\mathrm{in}\end{align*}
  • \begin{align*}h = 14 \;\mathrm{in}\end{align*}

Type commands at the command line prompt to compute \begin{align*}N_L\end{align*}.

Exercise 12

Create an m-file to solve Exercise 11.

To complicate your problem, suppose that you have not been given values for \begin{align*}d\end{align*}, \begin{align*}b\end{align*}, and \begin{align*}h\end{align*}. Instead you are required to estimate the number of ping pong balls for many different possible combinations of these variables (perhaps \begin{align*}50\end{align*} or more combinations). How can you automate this computation?

One way to automate the computation of \begin{align*}N_L\end{align*} for many different combinations of parameter values is to use a for loop. The following exercises ask you to develop several different ways that for loops can be used to automate these computations.

Exercise 13

Add a for loop to your m-file from Exercise 12 to compute \begin{align*}N_L\end{align*} for \begin{align*}b = 8 \;\mathrm{in}\end{align*}, \begin{align*}h = 14 \;\mathrm{in}\end{align*}, and values of \begin{align*}d\end{align*} ranging from \begin{align*}1.0 \;\mathrm{in}\end{align*} to \begin{align*}2.0 \;\mathrm{in}\end{align*}.

Exercise 14

Modify your m-file from Exercise 13 to plot \begin{align*}N_L\end{align*} as a function of \begin{align*}d\end{align*} for \begin{align*}b = 8 \;\mathrm{in}\end{align*} and \begin{align*}h = 14 \;\mathrm{in}\end{align*}.

Exercise 15

Modify your m-file from Exercise 13 to compute \begin{align*}N_L\end{align*} for \begin{align*}d = 1.54 \;\mathrm{in}\end{align*} and various values of \begin{align*}b\end{align*} and \begin{align*}h\end{align*}.

Notes/Highlights Having trouble? Report an issue.

Color Highlighted Text Notes
Please to create your own Highlights / Notes
Show More

Image Attributions

Show Hide Details
Date Created:
Feb 23, 2012
Last Modified:
Apr 13, 2016
Files can only be attached to the latest version of section
Please wait...
Please wait...
Image Detail
Sizes: Medium | Original