## Introduction

In this lab, you
will explore in detail the resistance of some of the summary measures
you have studied in chapter 2. Specifically, you will see how the mean, median, quartiles, and standard deviation are affected by
creating and removing outliers, and by changing the values of data
points. In addition, you will be able to study the effects that these
manipulations have on box-and-whisker plots and frequency histograms.

In the lab, a JAVA applet will provide
graphical and numerical summaries of car theft data from the 50
states. In the applet, you will be asked to click and drag points. To
do this, first imagine there is a horizontal axis through the center
of the box-and-whisker plot. Think of this as the horizontal line that
would result if the whiskers were extended into the box. When the
position of the pointer on this axis corresponds to one of the car
theft rates in the data set, the value of that car theft rate and the
name of the state to which it belongs will appear to the right side,
underneath the box-and-whisker plot. When the pointer is positioned
over any such data point, you can click and drag that point to a new
value.

To navigate through the lab, use the menu
bar on the left side of this window, which will be available to you
throughout the lab. Click "Applet" to open the applet for this
lab. Once you open the applet, there will be specific step-by-step
instructions found at the bottom of the applet window. Once you have
completed the lab, you may be instructed to answer the summary
questions. Even if you are not, have a look: they will be a good test
of your understanding.