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Instructors' Guide for Facilitating Activity

Activity Distance: How Far are You Away From Home?

Required Equipment

     • Computers for each student to conduct the online data collection
     • A pass code for this Activity (If you do not have this, please register for a pass
       code.)

Activity

This activity is designed to help students learn the importance of proper measurement, concepts of central tendency, variability, and learning the different shapes of distributions in statistics.  The data can be used for inference, analysis of variance and categorical analysis.

Suggested Approach and Some Tips for Facilitating This Activity

1. Describe this activity as a scenario.

For example: 
The Admission Office of this university is   considering revising the policy of recruiting students.  As the first step in this process, the university wishes to find out how far and where students are coming from and reasons for choosing this university.  You are assigned this project to assist the university in collecting data, analyzing it, and making a report of your findings.
 
2. Engage students in the data measurement and data collection stage.
     • Ask some students how far they are from home.
       Anticipate that students may answer in "number of hours",
       in "miles", "just in town", etc.  Engage students to discuss
       the pros and cons of each type of measurement.
     • It is a good idea also to toss out the measurement of
       "kilometer" and discuss the use of the measurement
       sometimes depends on the culture.
     • It is a good idea to give some cases where the mistake in
       measurement can have a serious consequence.  One such
       example is the ignorance of changing the measurement
       unit from "centimeter" to "inches" for a measurement
       used in the space rover that was sent to Mars in 2001
       and led to a loss of over one billion dollars.
 
3. Choose to participate in the activity or use the data collected by other classes.  If you only want to use the data collected by other classes, you may go to step 4.  Otherwise, direct students to the Data Entry page for conducting the online survey.
     • Before allowing students to enter their data, you should
       already have the "Activity Code".  If not, please refer to
       the Registration page.
     • Provide the Activity Code to your class and have students
       enter their data.  Please stress that each student can only
       enter the data once.  Therefore, ask them to double check
       their data before submission.
 
4. Direct students to the Data Download page.  Direct students to follow your instruction to download the data.  As described on the page, you have different choices for downloading the data.  Please be specific so that your class will obtain the same data set.
 
5. Direct students to analyze the data.

You should have chosen what statistical tool your class will be using for analyzing the data.
     • You may use the software your local computer lab has.
     • You may use the online software, "Crunch_It" at
       http://www.statcrunch.com/.  For first time users, you
       need to sign on to the site.  Please
       stress that students need to remember their own ID and
       password.  Direct students to input the data and analyze
       the data.  Be more focused on what tools are to be used
       for analyzing this distance data based on the purpose of
       this activity.

    Suggested Questions for Classroom Activities
        

6. Facilitate the discussion of the results.
     • Facilitating the discussion of the results should focus on
       the related context, not just the numbers themselves.
     • This activity also is an excellent way to familiarize
       students with the different types of distributions.  The
       different types of distributions include normal, skewed to
       the left, and skewed to the right.
     • The discussion should stress the relationship between
       different graphical presentations and numerical
       measurements in different real world contexts, not just this
       distance data.
       Some examples include:
         (1)  Mean > Median does not imply the shape of
               distribution must be skewed to the right.  One has to
               take into account the magnitude of standard
               deviation.  Suppose 100 gas prices are observed.
               The average gas price = $1.68 and median gas price
               =$1.66, sample standard deviation is $0.20. 
               Have students discuss the most likely distribution
               shape of the gas prices.
         (2)  If the standard deviation of the entire class of 40
               students is zero, what would you observe from the
               40 scores?
         (3)  Matching the histograms with box plots.
         (4)  Matching numerical measures with graphs.
        
7. Assessment:
Online Self-Test for Students

Suggested Questions for Classroom Activities
Suggested Questions for Homework and Projects
 
 

CMU, an AA/EO institution, strongly and actively 
strives to increase diversity within its community (see
www.cmich.edu/aaeo/).