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  • In this module, students can test their knowledge of levels of measurement by attempting to determine the the level of measurement of ten different variables. For each variable, a statement is also provided and students can indicate whether the statement about the variable is valid or invalid (given the way in which the variable was measured). There is also a brief "refresher" included here about levels of measurement.

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  • This applet performs the Student's t test on two sets of data, and reports the average and variance for both sets of data, the t score, degrees of freedom, and one and two tailed P values.

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  • This java applet can be used to determine whether or not the means in two sample populations are significantly different.

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  • This simulation involves a series of balls passing through bins to eventually yield a normal distribution. Information is also provided about what the normal distribution is.

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  • DataFerrett is a unique data analysis and extraction tool -- with recoding capabilities -- to customize federal, state, and local data to suit your requirements. Using DataFerrett, you can develop an unlimited array of customized spreadsheets that are as versatile and complex as your usage demands. The DataFerrett helps you locate and retrieve the data you need across the Internet to your desktop or system, regardless of where the data resides. You can then develop and customize tables. Selecting your results in your table you can create a chart or graph for a visual presentation into an html page. Save your data in the databasket and save your table for continued reuse. The DataFerrett is a Beta testing version that will incorporate the latest bug fixes, enhancements, and new functionality that will be rolled into the DataFerrett after testing has been completed.

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  • A quote to motivate discussions of government economic measures and the validity of measurements. The quote is by American economist and statistician Mollie Orshansky (1915-2006), the developer of the poverty level used by the U.S. government. The quote is from her article "Counting the Poor: Another Look at the Poverty Profile," in the January 1965 Social Security Administration Bulletin.
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  • A one-liner to be used in discussions about how the statistical profession is commonly ranked high in terms of factors like demand, job satisfaction, and salary (or about the difficulty in finding a valid measurement of prestige).
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  • "We have to remember that what we observe is not nature herself, but nature exposed to our method of questioning." is a quote by German Physicist Werner Heisenberg (1901-1976) that can be used in discussing the validity of measurements. The quote arose in a series of lectures delivered at University of St. Andrews, Scotland in the 1955-1956 academic year and published in Physics and Philosophy: The Revolution in Modern Science (1958).
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  • "Failing the possibility of measuring that which you desire, the lust for measurement may, for example, merely result in your measuring something else - and perhaps forgetting the difference - or in your ignoring some things because they cannot be measured." A quote by British statistician George Udny Yule that can be used in discussing the validity of measurements. The quote is contained on the last page of his famous 1921 British Journal of Psychology paper "The essentials of mental measurement." The quote is commonly paraphrased as "In our lust for measurement, we frequently measure that which we can rather than that which we wish to measure... and forget that there is a difference."
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  • A song that might be used in pre-service courses for statistics teachers (or professional development workshops) to point out why using technology is preferred to training students to use Normal Probability Tables. The lyrics were composed by Robert Carver of Stonehill College. May be sung to the tune of the "Empty Chairs at Empty Tables" written by Schoenberg and Kretmer for the play Les Miserables. The lyrics won an honorable mention in the CAUSE 2013 A-Mu-sing contest. Musical accompaniment realization and vocals are by Joshua Lintz from University of Texas at El Paso.
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