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Brehm, Michael A.; And Others – American Biology Teacher, 1996
Presents an experiment to compare the effectiveness of 95% ethanol to 20% bleach as disinfectants using t-tests for the statistical analysis of the data. Reports that bleach is a better disinfectant. Discusses the statistical and practical significance of the results. (JRH)
Descriptors: Biology, Higher Education, Microbiology, Science Experiments
Cothron, Julia H.; And Others – 1993
This book was written to make it easier for classroom teachers to teach students the skills they need to successfully conduct, analyze, and report an experiment and to carry out independent research; it also presents strategies for holding successful science competitions. Part 1 contains field-tested teaching strategies for developing student…
Descriptors: College Science, Elementary Secondary Education, Higher Education, Inquiry
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Levy, Sal – Physics Teacher, 1991
Presents an outdoor experiment to measure the speed of sound as a classroom experience to begin the teaching year. Measures the delay time from seeing and hearing crashing cymbals across a field to calculate the speed. Exposes students to experimental uncertainties and limits of uncertainty in measurement. (MDH)
Descriptors: Acoustics, Classroom Techniques, Data Analysis, High Schools
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Corner, Rebecca C.; Corner, Thomas R. – Science Teacher, 1994
Describes the statistical test of chi-square analysis. Explains how this test can be used in biology instruction. Examples from blood typing are used. (PR)
Descriptors: Biology, High Schools, Learning Activities, Mathematics Education
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Hudgins, R. R.; Reilly, P. M. – Chemical Engineering Education, 1989
Discussed are problems encountered when a gas absorption experiment with strong measurement error is used. Notes students either avoid the experiment or report it as defective. Provides ideas to make lab experiments more instructive. (MVL)
Descriptors: Chemical Analysis, Chemical Engineering, Chemistry, College Science
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Deacon, Christopher G. – Physics Teacher, 1992
Describes two simple methods of error analysis: (1) combining errors in the measured quantities; and (2) calculating the error or uncertainty in the slope of a straight-line graph. Discusses significance of the error in the comparison of experimental results with some known value. (MDH)
Descriptors: Error of Measurement, Goodness of Fit, High Schools, Higher Education