This paper examines the estimation of two-stage clustered RCT designs in education research using the Neyman causal inference framework that underlies experiments. The key distinction between the considered causal models is whether potential treatment and control group outcomes are considered to be fixed for the study population (the…

Two statistical tools, the Chi-square and standard error approaches, are compared for use in Mendelian genetics experiments. Although the Chi-square technique is more often used, the standard error approach is to be preferred for both research investigations and student experiments. (BB)

Classifies errors as either systematic or blunder and uncertainties as either systematic or random. Discusses use of error/uncertainty analysis in direct/indirect measurement, describing the process of planning experiments to ensure lowest possible uncertainty. Also considers appropriate level of error analysis for high school physics students'…

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)

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)