Many statistical methods (estimators) are available for estimating the consensus value (or average effect) and heterogeneity variance in interlaboratory studies or meta-analyses. These estimators are all valid because they are developed from or supported by certain statistical principles. However, no estimator can be perfect and must have error or…

The use of meta-analysis in medicine and epidemiology really took off in the 1970s. However, in high-energy physics, the Particle Data Group has been carrying out meta-analyses of measurements of particle masses and other properties since 1957. Curiously, there has been virtually no interaction between those working inside and outside particle…

As part of long-standing efforts to promote undergraduates' success in science, researchers have investigated the instructional strategies and motivational factors that promote student learning and persistence in science coursework and majors. This study aimed to create a set of brief measures that educators and researchers can use as tools to…

Smartphones and tablets are used as experimental tools and for quantitative measurements in two traditional laboratory experiments for undergraduate physics courses. The Doppler effect is analyzed and the speed of sound is determined with an accuracy of about 5% using ultrasonic frequency and two smartphones, which serve as rotating sound emitter…

Presents a brief life history of William Sealy Gosset, the "Student" of Student's t-test. Reviews some basic statistics and describes Student's t-test of statistical hypothesis. Contains 11 references. (JRH)

Discusses rapid, approximate methods for the calculation of errors estimates and other statistical results without using the computer. (SK)

Describes an activity designed to introduce concepts of randomness and standard deviation. (CP)

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'…

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)