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Dickson-Karn, Nicole M.; Orosz, Steven – Journal of Chemical Education, 2021
Proper sampling techniques are of the utmost importance in obtaining accurate and precise results in chemical analysis. A Python language computer simulation providing fast feedback on sampling concepts and statistics was delivered to students through Google Colab. Students used the simulation to aid in their exploration of sampling and sampling…
Descriptors: Programming Languages, Chemistry, Computer Simulation, Sampling
Bonnett, Laura J.; White, Simon R. – Teaching Statistics: An International Journal for Teachers, 2019
We describe an activity that introduces students to population modelling, enables them to use estimates obtained from a sample to infer back to the population, and understands how the findings are translatable via penguins and their poo!
Descriptors: Mathematics Activities, Mathematical Models, Statistics, Statistical Inference
White, Simon R.; Bonnett, Laura J. – Teaching Statistics: An International Journal for Teachers, 2019
The statistical concept of sampling is often given little direct attention, typically reduced to the mantra "take a random sample". This low resource and adaptable activity demonstrates sampling and explores issues that arise due to biased sampling.
Descriptors: Statistical Bias, Sampling, Statistical Analysis, Learning Activities
Stier, Sam – Science Scope, 2010
Sampling, very generally, is the process of learning about something by selecting and assessing representative parts of that population or object. In the inquiry activity described here, students learned about sampling techniques as they estimated the number of trees greater than 12 cm dbh (diameter at breast height) in a wooded, discrete area…
Descriptors: Learning Activities, Sampling, Science Process Skills, Inquiry
Peer reviewedKennedy, Peter E. – Journal of Economic Education, 2001
Explains that econometrics is an intellectual game played by rules based on the sampling distribution concept. Contains explanations for why many students are uncomfortable with econometrics. Encourages instructors to use explain-how-to-bootstrap exercises to promote student understanding. (RLH)
Descriptors: College Curriculum, Econometrics, Economics Education, Educational Games
Zacharopoulou, Hrissoula – Journal of Statistics Education, 2006
In a very large Introductory Statistics class, i.e. in a class of more than 300 students, instructors may hesitate to apply active learning techniques, discouraged by the volume of extra work. In this paper two such activities are presented that evoke student involvement in the learning process. The first is group peer teaching and the second is…
Descriptors: Active Learning, Sampling, Peer Teaching, Teaching Methods
Peer reviewedPicciotto, Henri; Ploger, Don – Journal of Mathematical Behavior, 1991
Described is an introductory probability and statistics class focused on teaching the concepts of sampling and binomial distributions through a strategy based on teacher and student generated simulation using the Boxer computer language. The value of integrating programing with teaching subject matter is demonstrated, and sample student work is…
Descriptors: Computer Assisted Instruction, Computer Simulation, Computer Uses in Education, Curriculum Development

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