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Mathematical Tools for Real-World Applications: A Gentle Introduction for Students and Practitioners
Draganov, Alexandr – MIT Press, 2022
Techniques for applying mathematical concepts in the real world: six rarely taught but crucial tools for analysis, research, and problem-solving. Many young graduates leave school with a solid knowledge of mathematical concepts but struggle to apply these concepts in practice. Real scientific and engineering problems are different from those found…
Descriptors: Mathematical Concepts, Relevance (Education), College Mathematics, Engineering
Zhang, Xuemao; Maas, Zoe – International Electronic Journal of Mathematics Education, 2019
The use of computer simulations in the teaching of introductory statistics can help undergraduate students understand difficult or abstract statistics concepts. The free software environment R is a good candidate for computer simulations since it allows users to add additional functionality by defining new functions. In this paper, we illustrate…
Descriptors: Computer Simulation, Teaching Methods, Mathematics Instruction, Probability
Mezhennaya, Natalia M.; Pugachev, Oleg V. – European Journal of Contemporary Education, 2019
Typical difficulties in learning probabilistic subjects are concerned with big data, complicated formulas and inconvenient figures in statistical analyses. The present research considers the usage of innovative teaching methods (e.g. electronic summary of lectures, presentations of lecture courses, task solution templates, electronic training…
Descriptors: Mathematics Instruction, Probability, Statistics, Teaching Methods
Robertson, Robert L. – PRIMUS, 2017
Calculating Laplace transforms from the definition often requires tedious integrations. This paper provides an integration-free technique for calculating Laplace transforms of many familiar functions. It also shows how the technique can be applied to probability theory.
Descriptors: Mathematics Instruction, Teaching Methods, Probability, Computation
Herzog, Serge – New Directions for Institutional Research, 2014
Estimating the effect of campus math tutoring support, this study demonstrates the use of propensity score weighted and matched-data analysis and examines the correspondence with results from parametric regression analysis.
Descriptors: Probability, College Mathematics, Tutoring, Data Analysis
Swenson, Daniel – PRIMUS, 2015
We walk through a module intended for undergraduates in mathematics, with the focus of finding the best strategies for competing in the Showcase Showdown on the game show "The Price Is Right." Students should have completed one semester of calculus, as well as some probability. We also give numerous suggestions for further questions that…
Descriptors: Mathematics Instruction, Probability, Calculus, Undergraduate Students
Bermudez, Frank; Medina, Anthony; Rosin, Amber; Scott, Eren – College Mathematics Journal, 2013
A pair of 6-sided dice cannot be relabeled to make the sums 2, 3,...., 12 equally likely. It is possible to label seven, 10-sided dice so that the sums 7. 8,..., 70 occur equally often. We investigate such relabelings for "pq"-sided dice, where "p" and "q" are distinct primes, and show that these relabelings usually…
Descriptors: College Mathematics, Games, Probability, Computation
Andrade, Luisa; Fernández, Felipe – Universal Journal of Educational Research, 2016
As literature has reported, it is usual that university students in statistics courses, and even statistics teachers, interpret the confidence level associated with a confidence interval as the probability that the parameter value will be between the lower and upper interval limits. To confront this misconception, class activities have been…
Descriptors: Conflict, College Students, Statistics, Probability
Griffiths, Martin – International Journal of Mathematical Education in Science and Technology, 2013
We consider here the problem of calculating the moments of binomial random variables. It is shown how formulae for both the raw and the central moments of such random variables may be obtained in a recursive manner utilizing Stirling numbers of the first kind. Suggestions are also provided as to how students might be encouraged to explore this…
Descriptors: Statistics, Statistical Distributions, Probability, Computation
Benson, Eric – Journal of Instructional Pedagogies, 2013
The statistical output of interest to most elementary statistics students is the p-value, outputted in computer programs like SPSS, Minitab and SAS. Statistical decisions are sometimes made using these values without understanding the meaning or how these values are calculated. Most elementary statistics textbooks calculates p-values for z-tests…
Descriptors: Teaching Methods, Graphing Calculators, Statistics, Mathematics Instruction
Lu, Yun; Vasko, Francis J.; Drummond, Trevor J.; Vasko, Lisa E. – Mathematics Teacher, 2014
If the prospective students of probability lack a background in mathematical proofs, hands-on classroom activities may work well to help them to learn to analyze problems correctly. For example, students may physically roll a die twice to count and compare the frequency of the sequences. Tools such as graphing calculators or Microsoft Excel®…
Descriptors: Probability, Mathematical Logic, Validity, Heuristics
Ehrhardt, George – Journal of Statistics Education, 2013
This dataset contains the results of a quasi-experiment, testing Karl Pearson's "drunkard's walk" analogy for an abstract random walk. Inspired by the alternate hypothesis that drunkards stumble to the side of their dominant hand, it includes data on intoxicated test subjects walking a 10' line. Variables include: the…
Descriptors: Quasiexperimental Design, Logical Thinking, Hypothesis Testing, Handedness
Schlotter, Nicholas E. – Journal of Chemical Education, 2013
Our ability to statistically analyze data has grown significantly with the maturing of computer hardware and software. However, the evolution of our statistics capabilities has taken place without a corresponding evolution in the curriculum for the undergraduate chemistry major. Most faculty understands the need for a statistical educational…
Descriptors: Statistics, College Mathematics, College Science, Undergraduate Students
Kostadinov, Boyan – PRIMUS, 2013
This article attempts to introduce the reader to computational thinking and solving problems involving randomness. The main technique being employed is the Monte Carlo method, using the freely available software "R for Statistical Computing." The author illustrates the computer simulation approach by focusing on several problems of…
Descriptors: Computation, Monte Carlo Methods, College Mathematics, Problem Solving
Wroughton, Jacqueline; Nolan, Joseph – Journal of Statistics Education, 2012
Understanding counting rules is challenging for students; in particular, they struggle with determining when and how to implement combinations, permutations, and the multiplication rule as tools for counting large sets and computing probability. We present an activity--using ideas from the games of poker and pinochle--designed to help students…
Descriptors: Probability, Mathematics Instruction, Mathematics Skills, Teaching Methods
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