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Cooper, Linda L. – Journal of Statistics Education, 2018
Everyday encounters with graphical representations include a variety of graphs that superficially appear similar due to their use of bars. This article examines students' conceptions and misconceptions regarding the interpretation of variability in histograms, bar graphs, and value bar charts. A multiple choice assessment with brief written…
Descriptors: Statistics, Graphs, Concept Formation, Misconceptions
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Jungck, John R. – PRIMUS, 2022
Finite Mathematics has become an enormously rich and productive area of contemporary mathematical biology. Fortunately, educators have developed educational modules based upon many of the models that have used Finite Mathematics in mathematical biology research. A sufficient variety of computer modules that employ graph theory (phylogenetic trees,…
Descriptors: Mathematics Instruction, Teaching Methods, Mathematical Models, Learning Modules
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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
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Aquilonius, Birgit C.; Brenner, Mary E. – Statistics Education Research Journal, 2015
Results from a study of 16 community college students are presented. The research question concerned how students reasoned about p-values. Students' approach to p-values in hypothesis testing was procedural. Students viewed p-values as something that one compares to alpha values in order to arrive at an answer and did not attach much meaning to…
Descriptors: Logical Thinking, Two Year College Students, Community Colleges, Statistics
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Godfrey, A. Jonathan R.; Loots, M. Theodor – Journal of Statistics Education, 2015
Blind students are bound to make up a very small part of the population most university lecturers will encounter during their careers. Research to date shows that good communication between staff and student improves the chances of a successful outcome for both parties. The research does show, however, that the exercise seems to be one of…
Descriptors: Blindness, Teacher Student Relationship, College Students, College Faculty
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Govindaraju, K.; Haslett, S. J. – International Journal of Mathematical Education in Science and Technology, 2008
This article presents a procedure for generating a sequence of data sets which will yield exactly the same fitted simple linear regression equation y = a + bx. Unless rescaled, the generated data sets will have progressively smaller variability for the two variables, and the associated response and covariate will "regress" towards their…
Descriptors: Regression (Statistics), Mathematics Instruction, Equations (Mathematics), Graphs
Sporn, Howard Bruce – ProQuest LLC, 2010
The purpose of this study is to determine whether educators believe mathematics should be taught to liberal arts students, what topics are taught in liberal arts mathematics courses, and what the motivation is for teaching such topics. The study consists of two parts, a review of the opinions of educators regarding liberal arts mathematics, and a…
Descriptors: Mathematics Education, General Education, Logical Thinking, Thinking Skills
Burke; Michael C. – Carnegie Foundation for the Advancement of Teaching, 2007
Quantitative literacy, the ability to discriminate between good and bad data, the disposition to use quantitative information to think through complex problems are capacities that educators across fields should be helping students develop. Burke leads the reader to this conclusion through an extended example of income distribution, clarified and…
Descriptors: Numeracy, Data Analysis, Graphs, Statistics
Conway, Freda – Mathematics Teaching, 1970
Descriptors: College Mathematics, Graphs, Mathematical Models, Mathematics
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Evans, I. Gwyn – Mathematics in School, 1986
Provides an algorithm for determining the median and quartiles of discrete data sets. Describes the graphical equivalent of the numerical method. (JM)
Descriptors: Algorithms, College Mathematics, Graphs, Mathematics Education
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Gordon, Florence – Mathematics and Computer Education, 1987
Sophisticated simulations using computer graphics can lead to students deducing virtually all conditions of the Central Limit Theorem. Eight graphs illustrate the discussion. (MNS)
Descriptors: College Mathematics, Computer Graphics, Computer Simulation, Graphs
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Boger, George – Mathematics and Computer Education, 2005
If larger and larger samples are successively drawn from a population and a running average calculated after each sample has been drawn, the sequence of averages will converge to the mean, [mu], of the population. This remarkable fact, known as the law of large numbers, holds true if samples are drawn from a population of discrete or continuous…
Descriptors: Workbooks, Numbers, Computer Simulation, Spreadsheets
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Goldberg, Samuel – Two-Year College Mathematics Journal, 1975
A method of approximating areas under curves in precalculus courses is described. (SD)
Descriptors: College Mathematics, Computer Programs, Computers, Graphs
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Wegman, Edward J. – International Journal of Mathematical Education in Science and Technology, 1974
The use of computer graphics in an introductory statistics course is described. The advantages over more traditional diagrammatic representations are discussed and an outline is given of two computer-supported graphic display systems. A description is also provided of an experiment, designed to evaluate the influence of such graphic aids. (JP)
Descriptors: College Mathematics, Computer Assisted Instruction, Computer Graphics, Course Descriptions
Weed, Harrison D., Jr. – 1974
This brief text was written to provide more extensive treatment of descriptive statistics than is ordinarily available in modern statistics textbooks. It is intended for use in conjunction with any college level text. The booklet consists of an introduction, three content oriented chapters, and four appendices devoted to computer programming…
Descriptors: College Mathematics, Curriculum, Graphs, Higher Education
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