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Gorard, Stephen; White, Patrick – Statistics Education Research Journal, 2017
In their response to our paper, Nicholson and Ridgway agree with the majority of what we wrote. They echo our concerns about the misuse of inferential statistics and NHST in particular. Very little of their response explicitly challenges the points we made but where it does their defence of the use of inferential techniques does not stand up to…
Descriptors: Statistical Inference, Statistics, Statistical Significance, Probability
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Aaberg, Shelby; Vitosh, Jason; Smith, Wendy – Mathematics Teacher, 2016
A classic TV commercial once asked, "How many licks does it take to get to the center of a Tootsie Roll Tootsie Pop?" The narrator claims, "The world may never know" (Tootsie Roll 2012), but an Internet search returns a multitude of answers, some of which include rigorous systematic approaches by academics to address the…
Descriptors: Statistics, Hypothesis Testing, Mathematics, Mathematics Education
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Liu, Xiaofeng Steven – International Journal of Mathematical Education in Science and Technology, 2012
The statistical power of a significance test is closely related to the length of the confidence interval (i.e. estimate precision). In the case of a "Z" test, the length of the confidence interval can be expressed as a function of the statistical power. (Contains 1 figure and 1 table.)
Descriptors: Statistical Analysis, Intervals, Statistical Significance, Statistics
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Kozak, Marcin – Teaching Statistics: An International Journal for Teachers, 2010
Asterisks should not be used to indicate if the result of a hypothesis test is significant.
Descriptors: Hypothesis Testing, Statistics, Mathematical Concepts, Mathematics Instruction
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Dawson, Robert – Journal of Statistics Education, 2011
It is common to consider Tukey's schematic ("full") boxplot as an informal test for the existence of outliers. While the procedure is useful, it should be used with caution, as at least 30% of samples from a normally-distributed population of any size will be flagged as containing an outlier, while for small samples (N less than 10) even extreme…
Descriptors: Spreadsheets, Educational Technology, Simulation, Mathematics Activities
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LeMire, Steven D. – Journal of Statistics Education, 2010
This paper proposes an argument framework for the teaching of null hypothesis statistical testing and its application in support of research. Elements of the Toulmin (1958) model of argument are used to illustrate the use of p values and Type I and Type II error rates in support of claims about statistical parameters and subject matter research…
Descriptors: Hypothesis Testing, Relationship, Statistical Significance, Models
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Lawton, Leigh – Journal of Statistics Education, 2009
Hypothesis testing is one of the more difficult concepts for students to master in a basic, undergraduate statistics course. Students often are puzzled as to why statisticians simply don't calculate the probability that a hypothesis is true. This article presents an exercise that forces students to lay out on their own a procedure for testing a…
Descriptors: Hypothesis Testing, Probability, Learning Activities, Statistics
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Wiseman, Frederick – Teaching Statistics: An International Journal for Teachers, 2004
This article describes an example which is useful when teaching hypothesis testing in order to highlight the interrelationships that exist among the level of significance, the sample size and the statistical power of a test. The example also allows students to see how what they learn in the classroom directly affects the content of some of the…
Descriptors: Television Viewing, Hypothesis Testing, Statistics, Mathematics Instruction
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Forbes, Sharleen – Teaching Statistics, 1996
This article describes the organization and results of the 1990 New Zealand Children's Census. This census, which preceded a National Census, provided a powerful tool for raising statistical awareness nationwide. (Author)
Descriptors: Elementary Education, Graphs, Mathematics Instruction, Statistical Analysis