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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
Eudey, T. Lynn; Kerr, Joshua D.; Trumbo, Bruce E. – Journal of Statistics Education, 2010
Null distributions of permutation tests for two-sample, paired, and block designs are simulated using the R statistical programming language. For each design and type of data, permutation tests are compared with standard normal-theory and nonparametric tests. These examples (often using real data) provide for classroom discussion use of metrics…
Descriptors: Statistical Distributions, Hypothesis Testing, Relationship, Statistical Significance
Belcher, P. – International Journal of Mathematical Education in Science and Technology, 2008
In this note the Nearest Neighbour Index is investigated in three cases, linear, 2-dimensional and 3-dimensional. In each case the formula is investigated and the numerical values for the data points to be viewed as attracting each other, repelling each other or being randomly distributed are justified. Also, in each of the three cases mentioned…
Descriptors: Probability, Statistical Significance, Regression (Statistics), Geographic Distribution
Lewis, Charla P. – 1999
The sampling distribution is a common source of misuse and misunderstanding in the study of statistics. The sampling distribution, underlying distribution, and the Central Limit Theorem are all interconnected in defining and explaining the proper use of the sampling distribution of various statistics. The sampling distribution of a statistic is…
Descriptors: Estimation (Mathematics), Probability, Sample Size, Sampling
Rennie, Kimberly M. – 1997
This paper explains the underlying assumptions of the sampling distribution and its role in significance testing. To compute statistical significance, estimates of population parameters must be obtained so that only one sampling distribution is defined. A sampling distribution is the underlying distribution of a statistic. Sampling distributions…
Descriptors: Analysis of Variance, Estimation (Mathematics), Sample Size, Sampling
Springer, Robert – Research & Practice in Assessment, 2006
The National Survey of Student Engagement (NSSE) provides participating schools an Institutional Report that includes (among many documents) mean comparisons, frequency distributions, and student respondent data as part of its standard reporting package. Sifting through all this data can leave even experienced researchers wondering where to start…
Descriptors: Effect Size, National Surveys, Learner Engagement, Student Participation
McClure, Charles R.; Lankes, R. David; Gross, Melissa; Choltco-Devlin, Beverly – 2002
This manual is a first effort to begin to identify, describe, and develop procedures for assessing various aspects of digital reference service. Its overall purpose is to improve the quality of digital reference services and assist librarians to design and implement better digital reference services. More specifically, its aim is to: assist…
Descriptors: Electronic Libraries, Evaluation Criteria, Evaluation Methods, Guidelines