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  • In this activity, students will perform a t-test to determine if there is a significant difference between the kicking distances of a football filled with helium and one filled with regular air. Questions about the exercise and links to Excel and TI-83 instructions are given. The data exist in Excel, TI-83, and text formats.
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  • In this activity, students will perform a two-way ANOVA to determine if there is a difference in the amount of pressure (in Mpa) it takes to break two different types of laminated composites under wet or dry conditions. Questions about the exercise and links to Excel and TI-83 instructions are given. The data exist in Excel, TI-83, and text formats.
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  • In this activity, students will perform an ANOVA to determine if the longevity of male fruitflies is related to their reproductive cycle. The dataset contains longevity (in days) of male fruitflies in 5 groups: Alone, 1 Interested Female, 8 Interested Females, 1 Uninterested Female, 8 Uninterested Females. Questions about the exercise and links to Excel and TI-83 instructions are given. The data exist in Excel, TI-83, and text formats.
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  • In this activity, students will perform a t-test to see if fecal coliform counts collected from Blackwater Creek in Lynchburg, Virginia differ before and after rain showers. Questions about the exercise and links to Excel and TI-83 instructions are given. The data exist in Excel, TI-83, and text formats.
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  • In this activity, students will calculate confidence intervals for the mean weight (in milligrams) of seed harvester ants for 4 size classes of the ants. Questions about the exercise and links to Excel and TI-83 instructions are given. This data exists in Excel, TI-83, and text formats.
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  • In this activity, students will calculate the mean, median, and mode of the salaries for the Angels and the Orioles baseball players. Questions about the exercise and links to Excel and TI-83 instructions. The data exists in Excel, TI-83, and text formats.
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  • This collection is organized as discussions and activities in the subjects of descriptive statistics, inferential statistics, graphical analysis, and TI-83 and Excel guides. It also includes a section of quizzes. Key Words: Mean; Median; Mode; Normal Distribution; Skewed Distribution; Range; Standard Deviation; Confidence Interval; T-Test; ANOVA; Correlation; Regression; Chi-Square; Probability Distributions; Histograms; Scatterplots; Boxplot.
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  • This interactive module helps students to understand the definition of and uses for clustering algorithms. Students will learn to categorize the types of clustering algorithms, to use the minimal spanning tree and the k-means clustering algorithm, and to solve exercise problems using clustering algorithms.
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  • This interactive tutorial on Exponential Smoothing helps learners understand the use of exponential smoothing, define exponential smoothing, cite the merits and demerits of exponential smoothing, and solve exercise problems using exponential smoothing.
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  • This tutorial includes using, finding, weighting, and solving problems with Moving Averages.
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