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  • DIG Stats: TI-83 Guide for Determining the Confidence Interval

    This tutorial explains in detail how to find a confidence interval using the TI-83 graphing calculator.

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  • DIG Stats: TI-83 Guide for Importing Data and Programs

    This tutorial explains in detail how to import data and programs on the TI-83 graphing calculator using TI-83 Graphlink software.

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  • DIG Stats: Excel Guide for Making a 3-D Graph

    This tutorial explains in detail how to make a 3-D graph using the Chart Wizard in Excel.

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  • DIG Stats: Excel Guide for Performing an ANOVA

    This tutorial explains in detail how to perform an ANOVA in Excel.

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  • Dataset Example: DIG Stats: Airport Activity

    In this activity, students will calculate the correlation and generate a scatterplot of the number of passengers flying and the number of performed departures from 135 airports in the US. 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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  • DIG Stats: Cloud Seeding Activity

    In this activity, students will perform a two-way ANOVA on a dataset containing rainfall amounts for seeded and unseeded clouds in each of the 4 seasons. Questions about the exercise are given as well as a link to Excel instructions. The data exist in Excel and text formats.

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  • Dataset Example: DIG Stats: Acid Rain Activity

    In this activity, students will perform a one sample t-test to see if the pH level of rain collected by the EPA is less than the pH standard for acid rain (5.6). Questions about the exercise and links to a t-test applet and TI-83 instructions are given. The data exist in Excel, TI-83, and text formats.

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  • DIG Stats: Health Insurance Activity

    In this activity, students will perform a chi-squared test on the number of people with health insurance by age to determine whether there is a relationship between age and insurance coverage. Questions about the exercise and a link to the DIG Stats Online Chi-Squared Calculator are given. The data exist in Excel and text formats.

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  • DIG Stats: Football Activity

    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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  • DIG Stats: Laminated Composites Activity

    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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