# MAT115 Project Fall 2016 30 points Due Monday December 12, 2016   Using the data collected by your peers, preform all appropriate statistical analyses (graphical,…

MAT115 Project

Fall 2016

30 points

Due Monday December 12, 2016

Using the data collected by your peers, preform all appropriate statistical analyses (graphical, numerical summaries, tests, Confidence Intervals, etc.) to test the following:

1.       Is a MAT115 student’s GPA affected by the number of days a week they get less than 5 hours of sleep?

2.       According to the Bureau of Labor Statistics’ American Time Use Survey, college students spend 3.3 hours a day engaged in educational activities.  Is the number of hours MAT115 students spend a day engaged in educational activities greater than 3.3?

3.       According to the Bureau of Labor Statistics’ American Time Use Survey, college students spend 0.8 hours a day grooming.  Does the number of hours MAT115 students spend a day grooming differ from 0.8? Assume ơ=0.5.

4.       According to the U.S. Department of Transportation, 45% of people get their driver’s license before they turn 18.  Is the percentage of MAT115 students who got their driver’s license before they turned 18 greater than 45%?

5.       Does the number of hours a dayDA students spend watching Netflix differ from the number of hours a day DB students spend watching Netflix?

The project will be graded based on the following:

1.       AssumptionsAbility to make and evaluate important assumptions in data analysis

2.       RepresentationAbility to convert relevant information into various formats (e.g., diagrams, tables, words, equations, graphs)

3.       Calculations

Note: No work associated with any mathematical computations should be included in the write up for any question.

4.       InterpretationAbility to explain quantitative information presented in various formats (e.g., diagrams, tables, words, equations, graphs)

5.       Application / AnalysisAbility to make judgments and draw appropriate conclusions based on the quantitative analysis of data, while recognizing the limits of this analysis

6.       CommunicationExpressing quantitative evidence in support of the argument or purpose of the work (in terms of what evidence is used and how it is formatted, presented, and contextualized)

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