mathematics-statistics
PART 1 OVERVIEW
In this project you are asked to conduct your own research into two variables that interest you. This project will give you an opportunity to apply the skills and techniques you learn in this class and to produce a professional report using appropriate technology. This is a MAJOR, on-going assignment and is worth 15% of your grade; the equivalent of one unit exam grade.
Your projects will be graded in stages (Part 1, Part 2, Part 3) according to the attached rubrics.
To be successful on your project you must:
· Read and follow instructions carefully.
· Work according to the timeline provided and submit work on time.
· 10% will be deducted for each calendar day the project is submitted after the due date. A project is considered “submitted” when it is available for the professor to view on Canvas. No credit is given after 5 days late.
· Students who fail to submit earlier parts of the project may still submit later parts of the project as long as their topic has been approved by their instructor and as long as they collect their own data. Points will still be taken away for lack of completeness unless those prior sections are completed and included.
· Write clearly, using appropriate terminology and accurate mathematical notation. College-level writing is expected, as is the use of correct grammar.
· If you need help with writing, feel free to use the HCC Writing Center: For further information, see the HCC Web page under the heading “Writing Center” or call the Writing Center at (443) 518-4101. PGCC students at the Laurel College Center should see the PGCC Writing Center for assistance.
· Submit a neat, professional report typed using your choice of word processing software (including a mathematical notation package) and including printouts and diagrams from your choice of statistical software/technology.
· In particular, embedded graphs or charts and/or computer printouts will be expected as part of the report. Hand-drawn graphs are not acceptable.
· Please note: Excel should be used only with caution as it does not consistently follow accepted statistical practices.
· Original work is expected. This means that students who are repeating the course are expected to create an entirely new project using two new variables of interest.
· For example, you might watch a YouTube video on how to use StatCrunch or have a peer show you how to create a histogram using a different data set (not the one in your project), then try it yourself with your data set. You might consult your textbook or your instructor about a concept, but then put the explanation into your own words.
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