MATH 221 Week 2: Homework, Lab plus Discussion (Fall 2018)
MATH 221 Week 2: Homework Results
MATH 221 Week 2: Lab
Statistical Concepts that you will learn after completing this iLab:
- Using Excel for Statistics
- Shapes of Distributions
- Descriptive Statistics
- Empirical Rule
MATH 221 Week 2 Discussion: Regression
The list given below describes the 5 REQUIRED posts per week in this course. It does not matter which order you post in so long as you post on 4 different days, with the first post no later than Wednesday. Finally, ALWAYS put the same headers that are given below at the TOP of your post so that we quickly recognize what you are doing.
Analytical Post: Pick ANY even multi-part problem from ANY chapter 9 section exercise set, and solve it here. State the problem, show your work and provide a narrative explanation (a paragraph) of what you did and what it means. DO NOT attach files in order to show work or images. Embed the image in the workspace. Use the equation editor to show the math, if needed. Feel free to attach spreadsheets if you’d like to share with others though.
Learning Outcomes Post: Visit the week’s Introduction page in the Module area and pick a Course Objective to demonstrate for us here. Include the text of the Objective in your post. Use the same guidelines given above in accordance with how they apply to the objective and enabler(s) you choose. Did I mention writing a full paragraph?
Statistics In The News Post: Search for a news item that is applicable to this week’s Course Objectives. Again, write one or more paragraphs explaining in detail why this news item corresponds to our course objectives this week.
Professional Post: Find a way to connect our coursework to your current or intended career. If you can use data from work and run it through whatever statistical mill we are playing with this week, go for it. … is a relevant problem from the book to solve, work it out. If there is a research journal article that is relevant, write a paragraph about it. Get creative.
Engagement Post: Respond in a substantive way to one of your student colleagues post. If analytical, offer a different solution method or technology. Extend the conversation with news or research articles that add value to the conversation. Your post must meet the same requirements as have been posted here with respect to post type.
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Name: Jennifer Lucas
Status: Online ⬤
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