Assignments

*** Study Tips for a Successful Course Experience!!! Please read:

The primary goal of this course is to make the task of learning statistics as easy and painless as possible.

The course materials will provide you "with a number of opportunities to practice the techniques you will be learning in the form of Learning Curve, Examples, Demonstrations, and end-of-chapter problems.

Read the text rather than just memorizing the formulas.

The key to success in a statistics course is to keep up with the material. Each new topic builds on the previous topics. If you have learned the previous material, then the new topic is just one small step forward. Without the proper background, however, the new topic can be a complete mystery. If you find you are falling behind get help immediately.
You will learn (and remember) much more if you study for short periods several times per week rather than to try to condense all of your studying into one long session. For example, it is far more effective to study half an hour every night than to have a single 3 1/2 hour study session once or twice a week.
Test yourself regularly while you are going through the chapter ~ use the provided self-check tools within the chapter.
Be sure to attend the 1 hr. class follow up (via ZOOM) ~ where discussion and more challenging problem sets will be discussed and explained.

Learning Curve:

Once you finish reading the chapter and completing the end of chapter exercises. Use Learning Curve to consolidate you knowledge of chapter contents before moving to the next chapter. Here's a short video introduction:

Please make your own weekly study schedule!

As I just stated above, statistics is one of those subjects that you can't fall behind in. Each concept builds on the previous one and is sequential.

Here's an example of a suggested study schedule, make your own depending on your availability and work schedule.

Monday to Thursday

Start working through the assigned chapter in small segments; complete the in chapter questions & examples .
Start the CHAPTER materials & exercises ~ there are many options --> pick what works for you (flash cards or practice materials or ...) don't try to do them all.

Thursday/Friday

Finish chap (if not done) and some of chapter problems (a few from each section). Be sure to jot down any questions you may have for the online ZOOM session
Work through the LEARNING CURVE materials, practice exercise. Make sure you understand the concepts ~ don't sleep walk ~ stay focused.

Friday/Saturday

Relax
Catch up / get ahead
Finish / review / or do whatever is left

Sunday to following Sunday

Take the quiz (ideally after your weekly ZOOM session)
You have 1 hour for the weekly quiz (20 - 25 questions ).
Write one of your bi-weekly posts (self-reflection journal) on Mighty Network (https://edpe575.mn.co) ~ post two or three paragraphs (max.):
- What did you learn this week? How did you learn it?
- What questions remain unclear?
- If you were the professor, what questions would you ask to determine if your students understood the material?
- Comment on one or two peer blogs/posts

Attend ONE of the following ZOOM weekly online sessions (to be updated in Nov. '19 after surveying the students

Session 1 date and time TBD in January
- typically this will include 15-20 minute review of main concepts from chapter ~~ plus work through, in small groups in breakout rooms with your TA.
- We strongly recommend that you do the chapter quiz right after the weekly live session before starting to read the next chapter
Session 2 date and time TBD
Session 3 date and time TBD

Breakout rooms will be created for part of the time in order to work with Bryan, Maren, Rebecca. Sam & Dom will float 'virtually'
Attendance for virtual component is compulsory in order to ensure success for all. One of the challenges of taking an online course is to make sure that you feel connected with your peers, the way you would if you were in a regular classroom. We should be able to build a sense of community by using ZOOM and Mighty Network.

We will go through the first set of activities together during the first class ~ so everyone is comfortable. Don't worry.
Another neat feature of the modules; is that you will have the opportunity to also try things out by watching short clips (30/40 seconds) followed by actual practice. Here's 2 screenshots from chapter 1. If you get the right answer the LMS moves you along ~ if you don't ~ you get more help and examples. I guarantee you will love this, as you get to move at your own pace

Assignments & Assessment ~ this will be updated in November after dept. mtg

1. Three individual Assignments (15%)

first assignment will deal with descriptive statistics (problem set or article) ~ due week 5
second assignment will deal with probability & hypothesis testing (problem set or article) ~ due week 8
third assignment will deal with variance, correlation or regression (problem set or article) ~ due week 12

2. Chapter /Modules Quizzes (40 %)

End of chapter Learning Curve14 activity ~ (20%)
13 end of chapter quizzes ~ (20%) ~

3. Exams (35 %)

Mid-Term: chapters 1 to 6 ~ done in week 6 online (10%)
Final Exam: chapters 7 to 15 ~ done during exam period ~ either online or face to face --> (25%)

4. Weekly contributions to the class(10%): ---> discussion, participation, group work, helping others & attending or watching the 1 hr weekly check-in on ZOOM

either LIVE (Mondays @ 7pm or Tuesdays at 10 am) OR watch the recording when posted.
this involves bi-weekly posts on Mighty Network (https://edpe575.mn.co), asking questions and helping peers, the posts may include:
- Give your posts a catchy or revealing title and keep them to 2 or 3 paragraphs.
- You post may also include self-reflection:
  - Ask questions so they can be explained
  - What did you learn this week? How did you learn it? What questions remain unclear?
  - If you were the professor, what questions would you ask to determine if your students understood the material?
- Comment on one or two peer blogs.
~~posting on Twitter using #statsinyourlife and/or #edpe575,~~
working in small groups, working in an online community

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