Any outstanding/missing/late homework assignments from the past week can/must be turned in by TUESDAY for credit. ALL homework must be graded using the keys on the blog for credit. (See past blog posts for each assignment).
This weekend please complete the "Collecting Data: Take Home Exam" provided in class or linked below.
- Collecting Data Take Home Exam
- Use your notes, textbook, and other resources! Take advantage of this opportunity to start the quarter with a strong test average!
- There is especially NO reason to get any of the vocab matching wrong!
- Also, as you do this, use the take home test as a means to STUDY FOR TUESDAY'S TEST!
- Be sure to look over/use all of the FR/MC/Examples we've completed in class this past week to prepare for our test!
Extra Credit FR (due Monday):
- You can complete question 2 (on the back of last night's homework) for extra credit!
- You must have the correct answers for extra credit!
- Part A = create a segmented bar graph!
- The "relative frequency" is the same as the "%" (look at how the y axis is labeled numerically)
- Part B = math question!
- Use proportional reasoning to determine how many people we should sample that said "yes" if we're sampling from the 300 ppl who said "yes" or "no."
- Your answer is a #! "_____ people."
Notes/Resources for Weds-Fri:
- Friday: we completed the 2011 FR (linked below) in class; take a look at some sample answers too!
- All of you should definitely read this!
- Sample Responses for 2011 FR! Read this!
- Thursday: we completed the linked classwork assignment; this was collected and graded. If you were absent, use the notes below to complete this and turn it in tomorrow. You can print it or write your answers on separate paper.
- Here are Thursday notes--definitions for each type of bias:
- Here is another resource we used Thursday--definitions for the "parts of an experiment" and the example from our midterm exam--this is definitely something to use for Tuesday:
- And here are our examples from Wednesday's class/discussion/note: writing about bias