Tonight please complete the following in your textbook:
Page 127-128: 41, 43, 45 (Extra Credit Problems: 33, 35)
- Remember, we use normalcdf( if we have a Normal model, are given some data values, and are asked to find a % or probability
- We use invnorm( if we have a Normal model, are given a percentile/% above/% between, and are asked to then find the data values that "cutoff" the given %
- We must write normalcdf(#, #, #, #) as our work or invnorm(#,#,#)--if we do not write the invnorm or normalcdf we do not get credit!
- For each problem show:
- Normal model (shaded)
- Normalcdf or invnorm( with what you typed in
- Circle your final answer; pay attention to converting decimals/%'s
- The more effort you put into tonight's homework the more prepared you'll be to ace tomorrow's classwork!
We've finished all the new content! And this is the end of the unit! So here's the plan...
Thursday: Discuss normalcf and invnorm in more depth (finish chapter 6 notes)
Friday: Chapter 6 classwork! Let's do some AP Free Response and AP MC in groups to prep for our test next week!
Monday (10/16): Unit 1 Vocabulary Exam (30 minutes) followed by a little review; I'll also be after school until about 3:15 on Monday to review for our "math test" on Tuesday.
Tuesday *(10/17): Unit 1 Exam (AP free response and multiple choice).
Wednesday to Friday: Start Unit 2--Linear Regression
Wednesday to Friday: Start Unit 2--Linear Regression
- Tuesday night's homework will be to review/study the "Linear Regression" stuff we covered in the summer, as this will not be re-taught in class (and we'll have a quiz on it next week!)
- If you missed the summer academy you will have to catch up on all of this!
- I will be after school on Wednesday to review the summer stuff regarding linear regression (which is also reviewing for the chapter 7 quiz we'll probably have on Friday 10/20)
1 comment:
I found the Text book online but it's the 3rd edition so be careful about the questions https://www.chino.k12.ca.us/site/handlers/filedownload.ashx?moduleinstanceid=26467&dataid=45087&FileName=Stats%20Modeling%20the%20World.pdf
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