- This is more practice like #'s 17/18 from the weekend, or #23 from last night's book work!
- You may want to sketch your Normal model on separate paper since you'll need it to answer the questions on the back, and it may be annoying to keep flipping back and forth.
- Show work on the back!
- Work = show any addition/subtraction you do to find each % (answer)!
- We may end up turning this in tomorrow to be graded; or, I may check it as homework--I'm not sure yet, so be sure to do a great job (as if it were graded) either way!
Here's whats up with #27 for last night's homework:
- Part (a) is asking, IF this were a Normal model, what % of data would fall below one standard deviation? This is all based on the Empirical rule we've discussed--about 16% of data values are more than 1 standard deviation below the mean.
- Part (b) now asks us to consider what this means in context...
- This would suggest that roughly 16% of "weekly tv times" are below -1.27. (mean minus one standard deviation, or 3.66-4.93). Of course this is impossible and doesn't make sense, because we shouldn't have used a Normal model...
- Part (c) gets at why none of this makes sense--of course we can't use a Normal model for this data, because the distribution is not unimodal and roughly symmetric--it's skewed right!
- Questions about 5, 7, 13, or 23? REMIND me!
Wednesday (10/3): Normal percentiles with "normalcdf" and finding "cutoff values" given a % using "invnorm"
Thursday (10/4): finish chapter 6 notes on the Normal model and/or ch. 6 classwork
Thursday (10/4): finish chapter 6 notes on the Normal model and/or ch. 6 classwork
Tuesday (10/9): Chapter 6 classwork: AP FR and MC
Thursday (10/11): Unit 1 Vocab exam, then ch. 6 review
Friday (10/12): Unit 1 Exam (AP FR and MC)
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