STUDENTS!! I NEED TO BE ABLE TO COMMUNICATE WITH YOU! USE YOUR NVC EMAIL ACCOUNT AND READ IT REGULARLY! This is where I've been sending messages to you!
First, thoroughly read the syllabus, below. I recommend you print it out and have it handy to refer to, or come back and read it about once a week. Be sure to re-read the part about lab assignments before you do a lab assignment.
Then, if you haven't yet, go to the NVC homepage and click "Students" in the dark green horizontal stripe toward the top of the page. Then go down to "Online Education". If you have a Canvas account, click on the "Canvas" link toward the top right that's next to a round orange thingy (that's a technical term) and login. If you're new to Canvas, click the "New to Distance Education" link that's toward the middle of the page. If you need help, contact Brandon Tofanelli at email@example.com or 256-7154. I wish I could be of more help to get you in, but I'm relatively new to Canvas myself.
Once you're in Canvas, you should see "Math 232 Hybrid, Spring 2018" in there. If you don't, I'm still doing some work on our "classroom" so will be taking it offline for brief periods of time. In Canvas, you'll see that there is an announcement from me posted. I will be posting all announcements in this location. On the left side of that page, you'll see "MyLab and Mastering". Click that link to set up an account (or use a current account, if you have one) for Pearson's "MyStatLab". You can buy a MyStatLab access code from the bookstore or purchase it directly online from Pearson (using a debit or credit card or a PayPal account) after you set up your account. There's also a free 14 day free trial period if you're short on cash. When you're asked to pay, it shows the two options, "Access Code" and "Buy Online". Underneath those, in really small font is a link to choose the free 14 day trial option. Be advised that in 14 days, your MSL account will be shut down until you pay. However, all of your work will be saved.
In MSL under the "Discussions" button on the left, I have our first chat posted. It's due NEXT Sunday, January 28. All homework due dates are set.
Okay, I think that's all for now. Questions? Shoot me an email and if I can't help, I'll refer you to someone who can.
ABOUT THE CLASS
The course syllabus
Students' notes packet
Note- I give a copy of this notes packet to my campus students. They are not complete notes, but a skeleton for which you add your own notes around. They're also an indicator of what I emphisize, plus StatCrunch pathways for each section. This class is VERY vocabulary heavy! I can't emphasize enough, study the vocabulary!
LABS and LAB KEYS
Lab 1 key
NOTE: LABS MUST BE SAVED IN pdf FORMAT AND EMAILED TO firstname.lastname@example.org
Label all problem numbers in labs clearly and put problems in order!
HELPFUL RANDOM STUFF
6.2 homework, #13
Calculating several z-scores at once using StatCrunch
HERE'S A STATCRUNCH STEP-BY-STEP GUIDE!
***I constructed these step-by-step StatCrunch guides for YOU! Please use them!
The binomial and Poisson calculators (chapter 6) in StatCrunch
The normal calculator (chapter 7) in StatCrunch
The normal calculator in StatCrunch for chapter 8
Calculating confidence intervals and sample sizes with StatCrunch
Conducting a hypothesis test for a standard deviation with StatCrunch
Why the symbol in H1 is crucial in hypothesis testing
Regression with StatCrunch
Here's a website that follows our book and has step-by-step examples with StatCrunch!
Hypothesis test/confidence interval/sample size formula flowchart (good for the base of your final exam note sheet)
Log on to Course Compass
PowerPoint lectures with the author of our text, Michael Sullivan
Excellent statistics help by Khan Academy
More stats help from Wolfram Alpha
The mathematics behind the Birthday Problem
Some Normal distribution examples. The first is an application of IQ scores as used by NVC's learning specialist and the second is how normally distributed global temperatures are changing due to global warming. In the second example, note how the change in the mean shifts the distribution left/right while the change in standard deviation changes the shape/width of the curve.
VIDEOS (These are kind of out-of-date, but the concepts are the same)
and (there are two) sections 2.4-3.1- https://youtu.be/iuaj-4njsts
and (there are 3)- https://www.youtube.com/watch?v=gEEC9JEqDss
Video 1 starts with additional examples of The Emperical Rule and Chebyshev's Theorem
Video 1 - Quartiles and the five-number summary
Video 2 starts with section 3.4
Video 3 starts with section 3.5. We compare the two data sets.
These regression videos are based on these data sets: commute time vs. well-being, bear length vs. bear weight, credit score (FICO) vs. interest rate.
Video 1 is half of the class where the other video was consumed by the camera. Greedy bugger. It's about r values and scatterplots.
Video 2 starts with some homework questions about r values and z-scores. We discuss the overall steps of the linear regression process.
Video 3 starts with some estimation and goes through the total overall error.
Video 4 begins with a regression homework problem and finishes up the process started in video 3.
This video is all about probability, most of chapter 5.