STUDENTS!! SOME OF YOU HAVE EMAIL ADDRESSES THAT I CAN'T RESPOND TO. THEY JUST KEEP BOUNCING BACK:( I NEED TO BE ABLE TO COMMUNICATE WITH YOU! IF YOU HAVEN'T GOTTEN MY EMAILS, OPEN A GMAIL OR YAHOO EMAIL ACCOUNT TO USE FOR THE CLASS. THEN CHANGE YOUR EMAIL ADDRESS IN WEBADVISOR AND MSL. THANKS!
ABOUT THE CLASS
Note: I do not use Blackboard! Our online "classroom" is in MyStatLab. Here's the link:
A tour of MyStatLab conducted by your instructor:)
Use this student notes outline to guide you
HERE'S A STATCRUNCH STEP-BY-STEP GUIDE!
***LABS MUST BE SAVED IN pdf FORMAT AND EMAILED TO email@example.com
Please be sure to label all problem numbers in labs clearly
Monday, August 31 class, sections 1.3-2.2- https://youtu.be/yO4CDR9n8Sc and (there are two) sections 2.4-3.1- https://youtu.be/iuaj-4njsts
Wednesday, September 2 class, section 3.2- https://youtube.com/watch?v=E3a5Lj5RtiM and- https://youtu.be/fAeJ9uuXTMA
and (there are 3)- https://www.youtube.com/watch?v=gEEC9JEqDss
Wednesday, September 9 class- FOUR videos!
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 problem #26 from section 3.4
Video 3 starts with problem #16 from section 3.5. We compare the two data sets.
These regression videos are based on the data: commute time vs. well-being, 4_1_25; bear length vs. bear weight, 4_1_28; credit score (FICO) vs. interest rate 4_1_26.
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.
HELPFUL RANDOM STUFF
Hypothesis test/confidence interval/sample size formula flowchart
Using the binomial and Poisson calculators (chapter 6) in StatCrunch
Using the normal calculator (chapter 7) in StatCrunch
Using the normal calculator in StatCrunch for chapter 8
A step-by-step guide for calculating confidence intervals and sample sizes with StatCrunch
A step-by-step guide for conducting a hypothesis test for a standard deviation with StatCrunch
Here's a website that follows our book and has step-by-step examples with StatCrunch!
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.