"Great Courses" article link and assignment is below.  Worth the read, even if I hadn't assigned it to you.  :)
"Not Even Scientists Can Easily Explain P-Value" by Christie Aschwanden; November, 2015.  Interesting read.  But don't get discouraged... we will continue our quest to understand the awesome idea of a p-value! 
Misleading Graphs assignment attached below.  Full directions contained within the document.  Trust me... it won't be difficult to find misleading graphs... unfortunately they are a lot more prevalent than they should be.
News Report assignment attached below.  Can we really trust what we hear reported on the news?  Let's find out.
Observation vs. Experiment assignment attached below.  Tom Naughton's way of explaining the difference is just fun.  Enjoy.
"If the World were 100 People" video.  This is a video that will make you think.  Some of the statistics that are presented were surprising to me.  I will be interested to hear/read about your thoughts and opinions on the video.
Confidence Intervals Practice Problems.  Yipee!  I just LOVE confidence intervals.  Hopefully these practice problems will help you better your understanding of what CI's are, how they work, why they work, and why we LOVE them.
One and/or Two Proportion or Mean Hypothesis Testing Problems.  More Inference!  It doesn't get much better than that.  My intent is to give you more practice with hypothesis testing to help you master the concept to the best of your ability.
Sampling Distributions, Proportions.  We will use a variety of applets this semester, including Rossman/Chance.  In this Rossman/Chance activity, you will discover cool characteristics about sampling distributions relating to proportions.  Have fun!
Sampling Distributions, Proportions, Video.  This YouTube video is about 20 minutes.  It explains why sampling distributions are such as essential concept in the study of statistics.  Your assignment is to take 1 page of hand-written notes while you watch the video.  Then, at the bottom of your notes, I want you to come up with a Tweet (remember, 140 characters maximum) of the biggest take-away you got from this video.  Make your 140-characters count/make them meaningful.  Here's the link (the video is called The Math Behind the Polls):
Sampling Distributions, Means (Heights).  So just how good are we at estimating a population parameter?  As you will see, we are pretty darn good!
See No Evil, Hear No Evil.  This activity if fun and interesting.  We will learn so many concepts within this one activity... variability, inference, variability, describing a distribution of univariate numerical data (SOCS), variability, sampling distributions... did I say variability yet?  :)
Correlation Partner Activity.  Correlation.  Gotta love it.  But we also gotta understand it!  Hopefully this activity does just that.  Happy learning!
1 in 6 & Books Simulation Activities.  Simulations can be an amazing help in statistics for a myriad of reasons (why do YOU think they can help us understand the world around us?); and these two activities are fun as well.
ESP Coin Flipping Activity.  Do you have ESP?  Let's find out... and learn some statistics along the way.
Random digits table.  We will use the RDT as one way to truly choose a sample randomly, or to truly assign (in an experiment) randomly, thus reducing bias.  A RDT is attached below.

Rossman/Chance Applets Website.  We will use this throughout the semester.  They have some amazing simulation applets.

WHFreeman Website.  Another excellent online study option.  They have many free/open resources available including practice quizzes, applets, etc.  Check it out.
Larry Green's Website.  This site provides practice in recognizing the correct procedure to use in a given situation (TTest, 2-PropZInt, Chi Square Goodness of Fit, etc.).  Go to the site, then choose Practice Classifying Statistics Problems, then choose all options.  GREAT Practice!!!  Click on ‘search quizlet’ and type in Statistics.  There will be MANY (50+) practice sets that are available to you.  You can choose to study/review via flashcards, speller, test, scatter, space run…. Try them all.  They are all fun and effective study tools.
TED (Technology, Entertainment, & Design) Talks
If you have never watched a TED Talk, you are missing out!  Below are some TED talks that deal with statistics that (1) you should watch; (2) I will probably assign you to watch; (3) will make you think.  Enjoy.
Assignment:  Watch this 15-minute TED talk and answer the following four questions:  (1)  In your opinion, how do the concepts of 'missing data' and 'lurking variables/confounding variables' relate?  (2) Consider your chosen field of study/your future career.  What type of 'missing data' might you now consider when carrying out a task/responsibility in your future job/career?  (3)  What is meant by '180 degrees wrong?'  (4)  What was the most interesting part of this TED talk?  Each response must be written in complete sentences, using correct grammar and spelling.  Each response must be at least 2-3 sentences.  POINTS:  10 maximum points possible.

Hans Rosling The Best Stats You Have Ever Seen.
Assignment:  Watch this 20-minute TED talk and answer the following questions:  (1)  In the TED talk, Dr. Rosling refers to a confidence interval of the mean number of correct answers provided by Swedish students as  1.8 ± 0.4.  What is the value of 0.4 considered/what is it called?   (2)  Consider Dr. Rosling's discussion of the scatterplot describing fertility rate and life expectancy (from 1962 to 2003);  describe the scatterplots using DOFS for both 1962 and 2003.  (3)  Briefly explain what Dr. Rosling meant near the end of the TED talk when he said, "... get them (the data) into graphical representations where you can instantly understand them."  (4)  Why do you think the title of the TED talk was "The Best Stats You Have Ever Seen"?  Each response must be written in complete sentences, using correct grammar and spelling.  Each response must be at least 2-3 sentences.  POINTS:  10 maximum points possible.
No Assignment.  Just for your enjoyment.
Peter Donnelly, How juries are fooled by statistics.
No Assignment.  Just for you to ponder and think.

David McCandless, The Beauty of Data Visualization.
Assignment:  Watch this 18-minute TED talk and answer the following questions:  (1)  Discuss a graphical representation that David McCandless used that you (to date) had not seen/used and how you found it interesting/useful to interpret the data with which it was used.  (2)  Do you agree (or disagree) with David McCandless' philosophy of visual knowledge compression?  Why or why not?  (3)  McCandless discussed an app; would you get/use this app?  Why or why not?  Each response must be written in complete sentences, using correct grammar and spelling.  Each response must be at least 2-3 sentences.  NOTE:  If you have trouble with the link working, just google David McCandless The Beauty of Data Visualization.  POINTS:  10 maximum points possible.
Chris Jordan, Turning Powerful Stats into Art.
 No Assignment.  But, you really should watch this short video; it's pretty amazing.