Wed nes day

This feels weird....there is no homework tonight.....

So what should you do? 

• Get stamps! Complete the "check conditions" additional stamp I provided in class today

• Do it = 1 stamp
• Check answers below and grade yourself/make corrections IN A DIFFERENT COLOR= 1 stamp
• No different color, no extra stamp
• Extra extra stamp question:
• Define the parameter (of interest) that the professor would want to estimate and provide the symbol
• Define the sample statistic calculated (in words) and provide the symbol for this
• These answers are not provided, I'll take a look tomorrow...

• Extra Stamp Answer Key:
• This is a random sample of 244 students at his college.
• (244)(0.44) = 107.36 is > 10
• (244)(1 - 0.44) = (244)(0.56) = 136.64 is greater than 10
• 244 is probably less than 10% of all students at this college.
• A sampling distribution for proportions is appropriate.
• *Be sure to name the type of sampling distribution!

• Get more stamps! 

• I've extended the AP Stat Guy stamp opportunity--this will not only get you some stamps (3), but it'll also help to strengthen your understanding of what a sampling distribution is!
• Watch the AP Stat Guy "Intro to Sampling Distributions" video (linked below) and take notes!
• Turn in your notes to me on Monday for some stamps! (They must be thorough/detailed--no laziness. Lazy = no stamps).
• AP Stat Guy: Intro to Sampling Distributions (Click Me!)

Today's Class Recap:

• Stamp = Conditions practice -- determine type of sampling distribution and why it cannot be used (which condition fails)
• Back to ch. 18 Notes:
• What is a sampling distribution?
• Back to our applets to (further) investigate how sampling distributions work--we used the applets to figure out....
• 1.) How might our sampling distribution change if we used samples of size 1? Of size 5? 
• 2.) What if we use larger samples--of size 100 (instead of 10)? How would this affect our sampling distribution? 
• 3.) How can we connect this idea to our conditions (for proportions)?
• 4.) What happens if we change our population parameter (p) to 0.75? To 0.25?
• Means
• 5.) What if the population is not a bell-curve?
• Finished class by defining sampling distribution
• Tomorrow it's on to some math and seeing how we use this stuff in practice!
• Here are the links to the applets we explored in class today!

• AP Stat Applets: Choose Reeses Pieces for today's sampling distribution! CLICK ME! I'm a link! 

• Sampling Distributions Applet (used for means)! Click me, yo!

Here's the plan for the coming days, in case you're curious:

• Wednesday (2/6) = more sampling distributions discussion, another applet
• Thursday (2/7) = define shape, center, spread of each sampling distribution, sampling distributions examples (and the 68/95/99.7 rule) 
• Friday (2/8) = more sampling distribution notes/examples
• Monday (2/11) = chapter 18 vocab quiz, sampling distribution FR and MC
• Tuesday (2/12) = chapter 18 "math" quiz? take home quiz?, chapter 19 intro notes (confidence intervals!)
• Weds. (2/13) to Friday (2/15) = chapter 19 notes/discussion/examples: confidence intervals for proportions!