In this Section, we're going to learn about how we can determine probabilities for a proportion and how that applies in Hypothesis Testing and making inferences.
Again, I'm going to leverage what we've already seen about how CHANCE affects what the possible outcomes are in a random process (like flipping a coin or drawing a random sample), so if you haven't already reviewed your Buzz and Doris notes, do so now! :)
Get ready: Print out the blank notes: 7.3: The Central Limit Theorem
Open StatCrunch and sign in: www.statcrunch.com
Next: Watch the video on Section 7.3: Video, Part 1
Video, Part 2
Note: TYPO alert! I mistakenly used p = .127 instead of p = .128 in the second half of the notes and video...arghhh! All the explained concepts are correct so just go with the .127.
Here are the filled-in notes: 7.3 Notes Filled In
Finally: Do the assigned homework problems in 7.3