And now we move on from probability! Of course we still need to know it for the AP exam, so it never hurts to review. We're at the point where it's time to start preparing...the AP exam is only 2 months (ish) away! We will not finish the curriculum early enough to review in class. There will be reviews after school, maybe over April break, and on one more Saturday, but it is your responsibility to prepare yourself for the AP exam. You cannot cram all this stuff in one night. Start reviewing now! (Not to mention, we will take our universal screen one last time before the AP Exam, and it'll count as a major test grade...so review!)
As for this weekend's homework: please complete the chapter 18 reading quiz provided in class. If you don't have it, you can find the questions below. This will be counted as a quiz grade--there's no reason not to get a 100%!
Chapter 18 Reading Quiz
Use your textbook to answer each of the questions below. Be sure to
write your answers in detail and using appropriate vocabulary.
1. READ THE CHAPTER. The more time you put into
trying to understand this on your own, the better off you’ll be. We will be
moving quickly through the rest of the course, spending no more than 4 days on
this section. These questions are designed for you to prove that you read the
chapter.
2. Define
sampling error or sampling variability. (1
point)
3. Three
conditions are outlined (on
page 413) for a sampling distribution
of sample proportions; name each of these conditions in the space
below, and provide a brief description of each. (2 points)
4. Define the sampling
distribution model for a proportion. That is, provide the formulas/values
for the mean and standard deviation for a sampling distribution model for a
proportion (provided on page 414). Use correct (symbolic) notation. (1 point)
***Try the “just checking” questions on page 415 (and page
422). You don’t need to write anything down, but these are the types of
questions you might be asked. The answers are on page 431 (at the bottom).***
5. Read through the step by step examples on page 416 and
page 423. Your job it to describe a
general step-by-step process that we
can follow to solve these types of
problems. So, do not show me all of the math/work that is done; instead,
look at the examples and provide a numbered,
step-by-step process for how we approach a sampling distribution problem. (2
points)
6. Define the Central Limit Theorem, also known as
the Fundamental Theorem of Statistics.
(page 419). (1 point)
7. Define the sampling
distribution model for a mean. That is, provide the formulas/values for the
mean and standard deviation for a sampling distribution model for a mean
(provided on page 421). Use correct (symbolic) notation. (1 point)
8. Use the following words to fill in the blanks below. (One
word is used twice): (1 point)
Quantitative, Categorical,
Proportions, Means, Normal
“The sampling distribution for
______________ is a ______________ model and is used for
___________________ data. ”
““The sampling distribution for ______________
is a ___________ model and used for
_________________data.”
9. There are three assumptions/conditions that must be met for a sampling distribution of sample means described on page 422.
Provide the names and a brief description of each of these three conditions. (2
points)
10. What is standard
error? (Define it!) (1 point)
11. Use the glossary at the back of chapter 18 to define sampling distribution model. (1 point)
12. List each of the terms provided at the end of chapter 18
(page 427). This is your chapter 18
vocab list. (1 point)
