Finish reading chapter 18, pages 480-488

From the exercises on pages 489-491, do 6, 17, 19, 21

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Finish reading chapter 18, pages 480-488

From the exercises on pages 489-491, do 6, 17, 19, 21

Read pages 473-479 in chapter 18. We will have a **reading quiz** in class tomorrow featuring the Just Checking questions from this reading. You will be allowed notes!

From chapter 17 (page 472), do exercises 55 and 57

From chapter 16 (pages 489-490), do exercises 5, 7, 9

From pages 470-471, do exercises 38, 43, 44, 45

For my complete answers to the Central Limit Theorem exercises in class, click here.

Finish reading chapter 17, pages 453-464

From the exercises on pages 468-470, do 29, 35, 36, and 39.

Read pages 445-453, up to the section on the Sampling Distribution of the Mean

From pages 465-467, do exercises 6, 11, 13, 15

Welcome to February!

By Monday, please work on the Unit 4 Practice Exam, pages 439-443. Complete the **odd numbered** multiple choice questions, as well as **free response question 2**. Do this on a separate piece of paper; you’ll be trading papers and grading each others’ responses!

We will have our group redo of the Unit 4 test in class tomorrow. The extra credit puzzles you got today should be turned in tomorrow as well.

By Friday, please work on the Unit 4 Practice Exam, pages 439-443. Complete the **odd numbered** multiple choice questions, as well as **free response question 2**. Do this on a separate piece of paper; you’ll be trading papers and grading each others’ responses!

Study for tomorrow’s Unit 4 test. Refer to the review materials posted yesterday, or do some additional review questions from the textbook (I can provide answers to those on request).

Our test on Unit 4 will be on **Wednesday, January 30**.

You got a comprehensive review packet in class today, and I’ll ask that you work on finishing that tonight for homework.

Included in this packet (but not in the link above) is this sheet with some more practice with Chapter 16 specifically, my answers to which can be found here.

The applet for today’s activity can be found here. Using this simulator, find:

- Two
**very different**values of*p*and*n*that create a distribution that you would confidently identify as “normal” - Two
**very different**values of*p*and*n*that create a distribution that you would confidently identify as**“not**normal” - At least one value of
*p*and*n*that creates a distribution that*might*be normal, but you’re on the fence about.

For homework this weekend/next week, please finish reading Chapter 16, pages 423-429, then work on exercises 32, 33, and 34 from page 432.

Out Unit 4 Test will be on **Wednesday, January 30**. We’ll spend Monday and Tuesday after we get back from midterm exams reviewing the unit. Over next week, I recommend you work on the following practice problems from the Unit 4 review, pages 434-439: 5, 16, 20, 21, 23, 25, 27, 28, 37.

First, some more about a big topic that came up at the end of class: The Difference Between an Assumption and a Condition

In order for a *model* (e.g., a normal model or binomial probability model) to be valid for a scenario, we must be able to make certain *assumptions* about that scenario. These assumptions can include the results of individual trials being independent from each other, the distribution of results being sufficiently unimodal and symmetric, etc.

If it is appropriate to make these assumptions, then go ahead and do it. But if it is **not** appropriate to make these assumptions, you can still proceed provided certain *conditions* are satisfied. These conditions mean that the scenario is “close enough” to allow the model to be valid.

For example, coin flips are independent. There is no finite population of coin flips that you are “drawing” a sample from, and so each coin flip’s outcome is independent of the next. Drawing cards from a deck are **not** independent, as the deck is finite and the probability of a certain outcome changes with each card that is removed. However, if the population is large enough, or more specifically *if the sample is small enough in comparison to the population*, then that probability change is very small, small enough to be ignored.

In general, as long as the **sample size is less than 10% of the overall population**, the probability change isn’t big enough to be worrisome. The reason why the magic number is 10% has to do with something called the Finite Population Correction Factor, and a thorough description of where it comes from and how it affects probabilities can be found here.

From pages 431-432, please do 19, 21, 26, and 28.

From chapter 16, read pages 418-423, up to the section titled “The Normal Model to the Rescue!”

From the exercises on pages 430-432, do 7, 10, 12, 17

From page 430, do exercises 1, 2, 4, 9. That’s all!

Tonight, after today’s quiz, please start reading Chapter 16: pages 413-418, up to the section “The Binomial Mode: Counting Successes”

Your quiz on Chapter 15 will be on **Monday, January 14.** There is no special review sheet for this quiz, this time I advise you work on the following problems from Chapter 15’s exercises: 19, 20, 21, 36, 38, 41, 42, 52. You can find my solutions here.

From pages 409-411, do exercises 32, 43, 49, and 53.

There will be a Chapter 15 Quiz on **Monday, January 14**. I would advise you also start working on the quiz review questions of: 19, 20, 21, 36, 38, 41, 42, 52

Finish reading chapter 15 – pages 400-407

From the exercises on pages 409-411, do 39, 45, 47 (skip part c), and 55.

Continue reading through chapter 15, pages 395-400 (up to the section on Continuous Random Variables)

From the exercises on pages 407-408, do 5, 23, 27, 29, and 35.

Start reading Chapter 15, pages 389-395, up to the section “More about mean and variances”

From Chapter 14 (page 388), do exercise 52

From Chapter 15 (pages 407-407), do exercises 3, 7, 9, 12.

Finish reading chapter 14, pages 371-383. From the exercises on pages 384-388, do 16, 22, 36, 51