12 SL: Variance & Standard Deviation

Complete the following questions before our next class.

(red textbook)
Exercise 12J questions 1, 3, 6, 13, 17 (13 and 17 are challenge questions)

Also (while we almost got to this yesterday), we can also calculate the variance and standard deviation (and the mean value) for a binomial distribution (which then answers the question: if we were to repeat this experiment several times, how “spread out” would our results be?). The formulas for these are given in the textbook (and the formula booklet). All you need to know is when (and how) to use them. See the questions below.

(black textbook)
20F questions 2, 4, 5

12 SL: Intro to Statistics

Read Chapter 11 of the red textbook and come prepared after the break with any questions you have about that material. Pay particular attention to 11B (the definitions in 11A for types of sampling error are less critical, but you should be able to recognize when a sample is likely to be biased).

Then, complete the following questions.

Exercise 11D questions 2 and 4
Exercise 11F question 1

Exercise 12A questions 2b and 13
Read section 12B.
Exercise 12C questions 2 and 5
Exercise 12D questions 6 and 7

11 HL: Vector Equations of Lines, etc.

Complete the questions below before tomorrow’s class.

Exercise 12N.3 questions 2, 5
Exercise 13C question 8
Exercise 13D questions 3, 5
Exercise 13E question 5
Exercise 13F.1 questions 1de, 8, 9 (you don’t need to use row reduction here)
Exercise 13F.2 questions 1de
Exercise 13F.3 question 1b (this is a challenge question)

11 HL: The Cross Product

Complete the questions below before our next class.

Exercise 12N.1 questions 1, 4, 8, 10
Exercise 12N.2 questions 3, 4, 5

We haven’t talked about the content of this next section, but if you want to get a head start you can have a look at the questions below.

Exercise 12N.3 questions 2, 5