## Weekly outline

- General
- 2 September - 8 September
### 2 September - 8 September

**Tuesday - Thursday -**Take orientation quiz

Take pre-test

Hand out book

Rules

read pages 1 - 5

**Wednesday -**go over pages 2 and 3

pg. 6; 1, 2, 5, 6, 7, 9 , 10 - 34 evens

**Thursday -**p. 7 - 8; 35 - 44, 46 - 48

**Friday -**Take Orientation Quiz online

start assignment 1.1 online

- 9 September - 15 September
### 9 September - 15 September

**Monday -**Finish 1.1 online

Read through Chapter 1.2

We will go over Qualitative and Quantitatve

p. 13 - 15; 1, 2, 7 - 14, 27 - 32

**Tuesday -**go over nominal, ordinal, interval, ratio

p. 13; 3 - 6, 15 - 25, 33, 34

Finish homework 1.2 on MathXL

Read chapter 1.3

**Wednesday -**Chapter 1.3 Open on MathXL

Experimental or Observational

p. 24 - 26; 1, 5, 11 - 14, 38

Confounding variable, blinding, randomization, replication

p. 24 - 25; 4, 6, 15, 16

**Thursday -**census, sampling, sampling error, random sample, simple random sample

p. 24 - 26; 2, 3, 8, 18, 19, 20, 31, 32

Stratified sample, cluster sample, systematic sample

p. 24 - 26; 7, 9, 10, 21, 23 - 30, 33 - 36, 40

**Friday -**Work on Chapter 1 Review

and/or work on Chapter 1 Pre Test

- 16 September - 22 September
### 16 September - 22 September

**Monday -**read page 28 and discuss in class

p. 30 - 31; 1 - 29 odd

Finish 1.3 online

Work on the chapter 1 review online

p. 32; 1 - 8

**Tuesday -**Download lockdown browser!

Quiz online

p. 33; 1 - 6

**Wednesday -**Test online at mathxlforschool

p. 34; 1 - 3

Chapter 2 Pretest optional

**Thursday -**2.1

Start on 2.1 online

example 1; 1 - 2, 7, 8, 11, 13,

example 2; 4, 5, 15, 17, 29, (16, 18, 30 optional)

**Friday -**(pepfest)

example 3; 3, 10, 19, 20, 31, (32, 33, 34 optional)

example 4 and 5; 25, 26, 37, 45 (35, 36, 38 optional)

- 23 September - 29 September
### 23 September - 29 September

**Monday -**2.1

Start on 2.1 online

example 1; 1 - 2, 7, 8, 11, 13,

example 2; 4, 5, 15, 17, 29, (16, 18, 30 optional)

**Tuesday -**example 3; 3, 10, 19, 20, 31, (32, 33, 34 optional)

example 4 and 5; 25, 26, 37, 45 (35, 36, 38 optional)

**Wednesday**finish 2.1 online

example 6; 6, 9, 21 - 24, 27, 28, 39 - 43 odd, 46 (optional 40 - 44 evens)

**Thursday -**Start 2.2 online

example 1; 2, 5, 6

example 2; 9, 17, 21, 41, 42

**Friday -**example 3; 3, 7, 8, 11, 33, 34

example 4; 15, 25, 39

example 5; 4, 13, 16, 27

- 30 September - 6 October
### 30 September - 6 October

**Monday -**example 5; 35, 37, 38, 40

example 6; 1, 29

example 7; 14, 31

Finish 2.2 online

**Tuesday -**examples 1, 2, 3, 4, 5;

1 - 3, 5, 6, 7, 8, 17, 21, 25, 29, 31, 33

**Wednesday -**example 6, 7, 8;

4, 9 - 16, 35 - 40, 41, 43, 47 - 49, 51, 54, 57, 61 - 64, 66

**Thursday -**2.3 online due

**Friday -**2.4 online open

example 1, 2, 3;

1, 3, 4, 5, 6, 9, 10, 11, 12, 13, 15, 17,

- 7 October - 13 October
### 7 October - 13 October

**Monday -**example 4, 5, 6, 7;

7, 8, 19 - 21, 22, 25, 28 - 35, 37, 38

**Tuesday -**example 8, 9, 10;

43, 44, 47, 49, 50, 51, 52, 53

**Wednesday -**##### using the TI-84 for the Mean and Standard Deviation of a grouped frequency distribution

p. 97; 39 - 42

p. 101; group activity, Use google sheets

2.4 online due**Thursday -**2.5 online open

Example 1, 2, 3;

p. 109 - 113; 1, 5, 7, 8, 9, 11 - 14, 53, 54

**Friday -**example 4, 5, 6;

p. 109 - 113; 2, 3, 4, 6, 15 - 29 odd, 30 - 38, 55

- 14 October - 20 October
### 14 October - 20 October

**Monday -**example 7, 8;

p. 109 - 113; 10, 39 - 52, 57, 58

**Tuesday -**finish up 2.5 online

Review

p. 116 - 119; 1 - 48 every fourth is assigned, but any additional problems you do will help you for the quiz and test.

p. 120; 1 - 7

work on online review

**Wednesday -**Start Quiz

**Thursday -****MEA****Friday -****No School** - 21 October - 27 October
### 21 October - 27 October

**Monday -**Finish Quiz

**Tuesday -**Finish test

**Wednesday -**example 1, 2;

1, 4, 7, 11 - 17, 21 - 24, 31 - 33, 57 - 60

**Thursday -**example 3, 4, 5, 6;

8, 18, 19, 20, 25 - 28, 35, 36 - 40, 47 - 50, 55, 56

**Friday -**example 7, 8, 9, 10, 11

2 - 6, 9, 10, 41 - 46, 51 - 54

- 28 October - 3 November
### 28 October - 3 November

**Monday -**3.1 online due

3.2 open

3.2 p. 152 - 156

examples 1, 2;

1 - 3, 5 - 18

p. 152 - 156**Tuesday -**examples 3,4,5;

4, 19 - 32

**Wednesday -**p. 152 - 156; 33 - 40

Kahn Academy has some videos on false positives. You can check them out starting with this one.

Here's #37 Bayes Theorem

3.3 online open

**Thursday -**Finish yesterday's material and online

**Friday -**Finish yesterday's material and online

- 4 November - 10 November
### 4 November - 10 November

**Monday -**No School

**Tuesday -**3.2 online due

3.3 p. 162 - 165

examples 1, 2

1 - 12

**Wednesday -**examples 3, 4, 5

p. 162 - 165; 13 - 29 odd

**Thursday -**p. 162 - 165; 14 - 30 evens

3.4 online open

**Friday -**3.3 online due

- 11 November - 17 November
### 11 November - 17 November

**Monday -**3.3 online due

3.4 p. 174 - 177

1, 4, 7, 8, 13, 14, 19 - 30

**Tuesday -**p. 174 - 177

example 4, 5, 6

2, 3, 5, 6, 9 - 12, 15 - 18, 31 - 41, 49 - 54

**Wednesday -**examples 7, 8

p. 174 - 177

42 - 48, 52 - 62

ketchup and finish online

**Thursday -**3.4 online due

Work on Review p. 180 - 184

**Friday -**Chapter 3 Quiz

- 18 November - 24 November
### 18 November - 24 November

Chapter 3 Quiz**Monday -****Tuesday -**Chapter 3 Test Start

**Wednesday -**NHS ceremony

**Thursday -**Finish test

**Friday -**4.1 online open

Example 1; 1 - 17 odd

Example 2; 19 - 23 odd

- 25 November - 1 December
### 25 November - 1 December

**Monday -**Example 3 and 4; 25 - 28

Example 5 and 6; 29 - 33 odd

**Tuesday -**Example 7; 35 - 39 odd, 41, 42

4.1 online due

**Wednesday -**Finish 4.1 online

- 2 December - 8 December
### 2 December - 8 December

**Monday -**4.2 online open

Example 1; 1 - 4, 11 - 14

Example 2; 15, 17, 20

4.1 online due

**Tuesday -**Section 4.2 cont'd;

16, 18, 21

Example 7; 23, 26

Example 8; 7 - 10, 27 - 32

**Wednesday -**Section 4.2 cont'd;

19, 24, 33, 34

4.2 online due

**Thursday -**4.3 online open

p. 220 - 222

example 1; 1 - 4

example 2; 5 - 10

Determine whether you would use Geometric, Poisson or Binomial Distribution for 11 - 26.

Solve 11 - 15, 18 - 20, 24 - 26

**Friday -**p. 222; 27 - 32

- 9 December - 15 December
### 9 December - 15 December

**Monday -**Review for quiz

**Tuesday -**Chapter 4 quiz

Prepare for Chapter 4 Test

**Wednesday -**Finish the quiz

Review for Test

**Thursday -**Chapter 4 Test

5.1 online open

**Friday -**p. 242 - 245; Section 5.1

Example 1; 1 - 7, 57

Example 2; 9, 11 - 16

Example 3; 10, 39, 40, 59, 60

- 16 December - 22 December
### 16 December - 22 December

**Monday -**Finish the test

**Tuesday -**p. 242 - 245; Section 5.1

Example 1; 1 - 7, 57

Example 2; 9, 11 - 16

Example 3; 10, 39, 40, 59, 60

**Wednesday -**p. 242 - 245;

18 - 38 even

41 - 56

**Thursday -**Finish online

**Friday -**p. 249 - 251; 1 - 20

5.2 online open

- 30 December - 5 January
### 30 December - 5 January

**Thursday -**p. 251; 21 - 24

Finish 5.2 online

**Friday -**p. 257 - 259

5.3 online open

example 1; 1 - 8, 17, 18, 23, 24

example 2; 9 - 16

example 3; 31 - 40

- 6 January - 12 January
### 6 January - 12 January

**Monday -**example 4; 19 , 20, 25, 26

example 5; 21, 22, 27 - 30, 41, 42

**Tuesday -**Finish 5.3 online

**Wendesday -**p. 269 - 273

example 1; 1 - 6, 11

example 2; 7 - 10, 19, 20, 25, 26

5.4 online open

**Thursday -**example 3, 4; 15 - 18, 29 - 32

example 5; 27, 28

**Friday -**example 6; 33 - 42

Finish 5.4 online

5.5 online open

- 13 January - 19 January
### 13 January - 19 January

**Monday -**example 1, 2; 1 - 4, 17 - 22

example 3, 4, 5; 5 - 8, 9 - 16

**Tuesday -**example 3, 4, 5; 23 - 34

Finish 5.5 online

**Wednesday -**Review and finish up 5.5 online

**Thursday -**Chapter 5 Quiz

**Friday -**Review for Test

- 20 January - 26 January
### 20 January - 26 January

**Monday -**No School

**Tuesday -**Review for test and finish Quiz

**Wednesday -**Finish Test

**Thursday -**One Act play

**Friday -**example 1, 2, 3; 1, 2, 9 - 12, 25 - 28, 33, 34

6.1 online start

- 27 January - 2 February
### 27 January - 2 February

**Monday -**example 4; 5 - 8, 13 - 16, 35 - 45

example 5; 17 - 24

**Tuesday -**example 6; 29 - 32, 47- 49, 51, 53, 55, 56

57 - 60

6.1 online due

**Wednesday -**Finish online

**Thursday -**Section 6.2

example 1, 2; 1 - 8, 13 - 16

6.2 online open

**Friday -**example 3, 4; 9 - 12, 17 - 22, 25 - 29, 31, 32, 34 - 38

- 3 February - 9 February
### 3 February - 9 February

**Monday -****Tuesday -**Finish online 6.2

**Wednesday -**Section 6.3

example 1, 2, 3, 4; 1 - 16

6.3 online open

**Thursday -**p. 326 - 328; 17 - 25

**Friday -**p. 328; 27 - 31

finish online

- 10 February - 16 February
### 10 February - 16 February

**Monday -**Section 6.4

p. 334 - 335; 1 - 16

Video to use the calculator to find your chi squared critical values

**Tuesday -**p. 335; 17 - 27

finish 6.4 online

Review for quiz and test**Wednesday -**

Chapter 6 Quiz**Thursday -****Friday -**Review

- 17 February - 23 February
### 17 February - 23 February

**Monday -**Review

**Tuesday -**Chapter 6 Test

**Wednesday -**example 2, 3; 8, 21 - 24, 31 - 42

**Thursday -**example 4, 5; 9, 10, 43 - 51 odd, 53 - 60

Finish 7.1 online

**Friday -**example 4, 5; 9, 10, 43 - 51 odd, 53 - 60

Finish 7.1 online

- 24 February - 1 March
### 24 February - 1 March

**Monday -**example 4, 5; 9, 10, 43 - 51 odd, 53 - 60

Finish 7.1 online

**Tuesday -**Section 7.2; p. 373 - 376

7.2 online open

example 1, 2; 3 - 18, 25, 26

**Wednesday -**example 6, 7; 19 - 24, 27 - 36

**Thursday -**example 9, 10; 1,2, 37 - 44

finish up 7.2 online

**Friday -**Finish up online

- 2 March - 8 March
### 2 March - 8 March

**Monday -**Section 7.3

7.3 online open

examples 1 - 3; 1, 3 - 10

**Tuesday -**examples 4, 5; 11 - 22

Section 7.3

**Wednesday -**example 6; 23 - 31

7.3 online due

- 9 March - 15 March
### 9 March - 15 March

**Monday -**Finish 7.3 online

**Tuesday -**7.4 online open

p. 391 - 392; 1 - 19 odd

p. 391 - 392; 2 - 20 even**Wednesday -****Thursday -**Section 7.5

7.5 online open

p. 400 - 401

examples 1 - 3; 2, 3, 5 - 16

**Friday -**p. 400 - 401

examples 4, 5, 6; 17 - 24

- 16 March - 22 March
### 16 March - 22 March

**Monday -**Review

7.5 online closed

**Tuesday -**Chapter 7 Quiz

**Wednesday -**Finish Quiz

**Thursday -**Chapter 7 Test

**Friday -**Finish Chapter 7 Test

- 23 March - 29 March
### 23 March - 29 March

**Monday -**Section 8

8 online open

example 1, 2, 3; 1, 3, 4, 5 - 14

8.1 Example 1 video talking about dependent and independent.

8.1 Example 2 video talking about what 2 sample testing is

Here is # 11

Here is # 15

Here is # 27For problems 29 and 30 use 2-sampZInt on your calculator

**Tuesday -**Cont'd

15 - 19 odd, 20 - 26 even

27 - 30

**Wednesday -**Finish up 8 online

**Monday -**Section 8.2

p. 432 - 433; 1 - 12

8.2 online open

8.2 Example 1 video 2-sample t-test (listening to this video it sounds like I am destroying my keyboard!! I will try to type quieter next time! :) )

8.2 Example 2 video 2-sample t-test where the variances are equal

**Tuesday -**p. 432 - 433; 13, 15, 16, 18, 19, 22 - 26

**Wednesday -**Section 8.3

8.3 online open

Section 8.3 Example 1 video

Section 8.3 Example 2 video

For problems 23 and 24 use Tinterval on your calculator

p. 442 - 443; 1 - 9, 11, 13

**Thursday -**p. 444 - 446; 14, 15, 18, 21 - 24

**Friday -**Section 8.4

8.4 online open

Example 1 video

Example 2 video

For problems like 21 and 22 use 2-prop z interval on your calculator or use the formula given and do the problem by hand. Your choice!

p. 451 - 452; 1, 3 - 12

**Monday -**p. 452 - 453; 13 - 22

**Tuesday -**Review

**Wednesday -**Chapter 8 Quiz

**Thursday -**Chapter 8 Test

**Friday -**Finish Chapter 8 Test

**"**Make sure you read through all of this before you begin work this week. The material isn’t more difficult but it is DIFFERENT and if you just hop right to the online you may struggle with this chapter.

That video will turn your r and r squared values on when you perform the lin reg tests

Notes

X is the independent (or explanatory) variable and Y is the dependent (or response variable)

Positive correlation means that as x increases so does y

An example of this is when the food for bunnies increase the population of bunnies increase

Negative correlation means that as x increases y decreases

An example of this is when the population of coyotes increase the population of bunnies decreases.

No Correlation means that there is no noticeable connection between x and y.

An example of this would be the number of bunnies in an area as x and the number of mice in the same area y. Basically the increase in one shouldn’t affect the number of the other.

The last one is a non linear correlation. Y = x squared would be an example of this. There is a relationship but it isn’t linear.

It’s important to point out here that just because there is a Coorelation that doesn’t mean that there is Causation. Often times when an x goes up a y will go up with it but they are not causing each other. There may be some other circumstance that is causing them BOTH to go up.

For instance when ice cream sales go up so do drownings!!!! If you look at a chart of ice cream sales when the sales are the highest so are the number of people who drown!! If you just look at the data you could come to the conclusion that one is causing the other but that would be a mistake! It turns out that there is another variable that affects both of them. Temperature is the other variable. When the temperature rises more people buy ice cream. When the temperature rises more people go swimming.

People make this mistake all the time about mistaking Correlation with Causation. Causation means one thing causes another to rise or fall. Correlation just means that when one goes up so does the other or the opposite.

The topic of Causation vs Correlation is more advanced than this course but if you go into Statistics in College they will spend more time on it. Also you could look at page 480 for more information or you could watch this video or similar videos if this topic interests you!

MORE NOTES

Alright back to topics in this class. Here are some notes.

Range of correlation is from -1 to 1

-1 would be a very strong negative relationship (when x goes up y goes down)

There are many different ranges for correlation depending on what resource or book you look at.

Here’s one I found off the web that we can use for our class.

So if you have a .8 r value would be a very strong correlation or association.

-.8 r value would be very strong also

.27 would be weak association or correlation and so on.

Hypothesis testing -

Just like we’ve done in previous lessons there are two ways to determine if we are going to reject Ho. The first way and the way the online does it is it finds a critical t value. For these problems since the have TWO sets of data your d.f. Is going to be n - 2!! Then you can just put it into your calculator like this

Lin Reg T test. Example 7 on page 479 also like the later problems in the online assignment

9.2 NOTES!!

Video - Using your calculator to find a regression line and to figure out if the y-value for certain x-values. This video also describes what it means to be a meaningful x-value.

In order to predict y-values from given x-values the correlation between variables must be significant. Meaning the r-value must present a Strong Correlation. Also, x-values must be in the range of your data (or close) to the range of your data to get y-values that mean something.

Video on Residual plots and what they mean

Exponential Equation

y=abx use ExpReg on your calculator

Here is #39 Same as a couple later problems in the online

Power Equation

y=axb use

Here is #43 Same as a couple later problems in the online

9.3 NOTES!

The first topic in 9.3 talks about deviation from the regression line. So we already know that the r-value tells you how significant a regression line is towards your data. The higher the absolute value of the r-value the more significant the association or correlation.

There is also another value that the calculator gives us its the r2value. This is called the coefficient of determination (p. 499).

The r2value is telling us about the variation. If you remember 2is variance so there is a slight connection to what we were doing.

Anyways the r2value is telling us how much of the total variance can be explained! 1 - the r2value is unexplained and will be due to factors outside of our study like sampling error, coincidence or lurking variables.

In example 1 on page 499 we have an r value of .912 which is a reference back from example 4 in section 9.1. This gives us an r2value of .832. So for this data there is about 83.2% of the variation in the carbon dioxide emissions that can be explained by the relationship between the gross domestic products and carbon dioxide emissions.

Example 2 Calculating the standard error.

Example 3 Calculating the Prediction Interval.

For number 10 in the online just use lin reg T test

For number 11 online they give you the two different formulas to use for y-intercept (B) and slope (m)

Here is #37 it’s also like online #11

HOPE this all helps. This is a pretty new section so don’t hesitate to ask questions!!!

**"****Monday -**9.1 online open

Chapter 9.1

Examples 1, 2; p. 481 - 482; 1, 2, 9 - 20

**Tuesday -**Examples 3, 4; p. 481 - 483; 3, 4, 5, 21 - 30

**Wednesday -**Examples 5, 6, 7; p. 481 - 483; 7, 8, 31 - 36

Finish 9.1 online

**Thursday -**Section 9.2

9.2 online open

p. 490 - 491; 1 - 21

**Friday -**p. 492 - 493; 22 - 30

- 30 March - 5 April
### 30 March - 5 April

**Monday -**p. 492 - 493; 22 - 30

**Tuesday -**p. 494 - 495; 31 - 48

**Wednesday -**Section 9.3

Section 9.3 online open

p. 504 - 505; 1 - 15

**Thursday -**p. 506 - 507; 16, 17, 20 - 25, 26, 27, 30

Youtube prediction interval example

**Friday -**p. 507 - 508; 31 - 37

- 6 April - 12 April
### 6 April - 12 April

**Monday -**p. 508 - 509; 35 - 37

**Tuesday -**How to do Multiple Regression line on Google Sheets

p. 512; 1 - 4

9.4 online

**Wednesday -**p. 513; 5 - 7

**Thurssday -**p. 516 - 517; 1 - 12

**Friday -**p. 518 - 519; 13 - 18

- 13 April - 19 April
### 13 April - 19 April

**Monday -**p. 520 - 521; 1 - 9 and 1 - 9

**Tuesday -**Chapter 9 Quiz

**Wednesday -**Finish Chapter 9 Quiz/Start Chapter 9 Test

**Thursday -**Finish Chapter 9 Test

- 20 April - 26 April
### 20 April - 26 April

**Monday -**Easter No Schol

**Tuesday -**Section 10.1; p. 532 - 533; 1 - 11

**Wednesday -**Section 10.1; p. 534 - 535; 12 - 16

**Thursday -**p. 535; 17, 18

Finish 10.1 online

**Friday -**finish online

- 27 April - 3 May
### 27 April - 3 May

- 4 May - 10 May
### 4 May - 10 May

**Monday -**Finish up 10.3 online

**Tuesday -**Section 10.4

p. 565 - 567; 1 - 9

**Wednesday -**p. 566 - 568; 12, 14 - 18

**Thursday -**19 - 21 finish up online material, review

**Friday -**Review exercises p. 572 - 573

1 - 7

- 11 May - 17 May
### 11 May - 17 May

**Monday -**Book Review p. 574 - 575; 8 - 22

**Tuesday -**Work on online review

**Wednesday -**Chapter 10 Quiz

**Thursday -**Chapter 10 Test

**Friday**Finish Chapter 10 Test

- 18 May - 24 May
### 18 May - 24 May

**Monday -**AP Stats test

**Tuesday -**AP Stats test cont'd

**Wednesday -**finish AP Stats test