Happy Halloween!

Great work today! Hopefully we all start with some A's for our 2nd quarter grades!

If you were out, today in class we worked on some multiple choice...you can find these questions under our classroom resources (entitled Chapter 9 (and review) MC (Friday's Classwork)). If you do these questions this weekend, you won't have to worry about making anything up when you're back!

As for homework, please complete the following in your textbook:

Page 213: 11-15 (including the evens...no 12/14, no credit!)

I'll be checking this on Monday...and it's going to count as a double homework assignment! Don't get a 0!

Enjoy your weekend! Be safe! And jam to this song! My Halloween Jam

Or watch Hocus Pocus, the best Halloween movie ever.

Thursday HW

If you have not yet turned in your stamps tomorrow is your last opportunity to do so!

Today in class we...

• Reviewed how to make a histogram with our stamp problem!
• Discussed which point was the most influential (for our year vs. average marriage age homework from the past 2 nights)
• Nearly finished our chapter 9 powerpoint/notes
• Discussed what an outlier is
• Hypothesized about how a point will influence r, R^2, slope, and y-intercept based on its leverage and residual
• Compared regression data (r, R^2, slope, y-int) to determine if a point was influential

Tonight, please complete the following in your textbook for homework:

Page 213: 1, 7, 9

And here's tomorrow's homework in case you'd like to get a head start:

Page 213: 11 - 15 (all of them! and this will count as a double homework, our first hw of the 2nd quarter!)


See you all tomorrow!

When'sDay

Today in class we started our chapter 9 notes...

• Discussed interpolation vs. extrapolation
• Re-defined what an outlier is in a scatterplot
• Defined and discussed leverage
• Use last night's homework to determine if a point is influential (continued with tonight's hw)

Tonight, please complete the worksheet provided in class (starting with question 6); question 6 is a continuation of last night's homework. For the "reading questions," use your textbook to look up each answer!

If you lost yours or you were absent, here are the questions!

• **1-5 were last night's homework
• **6 and the reading questions are tonight's homework!

1.       Sketch a scatterplot and a residual plot for the data provided in the space below. Label your axes for each.

2.       Calculate the correlation coefficient, coefficient of determination, and the equation of the LSRL.

3.       Add the point  (1977,24) to your data (and your scatterplot above). Now record the correlation, coefficient of determination, and regression equation.

4.       Remove this point (1977,24). Instead, add (2010,22.5). Record the correlation, coefficient of determination, and regression equation.

5.       Remove this point (2010,22.5). Instead, add (1968,18). Record the correlation, coefficient of determination, and regression equation.

6.       Which point had the most influence on the equation of the line of best fit? Explain your reasoning referencing each of the statistics calculated above.

 (1977,24)

(2010,22.5)

(1968,18)

Chapter 9 Reading Questions (look these up in your notes and/or your textbook!)

1.       In your own words, what is extrapolation?

2.       In your own words, define leverage.

3.       What does it mean for a point to be influential?

4.       How can we define an outlier in a scatterplot?

5.       Define lurking variable.

 

Also, here is tomorrow's homework (in the textbook) in case you'd like to get ahead:

Thursday HW: Page 213: 1, 7, 9

Tuesday...

Today we had our last test of the quarter...hopefully you aced it! I'm hoping to get them all graded tonight; no promises though. You will have them by Thursday at the absolute latest.

If you were absent today you will have to make up the test tomorrow or Thursday (or you will get a 0). If you do not have a study hall or cannot come after school, you will have to take the test during class time.

Tomorrow we'll start talking about chapter 9, and exploring outliers and influential points!

Tonight, for homework, please complete the worksheet provided in class. If you lost it, you can find the data and questions below.

• Note: this is the same data we used on our stamp problem yesterday, showing the average marriage age for American women based on the year.
• Again, YEAR should be the X variable and AVERAGE MARRIAGE AGE should by our Y variable.

1.       Sketch a scatterplot and a residual plot for the data provided in the space below. Label your axes for each.

2.       Calculate the correlation coefficient, coefficient of determination, and the equation of the LSRL.

3.       Add the point  (1977,24) to your data (and your scatterplot above). Now record the correlation, coefficient of determination, and regression equation.

4.       Remove this point (1977,24). Instead, add (2010,22.5). Record the correlation, coefficient of determination, and regression equation.

5.       Remove this point (2010,22.5). Instead, add (1968,18). Record the correlation, coefficient of determination, and regression equation.

Chapter 7/8 Test Tomorrow!

Tomorrow is our last test of the quarter! Study, study, study!

Today in class, we:

• Reviewed how to "describe an association." (test question)
• Checked our homework answers (key below) and answered any remaining questions on the homework
• Watched the "AP Stats Guy" video about R^2 (check out the link on the right!)
• Started chapter 9 notes!

Here's a breakdown of tomorrow's test: 11 multiple choice, 7 open-ended (complete sentences), 2 "short answer"

•  Know how correlation changes if we switch units, convert all x/y to z-scores (standardize), or switch the axes (r stays the same!)
• Find the equation of the LSRL:
• With a graphing calculator (given data)
• Algebraically
• Reading a cpu output
• Calculate a residual
• Identify which (of 5) statements has a mistake in interpreting r (correlation)
• Calculate a predicted value
• Identify the correlation given a scatterplot
• Interpret:
• Slope
• Y-intercept
• R^2
• Determine if a linear model is appropriate (check a scatterplot, residual plot, 2 quantitative variables)
• Describe an association (shape, direction, strength)
• Interpret the meaning of a coordinate pair (like the summer assignment question about temp. and ice cream sales)
• Identify points on a scatterplot with the largest/smallest x or y value

And lastly, here's a copy of the homework answer key so you can use it to study!

Homecoming Weekend!

This weekend, please complete the test review I provided in class! This will count as a double homework, so do it! I'm definitely checking!

If you lost yours or you were absent, you can find it under our classroom resources entitled, "Chapter 7/8 Review."

Now, my two cents on what happened...

I know I joked around with some of you about what happened yesterday. I did not realize the seriousness of the issue at that time. What happened yesterday in the cafeteria was the opposite of safe, respectful, and responsible. As students, if you want to be treated like adults, if you want to be respected as equals, you must act that way. This weekend, be safe. Be smart. If you want to enjoy the fun activities that come with being an upperclassmen, you must act like an upperclassmen. I'm confident that most of you were not the instigators, and many of you were not even involved. It's a shame that you have to be lumped into a whole group. However, it is your responsibility to be leaders, and to act responsibly and refuse to support or participate in such stupidity. Every single one of you is better than that.

I love you guys. Keep being great people. But no more disappointing acts. Don't let irresponsible classmates make bad decisions and ruin things for everyone. If you know someone is going to do something, talk them out of it. If that's not an option, tell someone. Otherwise, everyone is to blame.

Alright, off my soapbox.

Have a great weekend! Enjoy!

Ch. 8 Vocab Quiz Tomorrow!

Vocab quiz tomorrow! Today we learned how to write the LSRL equation algebraically. Tomorrow, after the quiz we'll do a couple more classwork problems, and then we'll have a test review for homework.

Tonight, your only homework is to study for the vocab quiz!

Here's a vocab list for tomorrow's quiz:

1. Response Variable
2. 3 things we should describe to "describe the association/scatterplot"
3. Outlier
4. "Is a linear model appropriate?" (what 3 things should we check)
5. Slope
6. Y-Intercept
7. Linear Model
8. Least Squares Regression Line
9. Predicted Value
10. Overestimate
11. R^2/Coefficient of Determination
12. Residual

Great work today!

Hump DayyyyyY!

Excellent work today in your groups! Keep up the hard work so we can ace this test (on Tuesday)!

Tonight, please complete the following in your textbook:

Page 245: 1, 5, 11abcd, 17

If everyone in the class (by period) does their homework, there will be no homework tomorrow--other than to study for your vocab quiz! So do it!

Tomorrow we'll get back to work and finish learning chapter 8--how to write a regression equation algebraically. Then, on Friday we'll have our vocab quiz and do some more practice! Monday we'll review/start the next chapter, and Tuesday is our test!

See you all tomorrow!

Here's a vocab list for Friday's quiz:

1. Response Variable
2. 3 things we should describe to "describe the association/scatterplot"
3. Outlier
4. "Is a linear model appropriate?" (what 3 things should we check)
5. Slope
6. Y-Intercept
7. Linear Model
8. Least Squares Regression Line
9. Predicted Value
10. Overestimate
11. R^2/Coefficient of Determination
12. Residual

Twosday Homework

Good afternoon! Good work today! We've been moving at a solid pace...if we keep it up, we should have a couple weeks left in May to review/study for our AP exam together!
Tonight, please complete the following in your textbook:

Page 193: 35, 47, 49

For those of you who were out today...

• We learned how to read a computer output to write the regression equation, find R^2, and find r. This shows up in #47 on your homework.
• The slope is always the coefficient to the x-variable.
• The y-intercept is the "intercept" or "constant" coefficient.
• Ignore everything else!
• We also talked about R^2, the coefficient of determination. To interpret R^2 on your homework, use the writing template below:
• "_R^2__% of changes in ____(response variable)____are based on changes in ___(explanatory variable)____. Other factors may include ____(describe other contributing factors; consider the context___."

Tomorrow we'll do some AP free-response and multiple choice in groups. Wooo!

Back to WorK!

Spirit week continues tomorrow...I expect to see only Giants' jerseys in my classroom...

Tonight, please complete the following in your textbook:

Page 193: 33, 39, 41 (skip 41B, we haven't learned R^2 yet)

Today we talked about how to interpret slope and y-intercept (after our quiz)...tomorrow we'll learn how to interpret R^2 and read a computer output...

Weekend HW!

No AP problems this weekend....

Please complete the worksheet provided in class--a recap of many of the things we've learned so far in chapter 8.

• If you were absent or lost yours, the homework can be downloaded under our classroom resources, entitled, "Ch. 8 Recap: Weekend HW!"
• For those of you who told me you'd be absent, the 2 worksheets I gave you are the weekend homework (talk to your classmates for some help!)

What did we do today in class?

• Stamp problem--Is a linear model appropriate?
• We reviewed/recapped how to answer this question and how to create residual plots on our graphing calculator.
• We also discussed how to sketch a residual plot from a graph, or how to sketch a graph given a residual plot
• We then made a list of "what we need to know" for chapter 8
• We discussed how to interpret y-intercept (next comes slope and R^2)

See you all on Monday! You'll start with a two question quiz when you walk in....be ready! These will be the questions...

1. Is a linear model appropriate?
2. Find the regression equation. Define the variables.

Thursday HW...

It's almost the weekend already!

As for today, nothing better than some AP Stats homework, some sweatpants, and the couch on a rainy day like today...

Tonight, please complete the following in your textbook:

Page 189: 3, 15a, 17a, 31abcd, 43ab

• This looks like more than it actually is. Remember, if you are asked, "is a linear model appropriate?" you want to check a residual plot. For 15a the residual plot is given. For 31c and 43b you will have to create the residual plot on your calculator
• For 43a, "create a model to predict %bodyfat from weight" means to find the equation of the line of best fit, with weight as the x-variable and %bodyfat as the y-variable.
• This means that you are ignoring the "waist (in)" data for this question!
• For 31, some ages have multiple prices. For instance, the age "1 year" has 2 prices listed. To enter this in your calculator you will need to put two "1's" in L1. One point is (1, 12995) and another is (1, 10950).
• So L1 would look like this....1, 1, 2, 3, 3, 4, 4, 5, 5.....etc.
• For 17a and 31d, remember that we just need to take the square root of R^2 to find r

Tomorrow we'll wrap up our discussion/investigation of residuals and residual plots, and start talking about how we interpret slope, intercept, and R^2. Woooo!

See you all tomorrow!

Back to Work Tomorrow!

Tomorrow we'll get back to some residuals...we'll have to learn how to create, read, and analyze residual plots to determine if a linear model is appropriate...

Tonight, please complete the following in your textbook (if you didn't already finish them yesterday or today in class...)

Page 189: 7, 11a, 13, 14bc, 27abcfg,  39a

I hope you all enjoyed your AP seminars or sleeping late or Connections games....two more days of hard work before the weekend! See you manana!

Tuesday HW!

Back to work after a long weekend! I know these days are always the toughest to get through...but we did it!

Period B--Tonight, please complete the following in your textbook. These problems will be checked on Thursday.

Page 189: 7, 11a, 13, 14bc, 27abcfg,  39a

• **To do 27f and 27g, you will need the LSRL equation; look at the answer for D in the back of the book to find this equation!

Periods E and F: No homework! (because we actually have class tomorrow).

Enjoy sleeping late or AP Seminars or PSAT's or Connections activities! See you all tomorrow or Thursday!

Long Weekend!

This weekend, please complete the 2 AP problems provided in class--2004#1 and 2012#1 (or below). You must look at the scoring rubrics and grade your questions to receive homework credit!

• Complete each question (we've learned everything we need for these questions, so you can do all parts!)
• For some "real" practice, time yourself! Try to finish each question in (at most) 15 minutes.
• Look at the scoring rubric: grade each component/part as E (essentially correct), P (partially correct), or I (incorrect) based on the rubric
• Then, use the rubric to give yourself a score, 1 through 4!
• Here are the links to the scoring rubrics (if they don't work for some reason, just start typing the exact wording of the question into google and you'll find the scoring rubric):
• 2004 Scoring Rubrics
• 2012 Scoring Rubrics

On Tuesday we'll get back to work and start discussing some new, more challenging concepts! (Like residuals and residual plots).

I've also posted the Unit 1 Test data summary below, in case your curious.

Other than that, enjoy the long weekend! Get your homework done early so you don't have to worry about it Monday! And good luck if you're taking the SAT's tomorrow!

 

Want some extra credit? Do the following on separate paper and turn it in to me on Tuesday at the start of class. You must show every step of "the work" for extra credit.

1. Find the z-score for your test score.
2. Find the percent of students who score below you on the test (based on the Normal model). (This is your percentile)
3. Write at least 3 sentences summarizing the overall performance on the test (using the data above) and 1 sentence about your own performance on the test.

Quiz Tmrw! And hmwrk!

Tonight, please complete the following in your textbook (this is a little studying for your quiz!):

Page 160: 15, 29

Here's a breakdown of exactly what's on tomorrow's quiz so you can get prepped:

• Vocab Quiz (all multiple choice):
• Explanatory/Predictor Variable
• Response Variable
• Scatterplot
• Correlation
• Outlier
• Lurking Variable
• What 3 conditions do we check to determine if a linear model is appropriate?
• What 3 aspects do we discuss when we "describe an association?"
• "Math" Quiz (open-ended)
• Sketch a scatterplot (using your calculator)
• Calculate r (using your calculator)
• Describe the association (look at the stamp problem we did today as a guide!)
• Identify errors in 2 statements made about correlation
• Identify a potential lurking variable behind an association

Wins day HW

Tomorrow we'll do some classwork and finish up our chapter 7 notes. On Friday we will have a chapter 7 quiz--both some open-ended math problems and a vocab quiz!

Tonight, please complete the following in your textbook:

Page 160: 13, 19, 21, 23, 25

• For 13a and 21a, remember there are three things to consider to decide if it's appropriate to use correlation: we need 2 quantitative variables, our scatterplot should be roughly linear, and there shouldn't be any outliers
• For any questions that ask you to describe the correlation/association of a scatterplot (13b, 19, 21b), remember you should talk about the shape, direction, and strength. Then, add some context ("Generally, as _____ increases, _________ increases/decreases.")

And if you're feeling ambitious, here's a breakdown of Friday's quiz so you can get prepped:

• Vocab Quiz (all multiple choice):
• Explanatory/Predictor Variable
• Response Variable
• Scatterplot
• Correlation
• Outlier
• Lurking Variable
• What 3 conditions do we check to determine if a linear model is appropriate?
• What 3 aspects do we discuss when we "describe an association?"
• "Math" Quiz (open-ended)
• Sketch a scatterplot (using your calculator)
• Calculate r (using your calculator)
• Describe the association
• Identify errors in 2 statements made about correlation
• Identify a potential lurking variable behind an association

Enjoy! See you all tomorrow!

Tuesday HW!

Back to the grind! This (second) unit will explore scatterplots, correlation, and the line of best fit over the course of the next three chapters (7, 8, and 9). Our goal is to finish this unit by the first week of November!

Tonight, please complete the following in your textbook:

Page 160: 1, 3, 5, 9, 11

And here is tomorrow's (tentative) homework assignment:

Page 160: 13, 19, 21, 23, 25

See you all tomorrow for some more bivariate data!

Did you ace the test?

I hope so! I'll have everything graded and back to you as soon as possible...these tests will take me a few days to grade, so I'd expect them around Friday.

Tonight, take the night off (of AP Stat homework). Rest up. Relax. Tomorrow it's onto a new unit!

**If you are one of the two people who were present, but did not turn in the take home test, make sure you have it tomorrow! And if you were out today...same to you! Make sure you have your take home test tomorrow!**

**Take home test grades and vocab test grades are in the gradebook. Check out e-school if you're curious.**

Enjoy the night of no homework! See you tomorrow!

TESTS EVERYWHERE!

This weekend, don't forget--take home test is due Monday! Even if you were absent! You can find the test uploaded under our classroom resources.

If you were absent today, you are still expected to have the take home test on Monday!

All tests that are not turned in Monday will be docked 10 points (out of 38), 10 more for the next day, and so on. NO EXCUSES! Get it in on Monday!

By doing your take home test, you are definitely studying for Monday. Here's some more info to help you study:

• If you use your Barron's book, check the table of contents and study topics 1,2,3,5, and 11.
• Help each other! Study together!
• Use quizlet.com!
• And here's a breakdown of Monday's test:
• Identify a variable as categorical or quantitative (chapter 2)
• Reading a histogram: (chapter 4)
• Find sample size, median, describe the shape
• Determine if a data set has outliers, given the 5 number summary (fences!) (chapter 5)
• Find probabilities/%'s given a two-way (or contingency) table (chapter 3)
• Use the Normal model to find percentages (chapter 6)
• Study the "storms" problem we did in class (you also have an answer key)
• Know how shifting/rescaling affect measures of center/spread (chapter 6)
• Compare boxplots (chapter 5; study our quiz with the AP problem and rubric)
• Describe shape and spread given a dotplot
• Know how shape affects mean/median (skewed left, mean
• Independence: know how to compare two (given) percentages to determine if there is a relationship between two variables (chapter 3)
• For instance, if I tell you that 39% of students in CT take Statistics, but 66% of people students at EHHS take Statistics, then taking Stat and location are not independent--if you are at EHHS, you are more likely to take Statistics!
• Find "cutoff" values given a percentage or percentile (chapter 6)
• Find the overall mean given two samples and two averages (we had a homework question like this!
• For example...suppose period A has 20 students and a class average of 81 on a test. Period B has 27 students and an average of 84. What is the overall average for the classes combined?
• Know how to read boxplots! (chapter 5)
• Know which graphical displays are appropriate for quantitative data! (chapter 4/5)

And as always, feel free to email with any questions! (I likely will not respond to any emails after 6:00 on Sunday though).

First TEST TOMORROW!

It's a big weekend of tests...this is really where you'll establish your grade (up to this point) in AP Stats! STUDY, STUDY, STUDY!

Friday: Unit 1 Vocabulary Test (Matching)
Weekend: Multiple choice take home test (38 questions)
Monday: Unit 1 Exam (multiple choice and free response)

Here is a breakdown of the questions on tomorrow's Unit 1 Vocabulary Test!

• List 3 categorical displays
• List 4 quantitative displays
• What are the "appropriate/preferred summary statistics" based on shape
• Know how mean relates to median for different shapes
• Be able to sketch different shapes (for example, uniform, bimodal and symmetric, skewed left, etc.). In other words, make sure you know all the different descriptions of shape.
• 20 Vocab Matching (all definitions, except the four words from chapter 6, from past quizzes). The chapter is listed next to each word in parentheses:
• Categorical Variable (2)
• Quantitative Variable (2)
• Independence (3)
• Area Principle (3)
• Bar Chart (3)
• Distribution (4/5)
• Center (4/5)
• Spread (4/5)
• Outlier (4/5)
• Range (4/5)
• Mean (4/5)
• Median (4/5)
• Interquartile Range (5)
• Standard Deviation (5/6)
• Percentile (5)
• Boxplot (5)
• Histogram (4/5)
• Stemplot (4)
• Variance (5/6)
• Shifting (6)
• Rescaling (6)
• Normal model (6)
• Z-Score/Standardized score (6)

When's Day HW

Tonight, please complete the chapter 6 review worksheet provided in class. If you need a copy, you can find it under our classroom resources link entitled "Ch. 6 Review." (I thought of that title myself).

Tomorrow we will do some AP multiple choice, learn how to find "middle cutoff values" and answer any other lingering questions before our big weekend of testing.

Remember:

• Friday: Unit 1 Vocabulary Test (Matching)
• Weekend: Multiple choice take home test (38 questions)
• Monday: Unit 1 Exam (multiple choice and free response)

If you're trying to get a head start studying, here's a breakdown of exactly what's on Friday's vocabulary test:

• List 3 categorical displays
• List 4 quantitative displays
• What are the "appropriate/preferred summary statistics" based on shape
• Know how mean relates to median for different shapes
• Be able to sketch different shapes (for example, uniform, bimodal and symmetric, skewed left, etc.). In other words, make sure you know all the different descriptions of shape.
• 20 Vocab Matching (all definitions, except the four words from chapter 6, from past quizzes). The chapter is listed next to each word in parentheses:
• Categorical Variable (2)
• Quantitative Variable (2)
• Independence (3)
• Area Principle (3)
• Bar Chart (3)
• Distribution (4/5)
• Center (4/5)
• Spread (4/5)
• Outlier (4/5)
• Range (4/5)
• Mean (4/5)
• Median (4/5)
• Interquartile Range (5)
• Standard Deviation (5/6)
• Percentile (5)
• Boxplot (5)
• Histogram (4/5)
• Stemplot (4)
• Variance (5/6)
• Shifting (6)
• Rescaling (6)
• Normal model (6)
• Z-Score/Standardized score (6)