Monday HW!

Please complete the following in your textbook; since it's Halloween, I'll wait to check these until Wednesday, so you can do them tomorrow if you don't get a chance tonight (you may have other homework tomorrow also): 

Page 213: 1, 2, 7

Also, remember that STAMPS are DUE WEDNESDAY! See the blog post below (from Friday) for more info about stamps.

And lastly, here are the answers for #2 in your homework since they're not in the back of the book:

2a.) r = - 0.846;  
2b.) According to the model, for each additional 1 year that passes, the predicted difference in average age at first marriage decreases by about 0.015756 years.
2c.) Approximately 1.81 years
2d.) I am not too confident in the predicted difference in age at first marriage for 2010 because this is an extrapolation; in our data set the latest year was 2000, and the year 2010 falls beyond that year.

Tomorrow in class we'll start to discuss more about outliers and influential points! See you there!

Weekend HW = Take Home Quiz!

This weekend COMPLETE YOUR CHAPTER 8 TAKE HOME QUIZ! This will be collected in class on Monday!

• Use your notes and your textbook for help--especially with the calculator stuff!
• Use the AP Stats Guy videos--he has a video that relates to everything on this take home quiz, even the extra credit (look at the Unit 2 videos)
• Use any other online resources (like the other links on our blog) for help!
• This is a great way to study for our unit test in a week and a half-ish! The more effort you put in this weekend the better prepared you'll be at the end of the unit!
• And lastly, here's the quiz in case you lost yours or were out (you can just write the data set at the top of a separate paper and then answer each question on separate paper). 

Stamps are due next Wednesday! It might be a good idea to start gathering/organizing/counting your stamps now! Here's what you have to do with your stamps:

• Find all your stamps!
• Put all your stamps together...
• Some people rip/cut out the actual stamp and then put them all in an envelope or tape them all to a piece of paper
• Or, other people just turn in the entire paper with the stamp on it (you'll get them all back, so you'll get the examples back for your notes) and paperclip them all or put them all in an envelope or ziploc bag
• Any way you organize/collect your stamps is fine with me!
• Count the number of stamps and record the total (with your name) on the front
• Double check!
• I will use the random name generator to randomly check the counts for 5-10 people in each class; if your total does not match the number of stamps I count, you will receive a 0...
• So count twice! Even if you're off by one or you actually have more stamps than you told me, you get a 0! 
• You are literally counting the number of orange "terrific" stamps! 
• If a paper does not have a stamp on it, it does not count!
• If you include papers that aren't actually stamps you will earn a 0!
• I will collect these on Wednesday; all of the stamps next week will count for the second quarter, so you have all of your first quarter stamps!
• Turn in all of your stamps! Don't try to stash any for the future--the stamp changes each quarter, so the orange terrific stamps have no value after this quarter!

Ch. 8 Vocab Quiz Tomorrow!

You have 2 homework responsibilities tonight:

1.) Please complete questions 3, 4, 5, and 6 on the worksheet provided in class (or below). For question 4, you just have to comment on the residual plot to decide if a linear model is appropriate, as no other information is given.

2.) STUDY YOUR VOCAB! Here's the list:

• Residual
• three definitions: actual - predicted, measures how far off a prediction is from our actual value (error), or the vertical distance between a point and the LSRL
• Slope
• Y-Intercept
• R^2 (Coefficient of Determination)
• r (Correlation) 
• This is from our chapter 7 vocab quiz--use it to study!
• Predicted Value
• A value that comes from the LSRL, either looking at a graph or substituting into the LSRL equation!
• Overestimate
• Underestimate
• Linear Model
• An equation used to make predictions for a response (y) variable based on values of the explanatory (x) variable
• Response Variable
• Explanatory Variable
• Conditions: is a linear model appropriate?
• Check a scatterplot is roughly linear with no outliers, residual plot has no pattern, and two quantitative varibles

Tomorrow we'll start class with our chapter 8 vocab quiz, and then we'll do some classwork AP free response and multiple choice! See you there!

When's Day HW and Key for Last Night's HW!

Tonight, please complete the following in your textbook:

Page 190: 15, 35acdg, 41f, 43ab

• For 41f the question asks "Does this plot show evidence of the violation of any assumptions behind the regression? If so, which ones?" Really, what you want to do here is decide: is a linear model appropriate?
• Are there two quantitative variables?
• Does the scatterplot appear roughly linear?
• Does the residual plot show random scatter?
• Does the scatterplot show any blatant outliers?
• For 43ab remember that you are only using the weight (x variable or L1) and % body fat (y variable or L2) and ignoring the waist data.

After you finish your textbook practice, be sure your answers from last night's homework were all correct!

Tuesday HW!

Tonight, please complete each of the questions below (or on the worksheet provided in class!

• For #1--is a linear model appropriate--check 3 things:
• Make sure we have 2 quantitative variables
• Check to see the scatterplot is linear (and sketch it)
• Check to see if there are outliers

This was going to be a quiz this week, so this is a great opportunity to gauge your own progress in chapter 8! Try to do this homework as if it were a quiz--then use your notes to check your answers!

Monday HW!

Tonight, please complete the following in your textbook:

Page 189: 13, 39acd, 41a-e, 49

• For 41c, you neeed to "read a computer output" to write the equation of the line of best fit; we have not yet discussed this in class; so, when you look at the info (above a), the "intercept" = 15.3066 is your y-intercept, and the "CO2" = 0.004 is your slope. 

Also, remember you have an extra credit stamp option! Do it!

Tomorrow in class we'll continue to work with chapter 8, as we start to discuss "residual plots" and what "best fit" really means! Then, we'll learn how to read a computer output on Wednesday/Thursday, and we'll wrap up chapter 8 Friday! (We will most likely have our chapter 8 vocab quiz Friday). 

See you tomorrow! Enjoy your Monday!

Weekend HW!

Back to a normal schedule and some serious work....

This weekend, please complete the two problem sets/worksheets provided in class (or below)--the questions dealing with the LSRL equation and residuals (acres burned v. timber sales), and the questions that challenge us to find the LSRL and then intepret various statistics (yrs. of ed v. median income of women in 2004).

• If you have trouble interpreting slope, intercept, and/or R^2, check out the AP Stats guy videos regarding these topics!
• He also has a video to help with the calculator stuff and finding residuals! (Although, for the residual problems, take a look at today's stamp!)

This will definitely be checked on Monday! Monday we'll continue to work with chapter 8 and start to explore residuals more deeply...see you there! Have a great weekend!

Thursday, Thursday, Thursday!

Tonight, there is no official homework in AP Stat! (Whhhaattttt?!!!!) This doesn't happen often, so enjoy it!

However, here is a one time extra credit opportunity--take advantage! This can only be done for tomorrow, whether you were here today or not!

Extra Credit HW: Page 160: 3, 21, 23, 27, 31

Tomorrow we'll really start to get into chapter 8, with interpreting slope, intercept, and R^2! See you there!

Tuesday/Wednesday

Your homework is....STUDY! Be ready for your chapter 7 quiz (vocab and math) Thursday!

For Tuesday, get a good night's sleep and come ready to put forth your best effort on Wednesday for the SAT or PSAT!

Here's an outline of what you need to know for the open-ended/math portion of the quiz:

• Create a scatterplot and calculate r using your graphing calculator
• Describe the association seen in the scatterplot
• Find the mistakes in two statements about correlation
• Identify a potential lurking variable for a scenario
• Use the homework problems from last night to study! 
• Page 160-167: 5, 11, 13, 19, 25, 29
• These problems review everything that's on the quiz! So try them and be sure to check your answers in the back of the book!

And here's the vocab list for the chapter 7 vocab quiz!

• Scatterplot
• Explanatory Variable
• Response Variable
• Lurking Variable
• Correlation (r)
• Positive Association
• Negative Association
• Describe an association: we comment on shape, direction, and strength
• Outlier: a data point that falls outside the general pattern in a scatterplot
• Is a linear model appropriate: check for outliers, quantitative variables, roughly linear scatterplot

See you tomorrow (or Thursday)! Enjoy your afternoon and this little blast of summer weather!

Monday, Monday, Monday....

Happy Monday!

Tonight, please complete the following in your textbook:

Page 160-167: 5, 11, 13, 19, 25, 29

• For 13a, to decide "is it appropriate to calculate correlation," check the following: is the scatterplot linear? are the variables quantitative? are there any outliers? If it's roughly linear with two quantitative variables and no clear outliers, then it's ok to calculate the correlation.

This homework assignment will give you a good idea of what's on our chapter 7 quiz! The chapter 7 quiz will challenge you to create a scatterplot and find r (using your calculator, like 19), describe an association (like 13b or 19), identify some errors in a statement about correlation (like 29), and identify one possible lurking variable (like 25b).

Here's our plan for the week with a crazy schedule (SAT day Wednesday, 1/2 day on Thursday...)

Tuesday: finish chapter 7 notes!

Wednesday: no class for period A; for periods E and F we will do some more practice with describing scatterplots; if you are in period A and don't have a class period E or F feel free to come by for some practice!

Thursday: Chapter 7 vocab quiz and chapter 7 "math" quiz (math quiz is based on your homework); then, we'll start chapter 8

Friday: Start chapter 8!

And I will have your unit tests for you by Thursday!

Weekend HW!

This weekend please complete the "Unit 2: Bivariate Data" worksheet provided in class!

• This assignment challenges you to refresh your memory on the things we learned about scatterplots, correlation, the line of best fit, and using our calculator from this past summer!
• Use your notes from the summer to help you!
• Use the AP Stats Guy!
• Unit 2, Video 1: Intro to Regression
• Unit 2, Video 2: More Regression, Correlation and r
• Unit 2, Video 4: TI Stuff (calculator help)
• Unit 2, Video 8: Interpreting Slope and Y-Int
• There are plenty of other videos that relate to this unit, but these four directly connect to your homework!
• Use your textbook!

• The more effort you put into this assignment this weekend, the better you'll do moving forward!
• These are the types of questions you will have on quizzes and tests in this unit!
• The more you can complete on your own (independently), the better you will learn/remember this stuff!

Have a great weekend, enjoy the weather, and I'll see you Monday!

Thursday HW and Weekend HW!

How are you feeling about today's test? Hopefully super confident! I look forward to grading them and being proud of you for doing awesome!

Tonight, please complete the 4 SAT problems provided in class (or below)!

Tomorrow in class we will start our next unit, exploring bivariate data (scatterplots and linear regression)! We discussed a lot of this in day 2 of our summer academy, so you definitely want to get those notes out and review them--I'll be going through the stuff we addressed in the summer quickly in class. If you weren't at the summer academy, you definitely want to get these notes from a classmate.

This weekend, your homework is to complete the "Unit 2: Bivariate Data!" intro homework provided in class--if you want to get a head start, the data and questions are below!

• This homework is based on what we learned in the summer, and maybe something we didn't cover (interpreting y-intercept)--it is your responsibility to use your notes, your textbook, and any other online resources to figure this stuff out! We will only briefly cover the stuff on this assignment in class!
• This will definitely be checked on Monday!
• The AP Stats Guy has a bunch of awesome videos to help with this!
• Unit 2, Video 1: Intro to Regression
• Unit 2, Video 2: More Regression, Correlation and r
• Unit 2, Video 4: TI Stuff (calculator help)
• Unit 2, Video 8: Interpreting Slope and Y-Int
• There are plenty of other videos that relate to this unit, but these four directly connect to your homework!

TEST TOMORROW!

Tomorrow we will have our Unit 1 Test (covering chapters 2, 3, 4, 5, and 6)! STUDY, STUDY, STUDY! Then, on Friday we'll get into linear regression--see you there!

Here's an outline of what's on your test tomorrow!

• The test has both free response (FR) and multiple choice (MC) questions
• Use your chapter quizzes, our first mid-unit test, and your take home test to study!
• Find percentages above/below/between with the Normal curve using normalcdf (study the "classifying storms" problem we did in class!) (ch. 6)
• Find data values that cut off a given percentile/% above/% between using invnorm! (ch. 6)
• Compare boxplots IN CONTEXT! (study the last question from our chapter 5 take home quiz, along with the rubric I provided yesterday!) (ch. 5)
• Describe the shape, center, and spread of a given histogram/dotplot/stemplot (ch. 4)
• Know how the mean and median compare for different shapes of distributions (symmetric, skewed left, skewed right) (ch. 4)
• Read a stemplot to find median, range, percentiles (% below) (ch. 4)
• Know how shifting/rescaling affects measures of position and spread, and calculate these new values (study the table about Yuans on your take home test!) (ch. 6)
• Identify which dotplot/histogram/stemplot has the highest/lowest standard deviation (study our matching histograms to 6 variables classwork!) (ch. 5)
• Know how to calculate a z score and interpret its meaning in a complete sentence (ch. 6)
• Find probabilities from a two-way table (study the SSRI question on our first test, or look at the Titanic problems in chapter 3!)
• Reading boxplots--now the meanings of Q1, Median, Q3 as percentiles (what % of data falls below/above/between these values) (ch. 5)
• Completely identify the shape of histograms (ch. 4)
• Create graphical displays--boxplots, dotplots, stemplots, dotplots (ch. 4/5)

Use the multiple choice practice from today's class to study! The answers (and questions) are below--this is a bunch of practice for you!

And here are the answers:

1. B
2. C
3. C
4. A
5. D
6. (a.) 94.52%, (b.) 10.69%, (c.) 34104.05 miles (d.) 36112.13 miles 

Two's Day HW!

Tonight's homework is different for period A vs. periods E/F--see below. All answers are also posted below so you can check!

It is very important that you do tonight's homework because this is our only practice with invnorm before our unit 1 test on Thursday!

If you were out today we learned how to use "invnorm" in our calculator--you should do your best to teach yourself this from chapter 6 in our book, OR watch this video! to learn about invnorm--we have a test Thursday so you have to know this stuff!

Here's the homework:

Period A: 

1. Please complete questions f, g, h, and i on the "Calculating Z Scores and Percentiles" worksheet that we started in class on Thursday.
2. Then, please complete questions a,b,c,d on the "classifying storms" worksheet! This problem is specifically modeled after one of our test questions!
• I'd recommend starting with question b, then do c, then a. Finally, after you answer a,b, and c, try d!
• For question A, you have to interpret the meaning of this question in terms of pH--if a storm cannot be classified, what does that mean about its pH?
• Question D does not require the use of normalcdf or anything...don't overthink it!

Periods E,F:

1. Please complete the entire "Calculating ZScores and Percentiles" worksheet provided in class!

And here are the answers to the homework problems along with the questions 

Calculating Z Scores and Percentiles Key:

• 1. Mean = 68, Sx = 7.2, Median = 60.8, Range 64.8, IQR = 14.4
• 2a. 97.59%, 
• 2b. 0.38%, 
• 2c. 95.25%, 
• 2d. 36.94%, 
• 2e. 10.39% 
• 2f. IQ = 112.62, 
• 2g. Q3 = 110.12, 
• 2h. Q1 = 89.88
• 2i. IQR = 20.24 

Classifying Storms Key:

• a. 0.98%
• b. 67.59%
• c. 12.17%
• d. 9 minor storms, 32 mild storms, 6 super storms, and 1 not classified

TAKE HOME TEST DUE TUESDAY!

This (4 day) weekend be sure to COMPLETE YOUR TAKE HOME TEST! This is another test grade for us, and tests are the largest proportion of our average--take advantage of the take home aspect! Use your notes, use your resources online (like the links on the right), and take your time--get an A!

BE SURE TO SHOW ALL WORK FOR ANY MC QUESTIONS MARKED WITH **! 

This is due on Tuesday even if you were out! You can find our test under the "Classroom Powerpoints and Assignments" link. If for some reason this doesn't work, send me an email and I'll respond with a copy of the test! (carofano.fm@easthartford.org). NO EXCUSES! You will lose 10 points for each day this is late (and no tests will be accepted after Thursday).

On Tuesday we will get back to chapter 6; we'll do an AP problem or two to practice some "normalcdf" stuff, and then we'll learn a little about "invnorm." Then, it's on to our unit test which will be next Thursday or Friday!

If you are looking for some more help with the Normal model I strongly suggest watching some AP Stats Guy videos! He has 5 videos specific to chapter 6 (the Normal model) as well as a video about shifting and rescaling! Use these!

Have an awesome 4 day weekend! Rest up, relax, and come back ready to work hard! See you Tuesday!

Vocab Test Tomorrow!

Tomorrow we have our UNIT 1 Vocab Test!

• The test has 22 matching questions (match a vocabulary word to a definition)
• Use your chapter 2, 4, and 5 vocab quizzes to study!
• The vocab listed is posted below
• Also, USE YOUR NOTES! All this info is there
• Then, there are some open ended/short answer questions....for example...
• List the appropriate measures of center and spread for a skewed distribution
• List the appropriate measures of center and spread for a symmetric distribution
• List 3 measures of center
• List 3 measures of spread
• Identify different graphs for categorical data
• Identify the graphs for quantitative data
• Describe the shape of a given histogram boxplot as skewed, symmetric, unimodal, bimodal, uniform, etc.
• Know how the mean is affected by a skewed distribution
• Know how the mean compares to the median for a skewed left, skewed right, or symmetric distribution
• You will have 20-25 minutes to complete your test, so be prepared! 
• After the test we will do some more work with "normalcdf"--see you there!

Unit 1 Vocab List:

Tuesday HW!

Tonight, please complete the following in your textbook:

Page 124: 19, 25, 27, 45 

• For #45, find the z-score for the height of a Dutch man in Athens and decide if this is unusual!

Tomorrow in class we'll get back to our Normal percentile problems--which will be on our take home test! Then, we'll finish up with some more practice and a vocab test Thursday! See you there!

Monday HW!

Tonight, please complete the following in your textbook:

Page 123-128: 5, 7, 9, 17, 23

• Questions 5,7, and 9 are all based on using z-scores!
• Apply the Empirical Rule or the 68/95/99.7 rule for 17 and 23!
• When asked to draw the Normal model/Empirical rule you should sketch a diagram labeling 3 standard deviations above and below the mean (like our SAT example in class!)
• For more help, read about this rule on page 109, then look at the "working with the 68/95/99.7 rule" example on page 110!
• OR, do some googling--look up some videos or practice about the Empirical or 68/95/99.7 rule!
• OR, watch a video about this rule from the AP Stats Guy or from the videos aligned with our book!

Tomorrow we'll work a little more with this rule and start to expand on it! See you there!