Tuesday = Study + Stamps!

You have two responsibilities tonight:

1.) Chapter 8 Vocab Quiz tomorrow!
2.) STAMPS are due tomorrow! Don't get a 0!

Here's the list for our chapter 8 vocab quiz:

• Explanatory Variable
• Response Variable
• Lurking Variable
• Correlation
• Residual
• Graphically
• How its calculated
• What it measures
• Underestimate (what is it? what type of residual represents an underestimate?)
• Overestimate (what is it? what type of residual represents an overestimate?)
• Slope (how is it interpreted?)
• Y-Intercept (how is it interpreted?)
• Coefficient of Determination (know this is R^2, know how to interpret this value)
• Predicted Value (y-hat, or what do we use to find a predicted value?)
• Linear Model
• "An equation of a line in the form y-hat = a + bx that is used to make predictions of the response variable for given values of the explanatory variable."
• Least Squares Regression Line (what does best fit mean?)
• Is a linear model appropriate? (what 3 things do we check)

And here's the process for turning in your stamps:

• You can turn them in as early as Monday--if we have stamps Monday/Tuesday I'll just add them to your total
• Count up your stamps!
• You are literally counting stamps--so if there's no stamp on a paper it doesn't count! If there are two, that's 2 stamps!
• Get all your stamps together--put them in a ziploc bag, a folder, staple them together--whatever works
• Write your name and the total on the front! 
• Double check your counting...
• I will randomly select 5 students in each class to check totals...
• If your total is incorrect you will be given a 0--so pay attention to detail and double check when you count!
• You will get all of these papers back so don't worry if there are notes on them!

Finally, here's tomorrow night's homework for those of you who are feeling ambitious tonight--this will be the first homework grade of the second quarter!

Monday HW

Help! Rojaun Samuda has an accountability for last year's book, but he probably turned it in...

PLEASE look inside your book to see if you have Rojaun's from last year, or if you have book # AS-09-108! If so, please send me a Remind message or let me know in class tomorrow! Help a fellow classmate out!

Tonight please complete the following in your textbook (lots of residual and predicting practice):

Page 193-196: 35cg, 39acd, 41g, 47bde

Today in class we discussed what "best fit means," did a practice/stamp problem working with residuals, and started to explore residual plots. Tomorrow we'll wrap up chapter 8 with more discussion of residual plots and "Is a linear model appropriate?" questions!

On Wednesday we'll start class with our chapter 8 vocab quiz, then we'll start out chapter 9 notes!

Have an awesome Monday! See you all tomorrow!

STAMPS ARE DUE WEDNESDAY!

Here's the process for turning in your stamps:

• You can turn them in as early as Monday--if we have stamps Monday/Tuesday I'll just add them to your total
• Count up your stamps!
• You are literally counting stamps--so if there's no stamp on a paper it doesn't count! If there are two, that's 2 stamps!
• Get all your stamps together--put them in a ziploc bag, a folder, staple them together--whatever works
• Write your name and the total on the front! 
• Double check your counting...
• I will randomly select 5 students in each class to check totals...
• If your total is incorrect you will be given a 0--so pay attention to detail and double check when you count!
• You will get all of these papers back so don't worry if there are notes on them!

Weekend HW (Counts TRIPLE!!!!)

This weekend please COMPLETE and SCORE the 2016 Investigative Task (#6) provided in class!

• This homework will be counted triple! This will be one of our last homework grades of the quarter, so let's get it done and make it count (triple)!
• One of the biggest challenges on the AP Stat Exam is the Investigative Task; this is our first exposure to this type of question
• The Investigative Task is designed to take 25 minutes and counts twice as much as a "regular" free response
• The Investigative Task is also designed to incorporate things you have not directly learned in class; you are challenged to take your statistical knowledge and apply these ideas in a new context
• You'll see some familiar stuff, and some "new stuff..."
• For example, in this question we definitely learned what we need to know to answer part a, b, and c
• Parts c, d, and e challenge us to use ideas we've learned in class in new ways! 
• The key to success on the Investigative Task is to TRY! Don't leave anything blank; some of this stuff is supposed to look foreign to you--use your knowledge of Stats to come up with some solution!

Homework Step 1: Complete the 2016 Investigative Task! (if you really want some authentic practice give yourself a 25 minute timer! I think most of us could do this one in less than 25 minutes!)

Homework Step 2: Score your 2016 Investigative Task

• Read the 2016 AP FR Scoring Rubric (click me!)
• First, read through the entire solution examples and scoring rubric (pages 17-20)
• Then, go back and re-read the scoring sections
• Score each section (section 1 = a/b, section 2 = c/d, section 3 = e) as E (essentially correct), P (partially correct), or I (incorrect)
• Then use page 20 to give yourself an overall score of 1-4 based on your scores on the 3 sections
• USE A DIFFERENT COLOR PEN/PENCIL TO SCORE YOUR RESPONSES!

Here's the FR question in case you lost yours or were out:

STAMPS ARE DUE WEDNESDAY!

Here's the process for turning in your stamps:

• You can turn them in as early as Monday--if we have stamps Monday/Tuesday I'll just add them to your total
• Count up your stamps!
• You are literally counting stamps--so if there's no stamp on a paper it doesn't count! If there are two, that's 2 stamps!
• Get all your stamps together--put them in a ziploc bag, a folder, staple them together--whatever works
• Write your name and the total on the front! 
• Double check your counting...
• I will randomly select 5 students in each class to check totals...
• If your total is incorrect you will be given a 0--so pay attention to detail and double check when you count!
• You will get all of these papers back so don't worry if there are notes on them!

And finally, here's an extra credit stamp you can try (and turn in on Monday)--I'll give you one stamp per (completely) correct response!

• When you have to interpret the residual in a sentence (part c)  be sure to reference what value you predicted for, what you were predicting, and if the prediction was an over or underestimate
• Use this example based on #4 from yesterday's stamp (predicting income based on years experience)...
• Residual for 0 years experience = $-5K
• "The predicted income for 0 years experience was overestimated by $5K."
• The calculator screen shows the LinReg results for this data (to save you some time)
• 
  

Quiz Tomorrow!

Tonight please complete the "Pop Quiz: Interpreting Bivariate Statistics" worksheet provided in class (or below)!

• This was the original version of your quiz! If you can interpret the values in 2a-d correctly you should be ready to ace tomorrow's quiz!
• You will have to read a computer output tomorrow to determine the values of slope, intercept, and R^2.
• For #1 (this is not on your quiz tomorrow) you should check that both variables are quantitative and create a scatterplot to see if it's roughly linear
• I will not check this homework; this is your practice so that you can get an A tomorrow! 15 minute quiz to start class!

Here are the questions:

And here's the answer key so you can check your work:

• You didn't have question 3 on your homework but feel free to check it out if you're curious!

Tomorrow in class we'll start to get into our last main idea for this chapter--we have to learn lots about residuals...

• How do we calculate residuals?
• How do we graphically represent a residual?
• What does a +/- residual tell us?
• How do we create residual plots? 
• How do we read residual plots? What do we use them for?
• How do we determine if a linear model is appropriate?

Wednesday and Thursday HW

Tonight, please complete the following in your textbook:

Page 190-196: 15b, 36ab, 41b, 47f

• Period A: notice this book assignment is shortened from class!
• All of the answers are provided below so you can check (using the same type of wording I taught you in class)
• 15b, 41b, and 47f all ask you to interpret R^2--use the writing template provided today in class (or below)!
• Here are the homework answers so you can check:
• 15b.) About 92.4% of the variability in nicotine content (mg) in cigarettes can be explained by variability in the amount of tars (mg). Other factors may include the type of cigarette.
• 36a.) A linear model is appropriate because the scatterplot appears roughly linear and both variables, fat (g) and # of calories, are quantitative.
• 36b.) There is a strong association between amount of fat and number of calories in chicken sandwiches because r = 0.947 (which is close to 1).
• 41b.) About 33.4% of the changes in mean annual temperature (degree Celsius) can be explained by changes in the mean annual CO2 concentration in the atmosphere (ppm). Other factors may include
• 47f.) About 43% of the variability in annual mortality rate (deaths per 100,000) for males in England and Wales can be explained by changes in calcium concentration (water hardness), measured in parts per million (ppm).

• *Notice that when I wrote my context I did not simply copy the variable names off of the scatterplot--read the context and be more thorough than what's provided on the graph!

• I'm starting to second guess needing the "other factors" part for the AP exam when interpreting R^2...notice I left this off. I am going to reach out to some other Stat teachers and try to find out if we need this with our interpretation.

Here's what we covered today in class:

• Stamp problem = practice with reading computer outputs
• Homework questions?
• Next we intepreted the slope and y-intercept for the computer output we worked with yesterday in class (# of passenger seats vs. operating cost per hour) so that we would have one more example of these interpretations in our notes
• Then we focused on the meaning of R^2, or the Coefficient of Determination...
• We watched the AP Stat Guy video about R^2 in class (watch it)! (unit 2, video #9)
• We also discussed how to interpret R^2--here's a writing template you can use for your homework/quizzes/tests/etc
• "__R^2__% of the variation in __(response variable)__ can be explained by variation in __(explanatory variable)__."

• Here's an example based on the computer output:
• "Approximately 57% of the variation in operating cost per hour can be explained by variation in the number of passenger seats. Other factors may include the weight of the plane or the length of the trip."

Tomorrow in class we'll wrap up any questions we have about slope, intercept, and R^2 and we'll start to explore residuals! See you there! On Friday we'll start class with a (15 minute) quiz--all writing/interpreting!

And if you're feeling ambitious here's tomorrow night's homework--all practice to get ready for our quiz Friday! (this assignment is actually just a different version of the quiz)

Tuesday HW!

Tonight please complete the following in your textbook--this provides us with some essential practice with slope and y-intercept, as well as reading a computer output--all things we discussed today in class!

Page 189- 196: 13,  41acde, 47abce

Here's what you should be able to do after tonight's homework for this unit--if you can do all of this you're in good shape!

• Identify explanatory and response variables
• Create a scatter plot, find correlation (r), R^2, and write the equation of the line of best fit using your graphing calculator
• Understand correlation (r): what does it measure? what types of variables should we use? does it have units? what is strong/weak? 
• Describe an association (in context, of course)
• Interpret r = describe the strength and direction of an association
• Use the LSRL equation to make a prediction (substitute for x)
• Identify/consider possible lurking variables
• Read a computer output to identify r, R^2, slope, and y-intercept
• Interpret slope
• Interpret y-intercept

Tomorrow in class we'll continue with our chapter 8 notes--we'll learn add one more example of slope/y-intercept to our notes and we'll discuss how to interpret R^2. Then, we'll start to learn what "best fit means." We'll continue with these ideas on Thursday and Friday, aiming to finish chapter 8 by next Tuesday/Wednesday.

See you there!

Weekend Homework!

Tomorrow we have our chapter 7 quiz (or quizzes)--vocab and math! Tonight--study! You should also complete the textbook problems listed below if you did not already do so:

Page 160-166: 1, 5, 11, 13, 25, 29, 31

Here's an outline of the content on the math quiz:

• Identify explanatory and response variables
• Create/sketch scatterplot using graphing calc.
• Find the correlation using graphing calc.
• Describe an association (like Thursday's homework)
• Write the equation of the LSRL (least squares regression line) using calc
• Use the equation to make a prediction
• Identify mistakes made in statements about correlation (must have 2 quantitative variables, correlation is between -1 and 1, no units on correlation, know what a strong/weak correlation looks like)
• Identify a possible lurking variable

And here's the chapter 7 vocab list:

• Scatterplot
• Explanatory Variable
• Response Variable
• Lurking Variable
• Correlation
• Positive Association (as x increases, y increases)
• Negative Association (as x increases, y decreases)
• y-hat (represents a predicted value)

Finally, here are the answers to Thursday night's homework so you can check yours and use these to study--remember, this is definitely on our quiz tomorrow!

• Precipitation v. Cucumber Yield
• The association between the amount of precipitation (mm) and cucumber yield (kg per square meter) is pretty strong, roughly linear, and positive. Based on this scatter plot, as the amount of precipitation increases, the predicted cucumber yield increases.
• Missed Classes and Exam Score
• The association between the number of missed classes and exam score is moderately strong, negative, and roughly linear with r = -0.79. Based on this data, as a student misses more classes, his/her predicted exam score decreases. (Or, based on this data, as the number of missed classes increases the predicted exam score decreases).

Thursday HW

Today in class we took all of our chapter 7 notes; tomorrow we'll do some practice multiple choice, and then Monday it's on to chapter 8! We'll have a chapter 7 vocab quiz and math quiz next week! (Tuesday). I have posted the slides for the end of today's notes at the bottom of this post since we had to rush! If you missed them get these into your notes!

Tonight please describe the two associations provided in class (on the half-sheet) or below. See the bottom of this post for the weekend homework if you're feeling ambitious. 

• Remember, when describing scatterplots you should comment on the shape, direction, strength, and reference r (if you have it); then, write a "Based on this scatterplot, as _______ increases, ______ increases/decreases statement. And always be sure everything is in context!

• Look at question c on the answer key for last night's homework to see a sample!

• Or, try to use this writing template for describing an association:
• The association between __(explantory)____ and ___(response)___ is ___(shape)___, ___(direction)____, and __(strength)__ with a correlation of __r__ . Based on the scatterplot, as ______(describe the association shown in context)____.

• For example, consider yesterday's class context...
• The correlation between the age a child first spoke and Gesell score is roughly linear, moderately strong, and negative with r = -0.774. Based on the scatterplot, the earlier a child speaks his/her first words, the higher their predicted Gesell score. (Or, as the age a child first speaks increases, the predicted Gesell score decreases).

• Here are tonight's homework problems in case you lost yours....
• 
  

And if you're feeling ambitious, here's our weekend homework--this will be the only book homework from chapter 7 and will be checked on Monday!

Page 160-166: 1, 5, 11, 13, 25, 29, 31

And here are the last 4 slides of our notes--we rushed through this, so if you missed anything here you go! You'll want this info for tomorrow's classwork.

Wednesday HW!

Today we started our new unit, Linear Regression! This gives us all a "clean slate" content wise--let's start this unit strong and put in max effort to complete tonight's homework!

Tonight, please complete the "Unit 2: Bivariate Data!" homework provided in class (or below). Some of this reviews the calculator skills we reviewed today, and it also gets into some writing (describe an association, interpret slope, interpret y-intercept)--use those summer notes to help!

Check out some AP Stats Guy videos (listed below) if you need help with the slope and y-intercept stuff (or anything else on this hw)!

If you still have some questions about the regression stuff, or you missed the summer academy, or you need help with tonight's homework, or you just want more review....

• Watch AP Stat Guy Videos to review (or learn for the first time) the AP Summer Academy Regression stuff!
• Go to AP Stats Guy, scroll down to Unit 2, then watch videos 1,2,3,4, and 8.
• Ultimately, here's what we covered in the summer (and thus, what you should know/review):
• Sketch a scatterplot using your calculator
• Identify explanatory/response variables in a scatter plot
• Find r, R^2, and the equation of the least squares regression line, or LSRL, (line of best fit) using your calculator
• Describe an association (notes tomorrow)
• Use the equation of the LSRL to make predictions
• Calculate a residual (actual - predicted)

Tuesday HW = Prep for New Unit!

I hope you're feeling confident about today's test! If you were out, today we completed our Unit 1 Test (which you'll have to make up after school, during lunch, or during study hall); tomorrow in class we will start our next unit, Linear Regression! (see below)

Tonight you should review your AP Stat Summer Academy Notes about linear regression--you need to know all the stuff below by the end of Friday (at the latest), as we'll only spend about 3 days on chapter 7! This content will be quickly reviewed, but not entirely re-taught in class--and we'll have a quiz sooner than later, so be proactive! This unit gives us all a fresh start (content wise), so start strong tonight! Review this info and prepare yourself to ace this unit!

• Watch AP Stat Guy Videos to review (or learn for the first time) the AP Summer Academy Regression stuff!
• Go to AP Stats Guy, scroll down to Unit 2, then watch videos 1,2,3,4, and 8.
• Read through chapters 7 and 8
• We'll take notes on these chapters in class, but we covered parts of each chapter in our summer academy!
• Ultimately, here's what we covered in the summer (and thus, what you should know/review):
• Sketch a scatterplot using your calculator
• Identify explanatory/response variables in a scatter plot
• Find r, R^2, and the equation of the least squares regression line, or LSRL, (line of best fit) using your calculator
• Describe an association (notes tomorrow)
• Use the equation of the LSRL to make predictions
• Calculate a residual (actual - predicted)
• And here are the two assignments we completed in the summer academy--you should be able to answer these questions (study this stuff)!

See you all tomorrow! One unit down, six to go! 

Monday = More Studying!

Tonight, study, study, study! We will have our unit 1 test (full period) in class tomorrow! See below for various info about the test.

**If you were absent today you must make up your test by the end of this week or you will earn a 0!* 

• You cannot make up the test during our class time
• You can come after school Weds. or Thurs. (let me know before the day of)
• Or you can come during any study hall or lunch (let me know prior)

Here are some ways you can study for Tuesday's test:

• Read through your notes; maybe even use your notes to create an outline of the important content from unit 1! (see below for an outline of the test content)
• Use KHAN ACADEMY! 
• Khan not only has videos/tutorials to review concepts, but it also has lots of practice!
• Enter the class code (or add a coach):
• Class Code = 5HS925
• Watch AP Stat Guy videos! This will allow you to quickly review different topics--focus on the things you struggle with most!
• Look over your past tests/quizzes (take home test, mid-unit test, quizzes, etc.)
• Be sure you can complete all of the multiple choice we worked on in class Friday (and discussed today)
• Do practice problems!
• I would recommend looking at the "Review of Part I" on pages 130-140 in your textbook--all odd answers are in the back of your book!
• If you're looking for "extra practice problems" this is a good place (or Khan...)
• Look over the "step-by-step" examples in chapters 4,5, and 6 in your textbook
• Review all of the "yellow boxes" in chapters 2-6 to make sure you know all the calculator stuff! 
• Study with classmates! Learning is collaborative!

And here's an outline of the content you need to know for Tuesday's unit test:

• Chapter 4 and 5:
• Reading/comparing boxplots
• Know how to compare "SOCS" and a "Generally" statement (supported by %'s) when comparing boxplots...
• ALSO know how to draw conclusions when comparing boxplots without necessarily comparing SOCS--like the 2017 AP Free Response (sites X,Y,Z) we had for homework or the "basketball players" homework question
• Ex: for the 2017 FR part a is more about comparing SOCS....
• Parts bi and bii require us to compare boxplots but to do so to draw a conclusion or answer a specific question, not just compare "SOCS"
• Or, take a look at the back of your chapter 5 take home quiz (comparing period 1 and period 2 boxplots); then, try to answer each question below to practice for tomorrow (feel free to send a Remind message to see if your thoughts are correct):
• Suppose we don't know which period you are in, but want to consider your test score....
• 1.) What is one reason you would hope your test score was from period 1?
• 2.) Why might you hope that your test score was from period 2?
• Describe a distribution (shape, outliers, center, spread)
• Know how mean/median compare for different shapes (skewed vs. symmetric)
• Know how to read a histogram, boxplot, stemplot, ogive
• Understand standard deviation and IQR--what each measures and what graphs look like if they have a "high Sx/IQR" or "low Sx/IQR"
• Find probabilities using a two-way table
• Like the "completed more advanced studies" context we had on a MC pop quiz to start class
• Chapter 6
• Shifting/rescaling problems (like our group MC Friday or the "Yuans" question from our take home test)
• Calculate and interpret z-scores (like the Carofano's/Chipotle MC from Friday or the warmup we had using weight lifted by a player)
• Use the 68/95/99.7 rule to "narrow down" MC options and/or to find percentages above/below/between
• Use invnorm to find percentiles, cutoffs for the top __%, or middle cutoffs (like the notes examples or the IQ homework)
• Use normalcdf to find percentages above/below/between with a Normal model (study the "storms" question, examples in our notes, and your IQ homework)

Test Monday! HW = Study!

Monday (10/16): Unit 1 Vocabulary Exam (30 minutes) followed by a little review--we'll take a look at some of the AP MC we didn't finish today; I'll also be after school until about 3:15 on Monday to review for our "math test" on Tuesday.

• See below for an outline of what's on our vocab test Monday

Tuesday *(10/17): Unit 1 Exam (AP free response and multiple choice).

• If you want to get a head start studying you should finish the multiple choice we did today in class! Be sure you know how to solve all of these--there are a couple MC on our test that look similar to those on today's classwork!
• We'll discuss a couple of them after our test on Monday... 

Wednesday to Friday: Start Unit 2--Linear Regression

• Tuesday night's homework will be to review/study the "Linear Regression" stuff we covered in the summer, as this will not be re-taught in class (and we'll have a quiz on it next week!)
• If you missed the summer academy you will have to catch up on all of this!
• I will be after school on Wednesday to review the summer stuff regarding linear regression (which is also reviewing for the chapter 7 quiz we'll probably have on Friday 10/20)

Here's an outline of what you need to know/study for Monday's vocab test:

• Open Ended Questions (Short Answer)
• Know the preferred (or appropriate) measures of center and spread for a symmetric distribution
• Know the preferred (or appropriate) measures of center and spread for a skewed distribution
• Be able to list all measures of center (mean, median, midrange, mode)
• Be able to list all measures of spread (standard deviation, IQR, range, variance)
• Know which graphs are used for each type of data
• Categorical data: bar graph, pie chart, frequency table
• Quantitative data: histogram, boxplot, stemplot, dotplot, ogive
• Describe the shape of a histogram (in two ways...)
• Unimodal, bimodal, multimodal, uniform
• Skewed left, skewed right, roughly symmetric
• Know how skewness affects mean (and that it doesn't affect median as much)
• Know which values are sensitive to/resistant to extremes
• Know when the mean is less than the median, mean is greater than the median, or mean is roughly equal to the median (based on shape)
• Vocabulary List (Matching)
• Use your past vocab quizzes (chapter 2,4,5) to study
• There are four new words from chapter 6
• Shifting
• Rescaling
• Z-Score/Standardized score (how is it calculated? what does it measure?)
• Normal Model
• Here's the rest of the vocab:
• Quantitative Variable
• Categorical Variable
• Stemplot
• Dotplot
• Boxplot
• Histogram
• Ogive
• Center
• Spread
• Mean
• Median
• Range
• Standard Deviation
• Variance
• Interquartile Range (IQR--what is it? what does it measure?)
• Outlier (both in regard to fences and outliers based on the Normal model)
• Q1
• Q3
• Percentile
• Skewed left
• Skewed Right

Study, study, study! There is no reason you shouldn't get an A on this test if you're willing to put in the work and prepare yourself to do so! Have an awesome weekend and come ready to ace this thing on Monday!

Thursday HW!

Tonight please complete the following in your textbook:

Page 127-128: 41, 43, 45 (Extra Credit Problems: 33, 35)

• Remember, we use normalcdf( if we have a Normal model, are given some data values, and are asked to find a % or probability
• We use invnorm( if we have a Normal model, are given a percentile/% above/% between, and are asked to then find the data values that "cutoff" the given %
• We must write normalcdf(#, #, #, #) as our work or invnorm(#,#,#)--if we do not write the invnorm or normalcdf we do not get credit!
•  For each problem show:
• Normal model (shaded)
• Normalcdf or invnorm( with what you typed in
• Circle your final answer; pay attention to converting decimals/%'s
• The more effort you put into tonight's homework the more prepared you'll be to ace tomorrow's classwork!

We've finished all the new content! And this is the end of the unit! So here's the plan...

Thursday: Discuss normalcf and invnorm in more depth (finish chapter 6 notes)

Friday: Chapter 6 classwork! Let's do some AP Free Response and AP MC in groups to prep for our test next week!

Monday (10/16): Unit 1 Vocabulary Exam (30 minutes) followed by a little review; I'll also be after school until about 3:15 on Monday to review for our "math test" on Tuesday.

Tuesday *(10/17): Unit 1 Exam (AP free response and multiple choice). 

Wednesday to Friday: Start Unit 2--Linear Regression

• Tuesday night's homework will be to review/study the "Linear Regression" stuff we covered in the summer, as this will not be re-taught in class (and we'll have a quiz on it next week!)
• If you missed the summer academy you will have to catch up on all of this!
• I will be after school on Wednesday to review the summer stuff regarding linear regression (which is also reviewing for the chapter 7 quiz we'll probably have on Friday 10/20)

Tuesday HW, Thursday HW

Periods A and H: Please complete the "Calculating Z Scores and Percentiles" worksheet provided in class (or below)! This will be checked on Thursday, as we do not have class tomorrow. 

• This assignment is a good review of everything you need to know about chapter 6--work hard to get this done and you've done lots of chapter 6 review/studying!
• Question 1a = shifting/rescaling review
• Question 2a to 2e = normalcdf review (use the notes from Friday or today's Chipotle examples)
• Questions 2f to 2i = invnorm review (based on today's notes)
• If you have period D or E free and would like to come to my class feel free! We'll be working on this assignment for the period (30 min)! Otherwise just get this hw done on your own!

Period D and E: No homework tonight! Tomorrow in class we will work on the assignment described above (in groups) and then will finish tomorrow for homework (if necessary)!

For those of you looking to get a head start here is Thursday night's homework--you know what you need to know to do all of this:

Page 127-128: 33, 35, 41, 43, 45

The end of the unit is near...so if you're curious, here's the current plan:

Thursday: Discuss normalcf and invnorm in more depth (finish chapter 6 notes)

Friday: Chapter 6 classwork! Let's do some AP Free Response and AP MC in groups to prep for our test next week!

Monday or Tuesday: Unit 1 Vocabulary Exam (30 minutes) followed by a little review; I'll also be after school to review for our "math test" on Tuesday.

Tuesday or Wednesday: Unit 1 Exam (AP free response and multiple choice). 

Wednesday or Thursday: Start Unit 2--look over all that linear regression stuff from the summer!

And finally, here's that homework worksheet in case you lost yours (or were out):

Here are the answers to the homework! 

TAKE HOME TEST DUE TUESDAY!

This weekend you must complete the "Unit 1 Take Home Exam" provided in class! 

• Email me if you need an electronic version (carofano.fm@easthartford.org)
• This will have a major impact on your grade DO NOT get a 0! Put in max effort to get this done and earn yourself an A!
• If you get a 0 you will likely earn at best a D this quarter (b/c you have a 0 on a test!)
• Be sure to show work for any multiple choice question marked with ** (and for all open ended questions)! No work, no credit!
• **Question #8 is poorly worded; based on the wording of, "what % of snowfall is less than 3 standard deviations from the mean," this sounds like "within 3 standard deviations of the mean, which would be 99.7%--but that's not an option...
• So, for question #8, answer the following:
• "What percent of snowfall is more than 3 standard deviations below the mean?"
• Use your notes and other resources!
• Check out the AP Stat course in Khan Academy for some help (signup info below)
• Use the AP Stat Guy Videos
• Use chapters 2-6 in your textbook AND your notes!
• Google stuff! Watch youtube videos! Do whatever you need to do to ace this thing and to make sure you know how to do every problem assessed on this take home!
• The more work you put into this take home test the more prepared you will be for our unit test--planned for Tuesday, 10/17 (vocab) and Wednesday 10/18 (math)!
• **If you were out today you will have to get our notes from a classmate AND/OR teach yourself how to find normal percentiles using normalcdf( in the graphing calculator!
• This applies to questions 11, 17, and 23!
• Read page 111 ("Finding Normal Percentiles Using Technology") through the yellow box on pages 112-113
• There is also an explanation and "Step by Step" examples about how to use a z-table, or do this "by hand," which we will not cover in class
• We will focus on using normalcdf to find percentiles (get Friday's notes or Google it!)
• Maybe this will help!
• Click me for some normalcdf help!

On Monday in class we'll do some more work with normalcdf, and then we'll start to look at some different types of problems--"working backwards." Until then, enjoy your 4 day weekend and get an A on that take home!

Another homework for this week or next week....sometime soon....if you want to get it done early....

• Sign up for Khan Academy and add me as a coach! 
• Class Code = 5HS925
• Khan has an AP Statistics course aligned with the AP exam--this is one of the best resources we have to use outside of class! 
• It's great for extra support, practice, and review--and prep for the AP exam!

Wednesday HW, Weekend HW

**One of our classmates' dogs ran away! :( Please help find him! Check out the flyer below!

Tonight please complete the following:

1.) Please complete the "Introduction to the Normal Model" worksheet provided in class (or below). 

2.) If you would like you can earn some homework extra credit points by completing the following (this will only be accepted tomorrow):

• Page 124-128: 17cde, 23cde, 27c

This weekend you must complete the "Unit 1 Take Home Exam" provided in class! 

• This will have a major impact on your grade DO NOT get a 0! Put in max effort to get this done and earn yourself an A!
• Email me if you need an electronic version (carofano.fm@easthartford.org)
• Use your notes and other resources!
• Be sure to show work for any multiple choice question marked with ** (and for all open ended questions)! No work, no credit!

Tomorrow in class we will extend our learning of the Normal model and get into some more complex math stuff--I CAN'T WAIT! See you there!

Another homework for this week or next week....sometime soon....if you want to get it done early....

• Sign up for Khan Academy and add me as a coach! 
• Class Code = 5HS925
• Khan has an AP Statistics course aligned with the AP exam--this is one of the best resources we have to use outside of class! 
• It's great for extra support, practice, and review--and prep for the AP exam!

Two's Day Homework

Tonight, please complete the following in your textbook (and check your answers in the back of the book (chapter 6)):

Page 124-128: 13, 17ab, 19, 23ab, 25

• For #19 remember that any value more than 3 standard deviations above/below the mean is considered "unusually low or high"
• For 17ab and 19ab use the notes/IQ example we did in class! (these are asking for the same thing as our notes--a sketch of the model with values labeled on the bottom and the %'s labeled on the curve, along with sentences interpreting the 68/95/99.7 rule)

Wednesday HW:

Page 124-128: 17cde, 23cde, 27c...more added tomorrow

• To do 17cde and 23cde we need to elaborate on our understanding of the 69/95/99.7 rule--read pages 109-111 (stop at "Finding Normal Percentiles by Hand") for more about this rule and the Normal Model
• Also take a look at this...

Another homework for this week or next week....sometime soon....if you want to get it done early....

• Sign up for Khan Academy and add me as a coach! 
• Class Code = 5HS925
• Khan has an AP Statistics course aligned with the AP exam--this is one of the best resources we have to use outside of class! 
• It's great for extra support, practice, and review--and prep for the AP exam!

Monday HW

Tonight, please complete the following in your textbook:

Page 123-128: 1, 3, 5, 7, 9, 11

• 1, 3, and 11 all deal with shifting and rescaling...
• 5, 7 and 9 are based on z-scores, which we discussed today in class--but if you were out or still have questions, read page 103 (z-scores), 106 (back to z-scores),  the "Step by Step" example on page 107, and the "When is a Z-Score Big?" section on p. 107 to 109.

If you're ever looking for some extra practice, especially with the end of the unit approaching, try some of the examples in the "Review of Part 1" on pages 130-140--I'd just use odds to practice so you can check your answers in the back of the book!

If you're feeling ambitious here is tomorrow (Tuesday) night's homework (if we didn't get far enough in class this would get pushed to Wednesday):

Page 124-128: 13, 17, 19, 23, 25

Another homework for this week or next week....sometime soon....if you want to get it done early....

• Sign up for Khan Academy and add me as a coach! 
• Class Code = 5HS925
• Khan has an AP Statistics course aligned with the AP exam--this is one of the best resources we have to use outside of class! 
• It's great for extra support, practice, and review--and prep for the AP exam!