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Tuesday, January 30, 2018

Test Tomorrow: Methods of Data Collection (Round 2)

**If you were absent today you MUST make up the Unit 3 Exam tomorrow! If you cannot do so during a study hall or after school you will have to complete the test in class (and miss our "new stuff")! Please send me an email or Remind message to set up a plan!**


Tonight, study, study, study! Tomorrow we will start class with 15 more minutes of our Unit 3 Exam:

  • Matching Vocab Section (14 terms to match to the given definitions)
    • You should take 9 or 10 minutes on this part (know your stuff!)
    • Here's some vocab to know:
      • 4 Methods of Data Collection (Simulation, Survey, Experiment, Observational Study--look at Friday's notes)
      • Sampling Methods (SRS, Stratified, Cluster, Systematic, Census, Voluntary Response, Convenience)
      • Bias and Types of Bias (general definition, know how to define each type)
      • Experimental Design Vocab (factor, levels, response variable, blinding, placebo, control, blocking, replication)
  • 3 (more) AP Multiple Choice (5-6 minutes)
    • Determine if a study is an experiment, blocked experiment, or observational study (like the "flowers" multiple choice from our recent stamp--the paper has 3 MC questions on it and was graded with an orange colored pencil)
    • Determine a sampling method for a given context
    • Determine the most noticeable type of bias for a given context (like Monday's stamp MC)
After tomorrow's test (15 minutes) we'll start chapter 18! And I CAN'T WAIT (click me)

If you'd like to get yourself prepared for our next unit it would be a good idea to review the Normal model (chapter 6)--68/95/99.7 rule, normalcdf and invnorm problems, and z-scores! See you there!

Monday, January 29, 2018

Test Tomorrow: Methods of Data Collection

Tonight, study, study, study! Tomorrow we will take our "Methods of Data Collection Exam" in class! Then it's time to get back to some math and start a new unit on Wednesday!

Also, remember that your Methods of Data Collection take home exam is due tomorrow!

  • See the blog post from Friday (below) for more details or if you need a copy
Here's an outline of tomorrow's test:
  • Part 1 = Matching Vocab (14 terms)
    • Be sure to know the definition of simulation (Friday's notes)
    • Otherwise, all vocab terms are on your chapter 12 and chapter 13 vocab quizzes!
    • Be sure to know....
      • Sampling Methods
      • Types of Bias
      • General definition of bias
      • Factors/Levels/Treatments/Response variable
      • Blinding
      • Methods of Data Collection (Friday's notes)
      • Sampling Variability (aka Sampling Error)
  • Part 2 = AP MC (9 questions)
  • Part 3 = AP FR (3 contexts, 7 total questions)
  • Some things to know....
    • Write a procedure for a cluster sample, stratified sample, or SRS
    • Know how to identify an appropriate variable to stratify (or block) by and explain why
    • Identify the "pieces" for an experiment (like today's stamp)
    • Identify a sampling method used for a given context
    • Identify the most noticeable type of bias for a given context
    • Identify sample, population for a context
    • Determine what method of data collection was used in a study (and explain your reasoning)


Friday, January 26, 2018

Tests, Tests, Tests!

**If you were absent today you will start class on Monday with your chapter 12 vocab quiz! Check yesterday's blog post for the list! Use your notes and/or the glossary at the end of chapter 12 to study! Be ready--no excuses!**

This weekend you should complete your "Methods of Data Collection" take home test (provided in class today or below)!
  • Get this done! If you turn this in on Monday you will receive +3 extra credit points on the test!
  • It might be annoying/inconvenient to look at the images below for the take home test--if you'd like the word document just send me an email and I'll reply with the attachment (carofano.fm@easthartford.org).
  • This is a great way to start studying this weekend (for Tuesday's test)--get this done, then do more studying Monday night!
On Monday in class we will do some more work with bias--we'll start with a warmup dealing with experimental design (for a lil' review), then we'll work through some free response questions dealing with bias (and look at the rubrics).

Then on Tuesday it's our Methods of Data Collection test! I'll be here after school if you'd like to come by with questions (or to do some practice/review)!

Here's a general outline of what will be on Tuesday's test:
  • Vocabulary matching section (14 terms--use your chapter 12 and 13 quizzes to review)
  • AP Multiple Choice (9 questions)
  • AP Free Response (3 questions/contexts with 7 total parts)
  • Some test topics:
    • Be sure you know how to write a procedure for a simple random sample, cluster sample, and stratified sample!!
      • Look over the 2011 "apartments" free response we had for homework!
    • Be able to identify flaws in a sampling method (describing bias)
    • Know how to design/critique an experimental design
      • Don't forget about blocking!
      • Identify factors, levels, treatments, response variable
    • Determine what method of data collection was used in a study (simulation, survey, experiment, observational study) and explain why
    • Identify a sampling method given a context
    • Identify the "most noticeable bias" for a given context
    • Identify a population that we can generalize to from a sample
      • Identify a sample, population, sampling frame for a given context
And here is the take home test (or email me for the word document: carofano.fm@easthartford.org):









Thursday, January 25, 2018

Ch. 12 Vocab Quiz Tomorrow!

Tonight STUDY, STUDY, STUDY! Come ready to ace your chapter 12 vocab quiz! After the quiz we'll do some AP free response practice with "writing about bias." See you there!

Here's the chapter 12 vocab list:
  • Know your methods of sampling!
    • Simple Random Sample (SRS)
    • Stratified Random Sample
    • Cluster Random Sample
    • Systematic Random Sample
    • Census
    • Convenience Sample
    • Voluntary Response Sample
  • Know about bias and types of bias!
    • Bias (general definition)
    • Voluntary Response Bias
    • Undercoverage
    • Response Bias
    • Non-response Bias
  • Other vocab:
    • Sample
    • Sampling Frame
    • Population
    • Sampling Variability
    • Population Parameter
    • Sample Statistic 
If you'd like some more practice with bias, AND to get a head start on your weekend homework, do some (or all) of these book problems below!

Weekend Homework = UNIT TAKE HOME TEST!

  • This will be provided tomorrow in class. 
  • Sorry, changed my mind about weekend homework...
  • If you already did the book problems listed please see me and we'll discuss some extra credit.

Wednesday, January 24, 2018

Weds HW and Upcoming Quizzes!

Tomorrow we will start class with another short quiz--it will look very similar to the "Fenway Park Pop Quiz" homework we had last week!

**If you were absent today be sure to look at the homework and use these examples to practice; you're taking the quiz tomorrow!**

Tonight, please complete the "Ch. 12: Sampling HW" provided in class (or below). Use the answer key below to check your responses and use this to study for tomorrow! 

Additionally, we will have our chapter 12 vocabulary quiz to start class on Friday! Busy week--this is the tone we're setting for the 3rd quarter, we have to be on top of our game and ready to earn an A every day!


Tonight's (Wednesday) HW:


And here's a key to the "Pop Quiz" homework from Thursday night, which covered the same concepts--our quiz tomorrow is a different version of this!



Finally, here are the homework answers so you can use tonight's homework to review/study for tomorrow's quiz to start class:

  • 1.) Suppose East Hartford....
    • Population: all residents of East Hartford
    • Parameter of Interest: proportion/% of all EH residents who believe the school should start a field hockey team
    • Sampling Frame: any person (hopefully EH resident) who visits the district website
    • Sample: all EH residents who voted on the poll
    • Sampling Method: voluntary response sample
  • 2.) The U.S. Department of Education...
    • Population: all high school seniors in the U.S.
    • Parameter of Interest: mean/average number of colleges/universities applied to (per student) for all high school seniors in the U.S
    • Sampling Frame: all high school seniors in the U.S.
    • Sample: the 3,481 high school seniors who were randomly selected
    • Sampling Method: stratified sample (selected some seniors from each state)
  • 3.) Connecticut state police....
    • Population: all cars/drivers in CT
    • Parameter of Interest: proportion/% of all EH cars/drivers in CT who have a problem with one of these requirements
    • Sampling Frame: any person/car that drives by/through this roadblock
    • Sample: any cars/drivers that were stopped at this roadblock
    • Sampling Method: convenience sample
  • 4.) Determine statistic or parameter and correct symbol....
    • a.) Parameter: "mu"
    • b.) Statistic: "p-hat"
    • c.) Statistic: "x-bar"
    • d.) Statistic: "Sx"
    • e.) Parameter (no symbol)
    • f.) Statistic (no symbol)
    • g.) Parameter: "p"
    • h.) Parameter: "sigma"

Tuesday, January 23, 2018

Two's Day HW

**If you were absent today you will start class with a "pop quiz" tomorrow--be sure you know how to identify sampling methods!**

Tonight please complete all of the 2011 free response and part A of the 2014 free response provided in class (or below).

  • We need to learn a little more about bias before we can fully respond to part B of the 2011 question, but of course you can give it a shot!
  • We will discuss ("go over") some of this stuff in class tomorrow, so be ready!
    • These are great representations of how we might see sampling methods used in free response questions on the exam!
    • Put in max effort and come ready to discuss these more tomorrow!
  • If you would like to score your free response and/or see some sample answers use the links below:




Here's tomorrow night's homework if you'd like to get a head start:


And here's a key to the "Pop Quiz" homework from Thursday night, which covered the same concepts:


Monday, January 22, 2018

Monday HW!

Tonight's homework = practice with identifying sampling methods, samples, populations, sampling frames, etc.

  • Tonight please complete the following questions in the "Chapter 12 MC" packet provided in class:
    • 1-3; 5-13; 15; 20-22; 24
    • We will quickly go over these answers with the random name generator tomorrow in class, so be ready!
    • We will also start class tomorrow with a quick quiz dealing with sampling methods, so by doing your homework you are studying for that quiz!
    • About the other questions:
    • Questions 14, 16-19, and 25 deal with bias--we will discuss these ideas later this week.
      • Feel free to investigate these answers independently if you'd like to get ahead!
    • Question 4 is a "bad question...."
      • A population parameter (of interest) is the value that we are trying to estimate based on our sample data
        • For this context, we are trying to estimate the proportion (%) of all subscribers who believe the magazine is helpful in their daily lives
      • We tried to do a census (mailed a survey to all subscribers), but not all responded--so we have a sample...
        • A sample statistic is a number that summarizes a sample--for our sample 78% of those who responded said the magazine was helpful, so this 78% is a sample statistic...
        • Which means there is really no correct answer
      • If all subscribers had responded to the survey then the 78% would be the proportion of the population (all subscribers) who find the magazine helpful, and would be the population parameter of interest
        • But again, we see "of those who responded," which implies the entire population did not respond, so the 78% is the proportion/% of our sample of subscribers who say the magazine is helpful, and is thus a sample statistic
Tomorrow we'll wrap up our discussion about sampling methods (after our quiz), then we'll start to examine the difference between sample statistics and population parameters.

Here's tomorrow night's homework if you'd like to get a head start:


And here's a key to the "Pop Quiz" homework from Thursday night, which covered the same concepts: