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Welcome to AP Statistics with Mrs. McNelis

Join Mrs. McNelis for a fast-paced AP Statistics class, prepare for the exam, and dive into gathering and analyzing data to draw conclusions. Expect a tough yet rewarding experience with a focus on personal responsibility and respect.

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Welcome to AP Statistics with Mrs. McNelis

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  1. Welcome to AP Statistics with Mrs. McNelis • Please find your seat (name on note card)

  2. Please look over the book for any problems • Record your book number and any problems on the sheet being passed around.

  3. About Mrs. McNelis * Grew up in Philly and NJ * Went to Virginia Tech * Graduated with degree in Math, minors in Spanish and Statistics * Enjoy running (half marathons, 10K, etc.) * Coach XC * Teach AP Stat, Stat and Data Analysis, Algebra2 and Applied Math * Have a 2 year old son

  4. CAMERON

  5. What is Statistics? * Gathering & analyzing data * Making conclusions from data… both small and broad * Combination of Math and Writing

  6. Materials * 3 ring binder * Book * CALCULATOR: 83+, 84, or 84+ Expectations * Personal Responsibility & Respect * College student behavior * Cell phone policy- NEW

  7. About an AP class: * WILL prepare you for the exam (whether you are taking it or not) * FAST PACED! * Work Load (College level) * Tough grading… picky!

  8. AP EXAM * THURSDAY, MAY 11th, 11:30 am * Review sessions in April & May * Strongly encouraged to take exam * College credit, saving $, etc.

  9. Grading • Marking Period: • HW & Classwork = 20% • Quizzes/Tests/Projects = 80% • Tests: calculators, re-tests Final Course Grade * MP1 & 2 = each 40% * Final Exam = 14% * Assessments = 6%

  10. Extra Help * Make an appointment with me

  11. Website: http://www.cbsd.org/Page/5374

  12. Homework • Take notes on Ch. 2 (use online resources) • p. 17 #13-18 • Take online Quia survey by midnight tonight! See wikispace for link! • Print Ch. 3 notes for tmrw! (if you want them) • Last page of fact sheet filled out & signed- DUE FRIDAY

  13. Chapter 2 - Data * Context of the data is absolutely essential before we do anything! • The W’s (and H): Who, What, When, Where, Why, How • “Who” does not always imply people * Data tables help organize the data * Each row of a data table is called an individual case

  14. * Individuals = the things that we want to collect data from. People, animals, cars, etc. * Cases are usually from a SAMPLE of a larger POPULATION (hopefully representative) * POPULATION = ALL individuals that we want to conclude about * SAMPLE = small group of the population that we actually collect data from. Use this data to conclude about the population

  15. Read to middle of p. 11 • Variables are the “WHAT” of the data- things that were observed or collected. • Two types of variables: • Categorical: variable that names categories (words or numeric) • Quantitative: variable with numeric values, makes sense to take an average (must have units) - Examples: Colleges/Universities

  16. Example: Colleges/Universities Categorical Quantitative Type of major (business/math/etc.) SAT/ACT scores (points) Type of housing (dorm/apt/commuter) tuition cost ($) Division of sports (DI, DII, DIII) graduation rate (%) Type of university (liberal arts, public, private) number of sports offered Rating of school (4 stars, 3 stars, etc.) teacher/student ratio

  17. Read top of page 13 • Complete “Just checking”

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