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Welcome to AP Statistics with Mrs. McNelis

Welcome to AP Statistics with Mrs. McNelis. * Please find your seat (name on note card). Please take a textbook from the counter at the back of the room. Please look over the book for any problems Record your book number and any problems on the sheet being passed around.

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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 take a textbook from the counter at the back of the room • 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 & Data Analysis, and Applied Math

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

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

  6. 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!

  7. AP EXAM * FRIDAY, MAY 10th, 12:00 pm * Review sessions at night in April * Strongly encouraged to take exam * College credit, saving $, etc.

  8. Attendance * Absences, Lates, Cuts Homework (10%) and Classwork (20%) * Amount * Grading * Late assignments: CW = ½ credit

  9. Tests/Quizzes/Projects (70%) * Announced/unannounced * Calculators- allowed on all, cleared before & after * MC & FR * Re-tests Projects * Amount (3) * Grading & Lateness

  10. Final Exam/Performance Assessments * Final Exam = 14%, all MC * Core Assessments = 3% each, in class Extra Help * Before school * After school certain days (check first) * 1st block

  11. Grading • Marking Period: • HW = 10% • Classwork = 20% • Quizzes/Tests/Projects = 70% Final Course Grade * MP1 = 40% * MP2 = 40% * Final Exam = 14% * Assessments = 6%

  12. Website: http://mcnelis.wikispaces.com

  13. PRE- ASSESSMENT Please get out a piece of paper, put your name at the top Complete the following on the paper

  14. CREATE A BAR CHART FROM THE FOLLOWING DATA. • Party affiliations in a sample of Bucks County residents: • D R D D R • R R R I R • R D I I R • R R D R D

  15. 2) CREATE A PIE CHART FROM THE FOLLOWING DATA. Ratings from a sample of 2007 movie releases: G G PG G PG-13 R G R PG-13 R PG-13PG-13 R G PG PG PG PG-13 G G

  16. 3) CREATE A STEMPLOT FROM THE FOLLOWING DATA: A small sample of pitch speeds from an MLB pitcher. 95 101 87 89 92 93 94 92 98 95 91 90 88 79 90

  17. 4) WRITE DOWN HOW OLD YOU THINK I AM. Hint: I have graduated from college (22) and am younger than 45.

  18. Textbooks! • Read pages 2-3. Flip through the book when done. • What did you notice about this textbook compared to textbooks from other math classes?

  19. Important Parts of this Textbook • Three parts of a complete answer. The tell part is usually the most important! • Great examples to follow when doing your homework and classwork. • Will be used as closure activities

  20. Great section for helping you not make common mistakes. • Chapter Summary • Definitions with page numbers • Think; Show; Tell again

  21. Chapter 2 - Data * Read p. 7 to middle of p. 9 in the book Summary: * Context of the data is absolutely essential before we do anything! * The W’s (and H): Who, What, When, Where, Why, How * Data tables help organize the data * Each row of a data table is called an individual case

  22. * Individuals do not always mean people * 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

  23. 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

  24. Homework • p. 17 #13-18 • Take online Quia survey by midnight tonight! See wikispace for link! • Read Ch. 1 -- 3 • Print Ch. 3 notes for tmrw! (if you want them) • Print formula sheet for the course • Last page of fact sheet filled out & signed- DUE FRIDAY

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