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Welcome to AP Statistics

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Presentation on theme: "Welcome to AP Statistics"— Presentation transcript:

1 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

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 & Data Analysis, Algebra 2 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 Expectations
* 3 ring binder (print notes!) * 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 at night in April * Strongly encouraged to take exam * College credit, saving $, etc.

9 Grading Final Course Grade
Marking Period: HW & Classwork = 20% Quizzes/Tests/Projects = 80% Tests: calculators, re-tests Final Course Grade * MP 1 & 2 = each 40% * Final Exam = 14% * Assessments = 6%

10 Extra Help * Make an appointment with me

11 Website:

12 Textbooks! Go to page 4 in the textbook

13 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

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

15 P. 14- Calculator screen shots
TI TIPS

16 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

17 Individuals = the things that we want to collect data from
* 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

18 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

19 P. 13: Complete “Just checking”

20 Just checking: Who = tour de France race What = year, winner, etc. Where = France When = 1903 to 2008 Why = not specified (maybe to see progress of speeds in racing?)

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

22 ACTIVITY!


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