12th+Statistics

__ **Statistics (2015-2016) ** __

Teacher: Kacie Horton
__ **Reference Material: ** __ Starnes, Daren S., Daniel S. Yates, and David S. Moore. //Statistics through Applications//. New York: W.H. Freeman, 2011. ISBN: 978-1429219747 __ **Course Overview ** __

Statistics are everywhere . They are often used to deceive or confuse. Statistics can be hard to understand, or can be very illuminating. The goal of this course is to teach you how to be data literate. Right now, most people in America are data illiterate, and it creates all kinds of problems. Data illiteracy affects politics, marketing, the media, nutrition, and many other important areas of life. Probability is the mathematics that fuels good statistics. In order to understand statistics, you must understand probability.

The most basic misconception about statistics is that a statistic is a fact. When, in fact, a statistic is merely an estimate . Although, sometimes it is such a good estimate, it can be considered a fact for all practical purposes.

Statistics is not a mathematics course . It would be much more appropriate to label statistics as a science course. Mathematics are used heavily, but as a means to an end.

Statistics is relevant . It is relevant to you right now, and will continue to be for the rest of your life. I hope that after this course, you read articles differently, you think about studies with more skepticism, and most importantly, that you yourself can use statistical methods to accurately illuminate the truth that is hidden within large sets of data.

This class will require the use of GeoGebra, Spreadsheet software (Excel, Google Sheets, etc.), and a TI-83/84 graphing calculator. If you do not own a graphing calculator, one will be provided to you on loan for the year.
 * __Technology __ **

=__** Expectations **__=

You are expected to be respectful and abide by the one voice rule. You are expected to engage with classmates during small group and keep conversation within their group. You’re also expected to be ready to learn and keep your workspace clean and organized.

__** Goals **__

The goals for this coarse are analyzing mathematical relationships and applying them to problems that arise in everyday life, society and the workplace. Conducting studies by applying mathematical processes and communicating the results. Understanding probability and random variables and making inferences and justify conclusions from statistical studies.

__** Routines and Procedures **__

Classroom procedures include coming into class quietly and starting the warm-up when the bell rings while I take roll, waiting to be dismissed from class and having a clean workspace before leaving. Assignments are to be turned in at the beginningof class the day they are due //(there will be a 10% deduction for each day the assignment is late).// If you’re tardy then enter quietly and begin the warm up or class work. You will give me as much notice as possible when they are going to be absent. Make up work can be given when appropriate.

__ **Grading Scheme ** __

50% Tests and Projects 30% Quizzes 20% Homework


 * __<span style="font-family: Georgia,serif; font-size: 19.444442749023438px;">Schedule __ **

__Quarter 1__ Unit 1 Introduction to Statistics Unit 2 Describing Distributions of Data Unit 3 Modeling Distributions of Data

__Quarter 2__ Unit 4 Describing Relationships Unit 5 Sampling Unit 6 Surveys

__Quarter 3__ Unit 7 Designing Experiments Unit 8 Probability Unit 9 Probability Models

__Quarter 4__ Unit 10 Introduction to Inference Unit 11 Inference about a mean population Unit 12 Review and Final Projects

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