Course Syllabus

syllabus AP Statistics, First Semester

Mizzou Academy

Welcome

We are pleased that you selected this course to fulfill your unique educational needs. You are now a member of the Mizzou Academy's global student body.

 

Course Overview

This is a 16 week online course composed of an orientation week and 16 weekly sessions. Expect to invest about 9-15 hours a week on course activities and assignments.

Students will compare the major concepts and skills for collecting, analyzing, and drawing conclusions from data and random phenomena. Successful completion of both semesters will help prepare students for the College Board’s exam.

Most AP courses consist of 2 semesters and you should complete semester 1 before starting semester 2. AP exams are offered early in May.

NOTE: If you enroll after the start date in an AP course, it is important that you adjust the pacing chart accordingly so you can complete your course before the scheduled AP exam dates or use this link to find more information about Advanced Placement and to see the AP Exam Calendar.

Lead Teacher Introduction

 

 Brennan Ransdell

 Teacher

 RansdellB@mail.missouri.edu

 Mathematics Division Chair

Prerequisites

Minimally, students should have completed Algebra II with a passing grade. Precalculus or Trigonometry are recommended.

COURSE OBJECTIVES

This online course will enable you to:

  • identify how  decisions may depend on statistical analyses and give examples of such decisions;
  • identify sources and consequences of variability;
  • distinguish related statistical terms, including population versus statistic, categorical versus quantitative, discrete versus continuous, and descriptive versus inferential;
  • construct bar charts or dotplots from data and identify requirements for using these graphs.
  • evaluate a research study in terms of six data analysis steps;
  • recognize possible bias in sampling and apply methods that avoid bias;
  • determine whether a study can reasonably generalize from a sample or draw a cause-and-effect conclusion;
  • recognize and use randomizationblockingdirect control, andreplication in study design.
  • recognize and use a control groupplacebosingle-blinddouble-blind, experimental units, and volunteers in study design;
  • avoid bias in designing surveys;
  • appropriately form and communicate conclusions from statistical analysis;
  • use the random number generators and catalog help functions of a TI-83+ or TI-84+ calculator.
  • represent categorical data with bar charts, relative frequency bar charts, segmented bar charts, pie charts, and Pareto charts;
  • represent quantitative data with stem-and-leaf displays;
  • represent quantitative data with frequency tables and histograms;
  • represent bivariate numerical data with scatterplots or time-series plots;
  • communicate with graphs using appropriate windows, labels, andclass intervals;
  • interpret statistical graphs in terms of variation, distribution shape, representative values, and potentially misleading features;
  • use lists in a graphing calculator to represent and graph data;
  • construct statistical graphs by hand or with a graphing calculator.
  • describe the center of data by meanmedianproportion of successestrimmed mean, and trimmed percentage;
  • describe variability of data in terms of deviation from the mean:variancestandard deviationquartilesinterquartile range, andpercentile;
  • describe a dataset in terms of its five-number summary, aboxplot, and outliers;
  • find the relative standing of a data value with Chebyshev's Rule, the Empirical Rule, and z score;
  • recognize how measures of center and variability are affected by different kinds of distributions or changes in data values;
  • calculate these measures by hand, calculator, or computer.
  • estimate the correlation coefficient from a scatterplot, and find the precise correlation coefficient r by hand, calculator, or computer;
  • fit a linear equation to raw bivariate data or summary statistics of bivariate data;
  • assess how well a regression line fits its data in terms of residuals, the coefficient of determination, residual sum of squares, and standard deviation about the least-squares line;
  • using a computer or calculator, fit common functions to bivariate data or use transforms to fit less common functions to bivariate data;
  • recognize the limits of correlation and regression: that understanding a relationship or lack of relationship requires several summary statistics and scatterplots; that correlation does not imply causation; and that you should beware of extrapolation.
  • describe the sample space of possible outcomes of events using such representations as lists of possible outcomes, trees, Venn diagrams, and tables;
  • recognize probability as a proportion of all possible outcomes, as a relative frequency in a large number of trials, or as a subjective judgment;
  • apply basic properties of probability such as the addition rule;
  • apply conditional probability;
  • recognize independent events and their implications for probability calculations and sampling;
  • apply general probability rules for the union and intersection of events, the law of total probability, and Bayes' rule;
  • estimate probability empirically and through simulation.
  • distinguish discrete and continuous random variables;
  • represent and interpret probability distributions for discrete random variables using tables, histograms, and formulas;
  • represent and interpret probability distributions for continuous random variables using probability density functions andprobability curves;
  • calculate the expected value (mean) and standard deviation of a random variable and linear combination;
  • identify the conditions and properties of binomial and geometric distributions;
  • calculate probabilities for data with a normal distribution, and convert between z score and data value;
  • check for normality using a normal probability plot and perform normalizing transformations with correlation;
  • use a normal distribution when appropriate to approximate a binomial distribution;
  • use tables,a calculator, or a computer for calculations related to probability distributions.

Required Materials

  • Introduction to Statistics and Data Analysis AP Edition (6th Edition). Roxy Peck, Tom Short, and Chris Olsen, eds. Boston, MA: Cengage Learning, 2020. (ISBN 978-1-337-79442-8)
  • Fast Track to a 5: Preparing for the AP Statistics Exam. Joshua Wilkerson, Vicki Greenbuerg, Viva Hathaway, and Ed Moulton, eds. Boston, MA: Cengage Learning, 2020. (ISBN 978-1-337-79443-5)
  • TI-83-Plus or TI-84-Plus graphing calculator. These advanced calculators are useful or required for other high school and college courses. Some schools let students check these out. The Silver Edition’s added memory is not needed for textbook exercises. The 84 has a few more functions than the 83. Lesson notes will offer ways to accomplish TI-84+ functions using the TI-83+ or using printed tables.
  • An appropriate cable to connect your calculator to the computer and the TI Connect software for file transfer. These items are usually sold with the calculator or where these calculators are sold. The software is free to download from the Texas Instruments Web site.
  • StatCrunch, an advanced statistics software you access online. By Lesson 4, you must register online for a StatCrunch ID. Currently, this requires an $29.99 credit card transaction for twelve months of access. Most students should select the subscription that will allow them to use StatCrunch through mid-May.
  • speakers or a pair of headphones (headphones preferred)

Optional

The following textbook may also be helpful, as it provides detailed solutions to the odd-numbered questions in the required textbook.

  • Student Solutions Manual for Introduction to Statistics and Data Analysis AP Statistics (6th Edition). Stephen Miller. Boston, MA: Cengage Learning, 2020. (ISBN 978-1-337-79417-6)

Technical Requirements

The most up-to-date requirements can be found here: 

Additional requirements for the course are below: 

  • audio and video recording capabilities (e.g. smartphone, camera)

Accessibility

If you anticipate barriers related to the format or requirements of this course, please let Mizzou Academy know as soon as possible. If disability-related accommodations are necessary (for example, a scribe, reader, extended time on exams, captioning), please contact Mizzou Academy.

Quizzes & Assignments

You should submit all assigned work in sequence (Lesson 1, then Lesson 2, etc.) Assignments for the course are listed at the bottom of this syllabus.

Most Mizzou Academy courses include graded quizzes, submitted assignments, online discussions, or a combination of these elements.

You may use any assigned readings, your notes, and other course-related materials to complete your graded quizzes, submitted work, and/or online discussions. The points you earn on your submitted work will count toward your final course grade. Be sure to check your work carefully for errors (e.g. spelling, grammar, and punctuation) as errors may result in points being deducted.

Each lesson provides step-by-step instructions on how to submit your work.

Graded Quizzes

All quizzes for Mizzou Academy courses are taken online. After you submit them, you’ll quickly receive a report on how you did.

NOTE: The graded quizzes cannot be retaken because you will receive immediate feedback for all items you’ve missed.

Submitted Assignments

Assignments may consist of written work (essays, compositions, etc.), collaborative wiki projects, journal entries, audio or video recordings, multimedia presentations, graphics, etc. Each assignment will list the instructions for completing that assignment. Assignments may require you to submit your completed work in the form of a file (such as a text document, image, audio or video recording, or multimedia presentation) or a hyperlink for grading. See your Helpful Resources section of your course for tutorials.

Canvas automatically allows students to resubmit assignments. However, students should not resubmit assignments without prior instructor approval.

Grades

Your final grade will be based on the number of points you earn on assignments and exams.

You will be able to see your exam percentage in the "Exams" column in your gradebook.

In order to pass the course, you must earn a minimum of a 60% average on the 2 exams combined. The following grading scale applies only to students who meet this standard:

Grading Scale
Grade Percentage
A 90–100
B 80–89
C 70–79
D 60–69
F 0–59

After completing the course, unofficial transcripts will be available in the Tiger Portal. See this page for information on requesting official transcripts. 

Exams

You are required to take two proctored exams for this course.

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NOTE: The midterm exam is composed completely of free-response questions that require handwritten responses. Your proctor must also have access to a printer and scanner (or camera) to upload and submit your responses.

See the "About Exams" in the policies section for additional information on exams at Mizzou Academy.

AP Exam

When you register for the AP exam, please use the Mizzou Academy provider code: 041. If you have any questions, please let your AP instructor or our AP Coordinator, Alicia Bixby know. Ms. Bixby’s email is bixbya@missouri.edu. 

AP - Discussions and Chats

Participation in online discussions (e.g., discussion forums, chats, community projects, and/or instructor conferences) is expected and will factor into your overall course grade.

All online discussions described in course lesson pages are required unless your instructor notes otherwise. Your instructor may also arrange additional required chats or instructor conferences. Be sure to regularly check the course calendar and announcements from your instructor regarding upcoming discussions and requirements.

Your participation in required online discussions will be evaluated on criteria such as frequency, timeliness, thoughtfulness and effort, and overall contribution to the knowledge base and learning experience of your classmates. You are also expected to monitor and respond to posts on discussion threads which you have started or have previously contributed to; you should not simply make a post and consider the discussion “done,” because it should be an ongoing conversation with your peers and/or instructor.

Postings that begin new discussion forum threads will be reviewed based on their relevance, demonstrated understanding of course concepts, examples cited, and overall quality. Postings that respond to other students’ posts will be evaluated based on relevance, degree to which they extend discussions, and tone.

AP - Late Work and Absences

Work must be turned in on time for full credit. If you are unable to complete an assignment on time, contact your instructor immediately. Prior permission from the online course instructor must be obtained for special circumstances to receive credit for late work. These decisions will be made on an individual basis.

You must notify your instructor if you expect to be offline for more than 1 week.

AP - Exam Prep Through Learning Express Library

In the next section, you will find "Getting Started Resources." Within the Library Material is Learning Express Library, which contains AP practice exams and study material, in addition to what is on the AP website. 

Below we are providing you with a direct link to the College Prep Center of the Learning Express Library. You can only launch it through this link. When you arrive, you should see "Mizzou Academy" on the left-hand side, showing that you are with our institution. You will want to create an account in order to save any work or test prep you do.  

Once you click the link below, select "Prepare for your AP Exam". Please create a help ticket (Help -> Report a problem) if you cannot find what you are looking for.

EBSCOhost

Canvas and Technical Support

Canvas will be used as the primary platform for accessing course materials and assignments for this class.

Course Summary:

Course Summary
Date Details Due