ST 311_Spring08_info



August 10, 2019ST 311_601 Fall 2019IMPORTANT!! Your grade will be determined by your performance in three required assessment activities:1). Homework that can be accessed at ).Mastery Points that can be earned at our course content, multimedia learning aids, and mastery points quizzes website3).Exams: two midterm exams and a final exam taken locally at the distance education proctoring center or arranged at a remote site.For more details see How Your Grade is Determined on p. 7.Final Exam Window/Important Deadline: Monday December 9, 2019 - Monday December 16, 2019. Course ends on last day of final exam window. **WARNING! WARNING!**Do not over-schedule! This course requires at least as much of your time as a traditional lecture-driven course. Do NOT assume that it can be ignored in your time-management plans for the semester just because it is a distance education class. Be realistic in your planning; for example, you probably cannot take 16 hours and work 2 part-time jobs just because this course constitutes 3 of the 16 hours. As we proceed through the semester remember that procrastination on your part does not constitute an emergency on my part.READ ALL THE INFORMATION BELOW. CAREFULLY FOLLOW THE INSTRUCTIONS FOR OBTAINING THE COURSE MATERIALS USING THE ALL-IN PROGRAM AT THE NCSU BOOKSTORE.*****************************************************************************************COURSE INFORMATION QUICK-FIND TABLE (point to link and press Ctrl+click)Course TextAcademic Integrity PolicyHow Grades are DeterminedExamsWebassign HomeworkWebassign Homework Due DatesMastery PointsSyllabusGreetings!Welcome to ST 311! I hope your enrollment in this course proves to be a very positive experience for you. It is very important that you read this letter and the accompanying course information material in their entirety so that you are properly informed of all details concerning the administration of the course. I will be sending you course-related email throughout the semester, but if you have a question at any time, email me at st311distance@stat.ncsu.edu, Course information and important advice on how to be successful in this course are available on the web at take the course you will have to frequently access the following two web sites:i) ST 311-601 Introduction to Statistics Fall 2019 course content website at course content, multimedia learning aids, and mastery points quizzes websiteii) WebAssign (an NCSU web-based homework/exam delivery, collection, grading and recording system) at) PURCHASE WEBASSIGN ACCESS!The use of WebAssign requires an online credit card transaction to purchase access. The cost for WebAssign access will be approximately $25 for our class; there is a reduced rate for All Class Access if you are enrolled in 3 or more classes that use webassign. Access can be purchased online after logging into WebAssign. No access code is needed to access or purchase webassign for this course. There is a grace period at the beginning of the semester that enables you to use WebAssign for free; the grace period ends at midnight EDT Wednesday Sept. 4. After this time you cannot use WebAssign unless you have purchased access.2)REQUIRED TEXT MATERIALSHOW TO PURCHASE ACCESS TO THE ETEXT AND ST 311-601 PEARSON MYLAB:Sign in to Wolfware at . Click the Moodle icon next to ST 311-601.Follow the link provided by the NC State University Bookstore to purchase Pearson MyLab. Purchase access by/before 09/04/19. Free access goes away after 09/04/19. If you fail to purchase access by this date, your access to course materials will be interrupted, and any subsequent purchase will be more expensive. Purchase after 09/04/19 can be made at with a credit card using the course id reiland34163.HOW TO ACCESS THE ETEXT AND ST 311-601 PEARSON MYLAB (INITIAL REGISTRATION):(Note: the Chrome browser is recommended) Before the first day of class you will receive from the NC State University Bookstore an email with an individual access code that you can temporarily use free of charge. Use the access code in step 4) of the directions shown below.Click the link provided on our ST 311-601 Moodle page. Under Register, select Student, then select OK! Register now.Enter the following Course ID reiland34163 and select Continue.If you have a Pearson account, enter your username and password. You have an account if you have ever used a MyLab or Mastering product. Otherwise, select Create. Be certain to remember your Username and Password.Choose the Access Code option and enter the access code that was provided to you via email by the NC State University Bookstore just prior to the start of the semester. (After the semester begins, the Access Code is sent following confirmation of enrollment.)HOW TO ACCESS THE ETEXT AND ST 311-601 MYLAB LATER (AFTER COMPLETING THE INITIAL REGISTRATION OR PURCHASE):Click and select Sign in. Enter your Username/Password and select Sign In. This link is also posted in the Announcements on our Moodle page.On the My Courses page select ST 311_601 Introduction to Statistics Fall 2019.3) OPTIONAL TEXTIf in addition to the required material above, you also desire a more traditional text, you can purchase an unbound version of our course text Stats: Data and Models by Richard DeVeaux, Paul Velleman and David Bock, 4th ed., 2016. Addison Wesley Publishing Co., ISBN: 978-0-321-98999-4.**********************************************************************************************ST 311_601 is a self-paced (to some extent) course during the semester in which it is offered. Due dates for webassign homework and mastery points will assist you in maintaining a steady work pace throughout the semester and increase the benefit you derive from the course. Since topics later in the course depend on material introduced earlier in the course, you would find yourself quickly overwhelmed if you attempted to cover everything in a short period at the end of the semester.Mark your calendars with the webassign homework and mastery points due dates and the exam windows shown elsewhere in this document. In addition, go to Notifications and follow the directions to receive email homework due date reminders from webassign.Procrastination on your part does not constitute an emergency on my part.SOFTWARE: EXCEL AND STATCRUNCH Statistics is not a spectator sport! In this course you will be doing statistics rather than listening to someone talk about doing statistics. The main tools that will facilitate your involvement are one or more of the following: Excel, your graphing calculator, if you have one (you do not need to purchase a graphing calculator for this course), or Statcrunch.It is very important, especially for Mac users, that you read the information in the Computers/Calculators section of our class webpage concerning the use of Excel and Statcrunch.Statcrunch is available online at two locations:1) (Unity login required), and2) our course content, learning aids, and mastery points quizzes website (click on “Statcrunch” in the left column, then click “view data from text”).Statcrunch is a cloud-based award-winning spreadsheet-type statistics program that is superior to Excel in many aspects of Statistics. You will use these tools in many of the homework problems to analyze interesting real-world data sets included with the problems. After completing this course many students have found Statcrunch to be very useful in subsequent courses and in their work.HOMEWORKThe homework activity consists of two required components:1) 12 webassign homework assignments;2) 15 mastery points earned by taking 5-question quizzes at the ST 311-601 Introduction To Statistics Fall 2019 course content, learning aids, and mastery points quizzes website. A mastery point quiz consists of a few questions associated with a specific textbook chapter objective. See the Course Information section below for more details concerning the webassign assignments and mastery points. Students are encouraged to discuss the homework problems; you can learn a great deal from each other. Each webassign homework assignment will have its own forum on webassign to encourage and facilitate discussion of the homework. However, the actual submissions of the answers must be done independently.WEBASSIGN HOMEWORK AND MASTERY POINT DUE DATESThere will be twelve 30-point assignments during the semester with due dates shown below. Each assignment must be submitted by 11:59 pm on the due date. After its due date an assignment can still be viewed along with its answer key but answers cannot be submitted. Webassign at will be used to administer the assignments.AssignmentSubmit No Later Than:Webassign homework 1Fri. Aug. 30, 2019Webassign homework 2Fri. Sept. 6, 2019Webassign homework 3Fri. Sept. 13, 2019Webassign homework 4 Fri. Sept. 20, 2019Exam 1 Mon. Sept. 23 – Mon. Sept. 30 at Delta Exam Proctoring Center (90-minute time limit)Webassign homework 5Sun. Oct. 6, 2019Webassign homework 6 and Chap. 17 Mastery PointsFri. Oct. 11, 2019Webassign homework 7 and Chaps. 18, 19 Mastery PointsFri. Oct. 18, 2019Webassign homework 8 and Chaps. 21, 22 Mastery PointsFri. Oct. 25, 2019Exam 2 Mon. Oct. 28 – Mon. Nov. 4 at Delta Exam Proctoring Center (90-minute time limit)Webassign homework 9 and Chaps. 20, 21 Mastery PointsFri. Nov. 8, 2019Webassign homework 10 and Chaps. 22, 23 Mastery PointsFri. Nov. 15, 2019Webassign homework 11 and Chap. 24 Mastery PointsFri. Nov. 22, 2019Webassign homework 12 and Chap. 25 Mastery PointsFri. Dec. 6, 2019Final Exam Mon. Dec. 9 – Mon. Dec. 16, 2019 at Delta Exam Proctoring Center (2-hour time limit).Each webassign homework covers material in the textbook chapters shown below:Webassign homework 1: chapters 1, 2, 3Webassign homework 2: chapters 3, 4, 5Webassign homework 3: chapters 6, 7, 8Webassign homework 4: chapters 10, 11Webassign homework 5: chapters 13, 14Webassign homework 6: chapter 17Webassign homework 7: chapters 18, 19Webassign homework 8: chapters 21, 22.1-22.4Webassign homework 9: chapters 20, 21Webassign homework 10: chapters 22.5-22.6, 23Webassign homework 11: chapter 24Webassign homework 12: chapter 25EXAMSThere are 2 midterm exams and a final exam . The exams are administered through the Distance Education Exam Proctoring Facility located on NC State’s Centennial Campus. The exams are scheduled for the following time periods:first midterm exam: Mon. Sept. 23 – Mon. Sept. 30; (90-minute time limit).second midterm exam: Mon. Oct. 28 – Mon. Nov. 4; (90-minute time limit).final exam: Mon. Dec. 9 – Mon. Dec. 16; (2-hour time limit).Appointments are necessary to take exams at the campus Delta Testing Centers; appointments must be made at least 24 hours in advance. Make an appointment (unity login required).Students in the Raleigh area (within 50 miles) should make use of the local proctoring option. Students outside the Raleigh area should make use of the remote site proctoring option; the Proctoring Facility will assist you with the process of finding a suitable exam proctor in your area. A suitable proctor is typically someone currently employed in a professional or managerial occupation and preferably a representative from a university, college, or school in an academic or administrative capacity. The Course Information document below contains the syllabus and more detailed information about grading, exams, and homework.I wish you a good semester and success in the course. GOOD LUCK!Sincerely,Thomas W. ReilandThomas W. ReilandAssociate Professor, Statistics and Operations Researchreilteam@COURSE INFORMATIONSTATISTICS 311_601 DISTANCE EDUCATIONINTRODUCTION TO STATISTICS"We shall not cease from exploration and the end of all of our exploring will be to arrive where we started and to know the place for the first time."T. S. EliotIMPORTANT!! Your grade will be determined by your performance in three required assessment activities:1). Homework that can be accessed at ).Mastery Points that can be earned at our course content, multimedia learning aids and mastery points quizzes website3).Exams: two midterm exams and a final exam taken locally at the distance education proctoring center or arranged at a remote site.For more details see How Your Grade is Determined on p. 7.Final Exam Window/Important Deadline: Monday December 9, 2019 - Monday December 16, 2019. Course ends on last day of final exam window. READ ALL THE INFORMATION BELOW. CAREFULLY FOLLOW THE INSTRUCTIONS FOR REGISTERING AT THE COURSECOMPASS WEBSITE AND FOR INSTALLING THE ACTIVSTATS CD.*************************************************************************************Instructor: Thomas W. Reiland, 5278 SAS Hall, Tel. 919-515-1939, Fax 919-782-5204;Email: st311distance@stat.ncsu.educlass homepage: content homepage: course content, multimedia learning aids and mastery points quizzes websiteWebAssign: Description: ST 311-601 is NOT a math course. The central theme of the course is to help you learn to understand the world from data. Specifically, the course will enable you to: i) incorporate statistical thinking into your everyday lives; ii) acquire the necessary data-gathering, data-analysis, and interpretation/communication expertise to meet the challenges of a more demanding cognitive global environment. “Beyond the formula” skills are emphasized. This course will require you to: think critically, be skeptical, think about variation (rather than just about the center), move beyond a “memorize the answer” approach, and think about conditional probabilities and rare events (humans just don’t do the latter very well). Some mathematical skill is required to work with elementary statistics (basic high school algebra is the mathematical prerequisite), but mathematical manipulations will be replaced by relying on technology for the calculations and graphics; this will allow more emphasis to be placed on the “beyond the formula” skills mentioned above.This course requires more intellectual effort than the low mathematical level suggests! It is related to every other course you may study. The course is elementary in mathematical level but conceptually rich in statistical ideas and serious in its aim to improve your data-analytic skills and your ability to apply statistical methods with understanding.You can tailor the course to suit your particular learning style by “mixing and matching” the many traditional and multimedia learning aids available at our course content, multimedia learning aids and mastery points quizzes website. The Stats: Data and Models text has short, teachable chapters and an approachable, colloquial style that makes the text very readable. The Pearson course web site matches the organization of the Stats: Data and Models text and includes a high quality interactive ebook with links to a wide variety of resources available to students.Course Text:REQUIRED:HOW TO PURCHASE ACCESS TO THE ETEXT AND ST 311-601 PEARSON MYLAB:Sign in to Wolfware at . Click the Moodle icon next to ST 311-601.Follow the link provided by the NC State University Bookstore to purchase Pearson MyLab. Purchase access by/before 09/04/19. Free access goes away after 09/04/19. If you fail to purchase access by this date, your access to course materials will be interrupted, and any subsequent purchase will be more expensive. Purchase after 09/04/19 can be made at with a credit card using the course id reiland34163.HOW TO ACCESS THE ETEXT AND ST 311-601 PEARSON MYLAB (INITIAL REGISTRATION):(Note: the Chrome browser is recommended) Before the first day of class you will receive from the NC State University Bookstore an email with an individual access code that you can temporarily use free of charge. Use the access code in step 4) of the directions shown below.Click the link provided on our ST 311-601 Moodle page. Under Register, select Student, then select OK! Register now.Enter the following Course ID reiland34163 and select Continue.If you have a Pearson account, enter your username and password. You have an account if you have ever used a MyLab or Mastering product. Otherwise, select Create. Be certain to remember your Username and Password.Choose the Access Code option and enter the access code that was provided to you via email by the NC State University Bookstore just prior to the start of the semester. (After the semester begins, the Access Code is sent following confirmation of enrollment.)HOW TO ACCESS THE ETEXT AND ST 311-601 MYLAB LATER (AFTER COMPLETING THE INITIAL REGISTRATION OR PURCHASE):Click and select Sign in. Enter your Username/Password and select Sign In. This link is also posted in the Announcements on our Moodle page.On the My Courses page select ST 311_601 Introduction to Statistics Fall 2019.OPTIONAL:If in addition to the required material above, you also desire a more traditional text, you can purchase an unbound version of our course text Stats: Data and Models by Richard DeVeaux, Paul Velleman and David Bock, 4th ed., 2016. Addison Wesley Publishing Co., ISBN: 978-0-321-98999-4.Back to Quick-Find TableAcademic Integrity Policy: Any form of academic misconduct is a violation of the Student Code of Conduct and will not be tolerated. Academic misconduct may be defined as "any activity which tends to compromise the academic integrity of the institution, or subvert the educational process". I expect complete honesty in the completion of webassign homework and tracked tutorial exercises. The student's electronic submission of assigned work means that the student neither gave nor received unauthorized aid. Cheating on an exam or webassign homework at the least will result in an F in the course. Students are encouraged to discuss webassign homework and tracked tutorial exercises with each other; however, submission of the answers must be done independently. Violations of this rule will not be tolerated and will be considered cheating. Further details on academic integrity are in NC State University's Code of Student Conduct at . Also note the existence of the University policy on academic integrity found in the Code of Student Conduct (in Appendix L of the Handbook for Advising and Teaching and at University Policy on Academic Integrity (see paragraphs 6 and 9)..Back to Quick-Find Table How Your Grade is Determined:For grade determination purposes, each midterm exam is 150 points and the final exam is 200 points; each webassign homework has 30 possible points; each “mastery point” is worth 10 course points. The point totals for each component are shown below: Exams500 points (2 midterms: 150 pts. each, final exam: 200 pts.) Webassign homework360 points (12 assignments @ 30 pts. each) Mastery Points150 points (15 mastery points @ 10 pts. each)Total 1010 pointsYour grade in the course is assigned according to the percentages shown in the table below. The percentage score, rounded to 2 decimal places, is determined by summing your exam score (500 total points possible), your webassign homework score (360 total points possible) and mastery points (150 total points possible) and dividing this sum by 1010. The webassign homework is posted online at webassign, . The “mastery points” are earned by passing short auto-generated quizzes at the ST 311-601 Introduction to Statistics Fall 2019 course content, multimedia learning aids and mastery points quizzes website (click on Mastery Points in the left panel). Exam, homework, and mastery point details are explained below the grade table.GRADING SCALE PERCENTAGESFD-DD+C-CC+B-BB+A-AA+<6060.00-62.4962.50-67.4967.50-69.9970.00-72.4972.50-77.4977.50-79.9980.00-82.4982.50-87.4987.50-89.9990.0092.4992.50-97.9998.00-100Back to Beginning Back to Course Information Top Back to Quick-Find TableExams: There are 2 midterm exams and a final exam. The following textbook chapters are covered on the exams:first midterm exam: chapters 1-8 and 10-11; the topics in these chapters are covered in webassign homework assignments 1-4.second midterm exam: chapters 13-14 and 17-19, 21, 22.1-22.4; the topics in these chapters are covered in webassign homework assignments 5-8.Final exam: chapters 20, 21, 22.5-22.6, 23-25; the topics in these chapters are covered in webassign homework assignments 9-12.For each exam you are allowed to create one 8? × 11 formula/definition sheet (you can write or type on both sides); on this sheet write any formulas or definitions you think you will need for the exam. You are also allowed to use a hand-held calculator. The exams are closed book.For the final exam, in addition to the 8? × 11 formula/definition sheet, you should also bring a printout of the 2-page file "Formulas from Chapter 25 for inference in simple linear regression" available under Homework 12 in the "More Powerpoint Slides ..." section of our class web page.The exams are administered through the Distance Education Exam Proctoring Facility located on NC State’s Centennial Campus. The exams are scheduled for the following time periods:first midterm exam: Mon. Sept. 23 – Mon. Sept. 30; (90-minute time limit)second midterm exam: Mon. Oct. 28 – Mon. Nov. 4; (90-minute time limit)final exam: Mon. Dec. 9 – Mon. Dec. 16; (2-hour time limit)Appointments are necessary to take exams at the campus Delta Testing Centers; appointments must be made at least 24 hours in advance. Make an appointment (unity login required).Students in the Raleigh area should make use of the local proctoring option. Students outside the Raleigh area should make use of the remote site proctoring option; the Proctoring Facility will assist you with the process of finding a suitable remote exam proctor.Back to Quick-Find TableWebassign homework: The webassign homework assignments will be posted with due dates at webassign, . Obtaining answers on webassign homework questions from other individuals or giving answers on a question to another student in the class are not allowed. However, student-to-student cooperation and communication is encouraged. For each assignment a forum will be set up on webassign where students can exchange comments and questions about the homework problems.There will be twelve 30-point assignments to complete during the semester. You will be allowed multiple attempts to correctly answer questions that are not true/false- or yes/no-type questions. Webassign provides you with immediate feedback when you submit an answer to a question. After its due date an answer can still be viewed along with its answer key but answers cannot be submitted. After logging on to webassign, the homework assignments can be accessed by clicking on the “My Classes” drop-down menu on the upper left side of the page and choosing ST 311 section 601 Fall 2019. Webassign homework will be open book and “open computer”. This is not a “cookbook” course where you must memorize mysterious formulas since this is not how you will apply the material to other courses or your profession. You are allowed to use any software (Excel, statcrunch, etc.), calculator, and statistical table when answering a webassign homework question. You do not have to complete an assignment in a single sitting; you are allowed to logout and complete the assignment at a later time prior to the due date.Back to Quick-Find TableMastery Points: “Mastery points” are the other homework component of the course in addition to the webassign homework. Mastery points are accessed at ST 311-601 Introduction to Statistics Fall 2019, our course content, multimedia learning aids and mastery points quizzes website (click on Mastery Points on the left side of the course content homepage).The due dates for earning mastery points in chapters 17-25 are posted with the webassign homework due dates shown below. You can earn mastery points for a particular chapter at any time prior to the due date shown for that chapter; after a chapter’s due date you cannot earn mastery points for that chapter. As you earn mastery points, your performance is automatically tracked at the ST 311-601 Introduction to Statistics Fall 2019 website in the MyLab Statistics grade book.You earn a mastery point by “mastering” a topic objective. You master a topic objective by scoring 80% or higher on a 5-question (or less) auto-generated quiz dealing with that topic.The 15 mastery points that count towards your grade must be earned from the quizzes related to the objectives listed at our course content website for chapters 17 – 25. For additional practice, you can also earn mastery points for chapters 1 – 16 but they will not be included in the calculation of the course grade.The auto-generated quizzes consist of fill-in-the-blank and multiple-choice questions. You are allowed to take an auto-generated quiz on a particular topic as many times as necessary to earn the mastery point for that topic. IMPORTANT: if you do not achieve 80% on the auto-generated quiz for a particular topic, before you can retake the quiz for that topic you must attempt at least 1 additional practice problem.Each of the chapters 17 – 25 has several topic objectives; in all there are 40 topic objectives in chapters 17 – 25. You can choose any 15 topic objectives from chapters 17 through 25 to master to earn your 15 mastery points.Each mastery point will contribute 10 points towards your course grade. Therefore you can earn as many as 150 points towards your final course grade by mastering 15 topic objectives of your choice from chapters 17 through 25. See How your course grade is determined.For each topic objective there are practice problems to assist you in mastering the topic objective material before taking the auto-generated quiz. The practice problems are an excellent learning tool since you receive immediate feedback on your answers. You are given three chances to answer a question correctly before your answer is graded as “incorrect”. If a question is graded as “incorrect”, you can choose “Similar exercise” to get another chance to answer a similar question correctly. You can repeat this process as often as you like until you correctly answer the question.Back to Quick-Find Table WEBASSIGN HOMEWORK AND MASTERY POINT DUE DATESThere will be twelve 30-point assignments during the semester with due dates shown below. Each assignment must be submitted by 11:59 pm on the due date. After its due date an assignment can still be viewed along with its answer key but answers cannot be submitted. Webassign at will be used to administer the assignments.Mark your calendars with the webassign homework and mastery points due dates. In addition, go to Notifications and follow the directions to receive email homework due date reminders from webassign.AssignmentSubmit No Later Than:Webassign homework 1Fri. Aug. 30, 2019Webassign homework 2Fri. Sept. 6, 2019Webassign homework 3Fri. Sept. 13, 2019Webassign homework 4 Fri. Sept. 20, 2019Exam 1 Mon. Sept. 23 – Mon. Sept. 30 at Delta Exam Proctoring Center (90-minute time limit)Webassign homework 5Sun. Oct. 6, 2019Webassign homework 6 and Chap. 17 Mastery PointsFri. Oct. 11, 2019Webassign homework 7 and Chaps. 18, 19 Mastery PointsFri. Oct. 18, 2019Webassign homework 8 and Chaps. 21, 22 Mastery PointsFri. Oct. 25, 2019Exam 2 Mon. Oct. 28 – Mon. Nov. 4 at Delta Exam Proctoring Center (90-minute time limit)Webassign homework 9 and Chaps. 20, 21 Mastery PointsFri. Nov. 8, 2019Webassign homework 10 and Chaps. 22, 23 Mastery PointsFri. Nov. 15, 2019Webassign homework 11 and Chap. 24 Mastery PointsFri. Nov. 22, 2019Webassign homework 12 and Chap. 25 Mastery PointsFri. Dec. 6, 2019Final Exam Mon. Dec. 9 – Mon. Dec. 16, 2019 at Delta Exam Proctoring Center (2-hour time limit).Each webassign homework covers material in the indicated chapters:Webassign homework 1: chapters 1, 2, 3Webassign homework 2: chapters 3, 4, 5Webassign homework 3: chapters 6, 7, 8Webassign homework 4: chapters 10, 11Webassign homework 5: chapters 13, 14Webassign homework 6: chapter 17Webassign homework 7: chapters 18, 19Webassign homework 8: chapters 21, 22.1-22.4Webassign homework 9: chapters 20, 21Webassign homework 10: chapters 22.5-22.6, 23Webassign homework 11: chapter 24Webassign homework 12: chapter 25Back to Quick-Find TableSEE NEXT PAGE FOR TOPIC COVERAGE AND TEXT CHAPTERSTO VIEW THE SYLLABUS (NCSU COMMON FORM) CLICK THE LINK OF THE SAME NAME IN THE LEFT PANEL OF OUR CLASS WEBPAGESyllabusText: Stats: Data and Models by Richard Deveaux, Paul Velleman, David Bock, 4th ed., 2016, PearsonST 311_601Introduction to Statistics"But where shall I begin?" asked Alice. "Begin at the beginning," the King said gravely, "and go on till you come to the end; then stop."Lewis Carroll, Alice's Adventures in WonderlandPART IExploring and Understanding DataCHAPTER 1Stats Starts HereCHAPTER 2Displaying and Describing Categorical DataCHAPTER 3Displaying and Summarizing Quantitative DataCHAPTER 4Understanding and Comparing DistributionsCHAPTER 5The Standard Deviation as a Ruler and the Normal ModelPART IIExploring Relationships Between VariablesCHAPTER 6Scatterplots, Association, and CorrelationCHAPTER 7Linear RegressionCHAPTER 8Regression WisdomCHAPTER 9Re-expressing Data: Get It Straight!PART IIIGathering DataCHAPTER 10Understanding RandomnessCHAPTER 11Sample SurveysCHAPTER 12Experiments and Observational StudiesPART IVRandomness and ProbabilityCHAPTER 13From Randomness to ProbabilityCHAPTER 14Probability Rules!CHAPTER 15Random VariablesCHAPTER 16Probability ModelsPART VFrom the Data at Hand to the World at LargeCHAPTER 17Sampling Distribution ModelsCHAPTER 18Confidence Intervals for ProportionsCHAPTER 19Testing Hypotheses about ProportionsCHAPTER 20Inferences About MeansCHAPTER 21 More About Tests and IntervalsPART VIAccessing Associations Between VariablesCHAPTER 22Comparing GroupsCHAPTER 23Paired Samples and BlocksCHAPTER 24Comparing CountsCHAPTER 25Inferences for RegressionPART VIIInference When Variables Are RelatedCHAPTER 26Analysis of VarianceCHAPTER 27Multifactor Analysis of VarianceCHAPTER 28Multiple RegressionBack to Quick-Find Table ................
................

In order to avoid copyright disputes, this page is only a partial summary.

Google Online Preview   Download