Math 010 - Spring 2010 - Spring Syllabus

Math A160 Introduction To Statistics Intersession 2017

Section Information (CRN: #34677 @ MTWRF 9:00am - 1:00pm – Room: Mathematics LCT 1)

Instructor: Timothy J. Cooley Phone: 432-0202 ext: 25966 Office: Math, Business, and Computing Center – Room: MBCC 141 Office Hours: To be arranged by appointment E-mail: [email protected] ; Website: http://www.topcatmath.com

Prerequisite: Math 030 with a grade of 'C' or better or qualifying OCC mathematics placement score.

Text Required: Introductory Statistics 10 th edition by Neil A. Weiss (ISBN-13: 9780321989178), (ISBN-10: 0321989171)

Course Description: A general education course covering descriptive statistics, probability, binomial and normal distributions, variation, linear regression, correlation and hypothesis testing. Applications taken from natural sciences, social sciences, business, and everyday life. Students completing Mathematics 160 may petition for credit for Psychology 160. Grades may be taken for on a credit-no credit basis.

Student Learning Outcomes The student will be able to: 1. Illustrate statistical concepts using graphical, numerical and written explanations. 2. Apply valid statistical methods to appropriate applications. 3. Explore, discover, make conjectures and formulate conclusions in statistics-based applications.

Course Outline

Required Supplies  Textbook or an online copy (Purchasing a MyMathLab Access Code is optional)  Six Parscore Scantron forms for classes in Math Lecture Halls only (Form: F-289-PAR-L - Red color)  Student Picture ID (ID# is required for scantrons, and student picture ID must be present for examinations)  A standard scientific NON-GRAPHING calculator will be required for all exams.  A TI-83+ or a TI-84+ calculator is highly recommended, yet not required. There will be several handouts to help you with these two particular calculators in general. You may also use a TI-89 or a TI-nspire or any other graphing calculator not mentioned; however, you are responsible in learning how to perform the operations on your own. Any of these graphing calculators will be allowed on Exams #2, #4, #5, as well as the final. Exchanging of any calculators will not be allowed during exams/quizzes, when calculators are needed. SMART PHONE / CELL PHONE CALCULATORS MAY NOT BE USED ON EXAMS/QUIZZES.

Attendance According to the 2016-2017 catalog: Please note that students who miss the first meeting of a class or who have too many absences MAY be dropped by the instructor at any time during the semester until the final deadline for withdrawal. However, it is the responsibility of the student to withdraw in order to meet all fee and withdrawal deadlines and to avoid grade penalties.

To be successful in this or any mathematics course, it is imperative that you arrive on time, attend every class, and stay for the entire class meeting. State law requires an accurate attendance record in order for the college to receive funding. Two absences is equivalent to missing at least 10% of the class. In accordance to school policy, you may be dropped when you receive the second absence. Three tardies as well as leaving early three times is equivalent to one absence. In the event that you must be absent, you may need the name(s) and phone number(s) and/or email(s) of one or more people in the class in order to obtain a copy of missed lecture notes. Math A160 Introduction To Statistics Intersession 2017

Homework Transfer of knowledge doesn't occur by listening to a lecture or watching a teacher work problems. Authentic, active learning means acquiring new knowledge, internalizing it, and critically and creatively applying it through trial-and- error activities and using your own ideas. The more time spent on authentic learning, the more confident and comfortable you will become with the material. Do not routinely apply formulas or mechanically work from examples. Make it a habit to ask yourself “Why?” for every step of every problem you work. It’s quality, not quantity that helps you learn the material and be successful on exams. There will be a total of 49 homework assignments across 6 homework packets. Homework will be due on the day of each exam. Only selected names at random will be required to turn in homework packet that day. Eventually, all students will turn in exactly two homework packets sometime throughout the semester. Each homework packet will be worth 30 points for a total of 60 points for the semester. Again, homework packets will be collected on the days of each exam.

Here is the rubric on the grading for a single section homework assignment that is worth 2 or 3 points each. Maximum points – Everything is perfect. 1 or 2 less points – Any part of any section is missing or incomplete. 2 or 3 less points – Poor quality, sloppy, or majority of problems are missing.

Guidelines on Homework

In order to receive any possible points for homework, each student must follow every one of the following guidelines below. Failure to do so will result in a score of zero.

1) No torn edges.

2) Homework must be stapled neatly in the upper left hand corner in the margin.

3) Pencil only. Homework completed in ink pen will not be accepted.

4) The assignment must also be written and highlighted on the top of the page.

5) On the top of the first sheet, in the upper margin, on the right hand side, a heading must appear.

6) Start each section on a new page. It is okay to write on both sides of the paper. For each homework problem, write it as it originally appears. However, with word problems, especially long paragraphs, you only need to copy down the pertinent information. The idea is to write out enough information so that you can study directly from your homework. In order to receive full credit you must show all your work. Please include all steps necessary to reach the final solution (use my board-work in class as an example to follow). If it appears that you have simply just written the solutions in the back of the book, you will receive no credit for the entire packet. All written work must be neat and legible. The margins should be kept clear and all work should be clearly shown and labeled.

Here is an example of how an assignment should look:

Your Name Math 160 – Cooley April 21st, 2017 Homework # 7 Sec. 3.1 – page 101; 9-41 odd For problems 1 thru 19, calculate the mean for each data set 1) 3, 8, 7, 6, 11

x 3 + 8 + 7 + 6 + 11 35 i x = = = = 7 n 5 5 Math A160 Introduction To Statistics Intersession 2017

Technology & Projects More on this will be discussed sometime later throughout the course.

Quizzes There will be a total of 3 quizzes throughout the semester each worth 20, 10, and 10 points respectively points, for a total of 40 points. Each quiz must be taken on or before the dates indicated. No make-up quizzes will be given after the quiz is administered in class. If you miss a quiz, you will receive a score of 0 for that quiz. The tentative dates for the quizzes are as followed:

Quiz 1 – Chapters 2.3 & 3.2 (Scientific Calculator Only) – Thursday, January 5th, 2017 Quiz 2 – Chapter 6.2 (Scientific Calculator Only) – Thursday, January 12th, 2017 Quiz 3 – Chapters 9.4 (Scientific Calculator Only) – Thursday, January 19th, 2017

Exams & Exam Policy There will be a total of 5 exams throughout the semester each worth 100 points. Exams must be taken on or before the dates indicated. No make-up exams will be given after the exam is administered in class. If you miss an exam, you will receive a score of 0 for that exam. The tentative dates for the exams are as followed:

Exam 1 – Chapters 1.1–1.2, 2.1–2.4, 3.1–3.2, 3.4–3.5 (Scientific Calculator Only) – Friday, January 6th, 2017 Exam 2 – Chapters 4.1–4.5, 4.8, 5.1–5.4 – Wednesday, January 11th, 2017 Exam 3 – Chapters 6.1–6.4, 7.1–7.3 (Scientific Calculator Only) – Tuesday, January 17th, 2017 Exam 4 – Chapters 8.1–8.3, 9.1–9.5 – Monday, January 23rd, 2017 Exam 5 – Chapters 10.1–10.3, 12.1–12.3, 13.1–13.2, 14.1–14.2, 14.4 – Wednesday, January 25th, 2017

Final Exam The final exam is comprehensive and will be held on at for CRN: #34677 @ MTWRF 9:00am - 11:00am on Friday, January 27th, 2017 Failure to attend this exam will result in a grade of an “F”.

Additional Help The instructor has primary responsibility in this course for explaining the material, answering your questions, administering quizzes and exams, and grading homework, quizzes, and exams. For additional help when the instructor is not available, all Orange Coast College mathematics students can get tutorial help in:

 Student Success Center (located in C&L - Classrooms & Labs - 103) Walk-in tutoring is available at the tutoring counter for quick questions for all students enrolled in any math course at the college. Appointments for weekly one-on-one tutoring may also be made for any students enrolled in Math 005, Math 008, or Math 010 only. Location is southwest of the bookstore. For more information call (714) 432-5559

Course Breakdown and Grade Distribution The course breakdown and grade distribution is as followed:

SUBJECTS POSSIBLE POINTS PERCENT GRADE HOMEWORK 60 POINTS 89.5% or higher A PROJECTS (2) 30 POINTS 79.5% to 89.4% B QUIZZES (3) 40 POINTS 64.5% to 79.4% C EXAMS (5) 500 POINTS 59.5% to 64.4% D FINAL EXAM 120 POINTS 59.4% or lower F TOTALS 750 POINTS Math A160 Introduction To Statistics Intersession 2017

Academic Honesty Policy Orange Coast College has the responsibility to ensure that grades assigned are indicative of the knowledge and skill level of each student. Acts of academic dishonesty make it impossible to fulfill this responsibility and weaken our society. Faculty have a responsibility to ensure that academic honesty is maintained in their classroom. Students share that responsibility and are expected to refrain from all acts of academic dishonesty. Procedures for dealing with any violation of academic honesty will be followed. Additionally, the Academic Honesty Policy shall be applied to incidents of academic dishonesty. There is absolutely NO tolerance for cheating in this class. A disciplinary "F" grade may be assigned for violation of the Academic Honesty Policy, consistent with the District Student Code of Conduct.

Academic dishonesty includes, but is not limited to the following:

 Obtaining information from another student during an examination.  Communicating information to another student during an examination.  Knowingly allowing another student to copy one's own work.  Offering another person's work as one's own.  Taking an examination for another student or having someone take an examination for one's self.  Using unauthorized material during an examination.  Altering a graded examination or assignment and returning it for additional credit.  Cell phone visibility and/or use during examinations.

Accommodations for Disabled Students Orange Coast College is eager to reasonably accommodate students with disabilities. It is the responsibility of the student to inform the instructor of any special needs in a timely manner.

Working Students Working students should remember that taking 15 units of college coursework requires about the same amount of time as working 40 hours a week; therefore, full-time students should work no more than 20 hours a week. Students may contact the Financial Aid Office or call (714) 432-5165 to determine their eligibility for financial assistance. No student should expect any instructor to lower course standards to accommodate them for not doing required coursework due to work employment.

Cell Phones It is the policy of the Mathematics & Engineering Department that all electronic devices, including cell phones, must be turned off or in silent mode in the classrooms. It is very disruptive and very disrespectful towards others, including the teachers. If the instructor sees a cell phone out during any exam, the instructor will assume that the student is cheating and the exam will be taken immediately and a grade of a zero will be received on that exam.

Withdrawal Deadlines & Policy It is always the student's responsibility to officially drop classes through MyOCC or the Enrollment Center if he/she wishes to drop a class. Although instructors may drop a student for excessive absences, it is NOT the instructor's responsibility. Students who never attend a class or stop attending a class at any time, MUST officially drop themselves, according to stated deadlines. It is also the student's responsibility to verify their withdrawal from a class by the stated deadlines to avoid a "W" and/or a grade in the class.

Last date to drop and receive a refund: January 4th, 2017 (Day #2). Last date to drop and NOT receive a ‘W’ grade is January 6th, 2017 (Day #4). Last date to drop a full semester class with a ‘W’ grade is January 23rd, 2017 (Day #14). Math A160 Introduction To Statistics Intersession 2017

Tentative Schedule – Math 160 – Daily, Monday thru Friday Week Monday Tuesday Wednesday Thursday Friday Jan. 3 Jan. 4 Jan. 5 Jan. 6 1 Intro,1.1,1.2. 3.1, 3.2, 3.4, 3.5 4.1, 4.2, 4.3, 4.4, Exam # 1, 2.1, 2.2, 2.3, 2.4 Quiz #1 4.5, 4.8 Jan. 9 Jan. 10 Jan. 11 Jan. 12 Jan. 13 2 5.1, 5.2, 5.3, 5.4 6.1, 6.2, 6.3, 6.4 Exam # 2, 7.3, 8.1, 8.2, 8.3, 9.1 7.1, 7.2 Quiz #2 Jan. 16 Jan. 17 Jan. 18 Jan. 19 Jan. 20 3 ** No Class ** Exam # 3, 9.4, 9.5 10.1, 10.2, 10.3 12.3, 13.1, 13.2 ** MLK Holiday ** 9.2, 9.3 Quiz #3 Jan. 23 Jan. 24 Jan. 25 Jan. 26 Jan. 27 4 Exam # 4 14.1, 14.2, 14.4 Exam # 5 16.1, 16.2, 16.3 Final Exam 12.1, 12.2 Math A160 Introduction To Statistics Intersession 2017

Homework Problems for 10 th Edition

Chapter 6.2 59–81 odd Chapter 6.3 89–107 odd HOMEWORK #1 – Due on the day of Exam #1 Chapter 6.4 127–133 odd

Chapter 1 – The Nature of Statistics Chapter 7 – The Sampling Distribution of the Chapter 1.1 7–21 odd (7 is 1.7, 9 is 1.9, etc.) Sample Mean Chapter 1.2 37, 39a, 43–47 odd, 49a, 51a Chapter 7.1 11–15 all, 17 Chapter 7.2 41–45 all, 47–51 odd Chapter 2 – Organizing Data Chapter 7.3 61–77 odd, 78, 79 Chapter 2.1 7–15 odd Chapter 2.2 27–37 odd Chapter 2.3 55–101 odd Chapter 2.4 133–149 odd HOMEWORK #4 – Due on the day of Exam #4 Chapter 3 – Descriptive Measures Chapter 3.1 9–41 odd Chapter 8 – Confidence Intervals for One Chapter 3.2 65–81 odd Population Mean Chapter 3.4 159–177 odd Chapter 8.1 11–15 odd, 17 Chapter 3.5 201–217 odd Chapter 8.2 49, 51, 63–73 odd, 75a, 77ab, 87, 89 HOMEWORK #2 – Due on the day of Exam Chapter 8.3 115–119 odd, 123–133 odd #2 Chapter 9 – Hypothesis Tests for One Chapter 4 – Probability Concepts Population Mean Chapter 4.1 13–27 odd, 31 Chapter 9.1 5–29 odd Chapter 4.2 53–69 odd Chapter 9.2 35–46 all Chapter 4.3 79–86 all, 87–97 odd Chapter 9.3 55–67 odd Chapter 4.4 107–115 odd Chapter 9.4 77–87 odd Chapter 4.5 131–145 odd Chapter 9.5 101–117 odd Chapter 4.8 237, 239, 249–259 odd, 266, 267

HOMEWORK #5 – Due on the day of Exam Chapter 5 – Discrete Random Variables #5 Chapter 5.1 7–15 odd Chapter 5.2 31ab–37ab odd, 41 Chapter 10 – Inferences for Two Population Chapter 5.3 59, 61, 77abcdefi, 79ab, 81abcd Means Chapter 5.4 97, 99, 101abcd, 103, 107, 109 Chapter 10.1 5–21 odd Chapter 10.2 39–49 odd HOMEWORK #3 – Due on the day of Exam Chapter 10.3 67–83 odd #3 Chapter 12 – Inferences for Population Chapter 6 – The Normal Distribution Proportion Chapter 6.1 4–13 all, 23, 24, 27 Chapter 12.1 25–53 odd Math A160 Introduction To Statistics Intersession 2017

Chapter 12.2 79–93 odd Chapter 14.2 49–63 odd Chapter 12.3 101–115 odd Chapter 14.4 128–130 all, 135–151 odd

Chapter 13 – Chi-Square Procedures HOMEWORK #6 – Will be covered on final Chapter 13.1 5–8 all Chapter 13.2 25–31 odd Chapter 16 – Analysis of Variance Chapter 16.1 5–9 odd Chapter 14 – Descriptive Methods in Chapter 16.2 24–29 all Regression and Correlation Chapter 16.3 39–51 odd Chapter 14.1 5–21 odd