Math 010 - Spring 2010 - Spring Syllabus s1

Math A160 Introduction To Statistics Fall 2017

Section Information (CRN: #21531 @ TTh 8:55am - 11:00am – Room: Mathematics LCT 1)

Instructor: Timothy J. Cooley Phone: 432-0202 ext: 25966 Office: Math, Business, and Computing Center – Room: MBCC 141 Office Hours: M 11:00am-12:00pm; W 11:15am-11:45am; TTh 11:30am–12:45pm 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 (Traditional hard copy textbook or online version/e-text)

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  Traditional hard copy textbook or an online/e-text (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 calculator at the least will be needed for all exams. A TI-36X Pro will be suffice, but it will be limited in its ability. However, a graphing calculator TI-83+ or a TI-84+ calculator is highly recommended, yet not required. There will be several handouts and websites to assist 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 calculators will be allowed on all exams, 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 ANY EXAMS/QUIZZES.

Attendance According to the 2017-2018 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 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. Four absences is equivalent to missing at least 10% of the class. In accordance to school policy, you may be dropped when you receive the fourth absence. Three tardies as well as leaving early three times is equivalent to one absence. If 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 to obtain a copy of missed lecture notes. Math A160 Introduction To Statistics Fall 2017

Homework Transfer of knowledge doesn't occur by listening to a lecture or watching a teacher work out 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 of the five exams. Only one section from the homework packet will be required to turn in that day. That section will be announced the day of each exam taken. That particular homework section will be worth 10 points each for a total of 50 points for the semester. (The 6 th homework packet will not be collected). Again, homework will be due on the days of each exam and will not be accepted after the exam is taken.

Guidelines on Homework In order to receive any possible points for homework, each student must follow each and every one of the following guidelines:

1) On the top of the first sheet, in the upper margin, on the right hand side, a heading must appear with your name, name of class, days and time of class, and date. ( –1 point otherwise)

2) The assignment must also be written and highlighted on the top of the page. ( –1 point otherwise)

3) No torn edges. ( –1 point if there are torn edges)

4) Homework must be stapled neatly in the upper left hand corner in the margin. ( –1 point if homework is not stapled)

5) Pencil only. ( –1 point if homework is completed in pen)

6) Start each section on a new page. Each section needs to be separate from all other sections. Thus, each section has its own staple. It is okay to write on both sides of the paper. For each homework problem, write it as it originally appears. However, with directions and 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. If it appears that you have simply just written the solutions in the back of the book, you will receive no credit for that particular assignment. 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 July 7th, 2017 Sec. 3.1 – page 101; 9-41 odd Homework # 13 For problems 1 thru 19, calculate the mean for each set of data 1) 3, 8, 7, 6, 11

x 3+ 8 + 7 + 6 + 11 35 x =i = = = 7 n 5 5

Grading Rubric on Homework Here is the rubric on the grading for a single section homework assignment that will be worth 10 points: Maximum points: Everything is perfect. 1 less point each: IF ONE OR MORE OF THE ABOVE GUIDELINES ARE NOT FOLLOWED! 1–5 less point(s): Any part of the homework section is missing or incomplete. 5–10 less points: Poor quality, sloppy, or majority of problems are missing; answers are written with no work shown. Math A160 Introduction To Statistics Fall 2017

Projects There will be two projects worth 20 points each. Information pertaining to each of these projects will be discussed later on throughout the course as indicated on the tentative schedule.

Quizzes There will be a total of 5 quizzes throughout the semester each worth 8 points each for a total of 40 points. However, each quiz has the opportunity of earning up to 10 points each, for a total of 50 points. No make-up quizzes will be given after the quiz is administered in class. Each quiz must be taken on the dates indicated. If you miss a quiz, you will receive a score of 0 for that quiz, thus you could still earn the maximum of 40 points, if all other quizzes are taken with a score of 10 points each.

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 – Tuesday, September 19th, 2017 Exam 2 – Chapters 4.1–4.5, 4.8, 5.1–5.4 – Tuesday, October 10th, 2017 Exam 3 – Chapters 6.1–6.4, 7.1–7.3 – Tuesday, October 31st, 2017 Exam 4 – Chapters 8.1–8.3, 9.1–9.5 – Tuesday, November 21st, 2017 Exam 5 – Chapters 10.1–10.3, 12.1–12.3, 13.1–13.2, 14.1–14.2, 14.4, 16.1 – Thursday, December 7th, 2017

Final Exam The final exam is comprehensive and will be held on at for CRN: #21531 @ TTh 8:55am - 11:00am – Thursday, December 14th, 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 (5) 50 POINTS 89.5% or higher A PROJECTS (2) 40 POINTS 79.5% to 89.4% B QUIZZES (5) 40 POINTS 69.5% to 79.4% C EXAMS (5) 500 POINTS 59.5% to 69.4% D FINAL EXAM 120 POINTS 59.4% or lower F TOTALS 750 POINTS Math A160 Introduction To Statistics Fall 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 and/or communicating information to/from another student during an examination.  Knowingly allowing another student to copy one's own work and/or 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.  Altering a graded examination or assignment and returning it for additional credit.  Plagiarism: Representing ideas, works, or a creative product of another person as your own.  Using unauthorized material or electronic devices during an examination.  Cell phone, smart phone, smart watch visibility and/or use during examinations.

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.

State Prohibition of Recording using Audio/Video in Classrooms It is a violation of Board Policy and Education Code to record audio/video in class without the permission of the instructor (District Student Code of Conduct (BP/AP 5500) & Education Code 78907). Students are not authorized to record audio/video during the class using any electronic or phone devices. If such recordings are noticed, students will be asked to leave the class. Subsequently, students who violate this policy will be referred to the Dean of Students for appropriate follow up and possible discipline.

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. No student should expect any instructor to lower course standards to accommodate them for not doing required coursework due to work employment.

Withdrawal Deadlines & Policy It is the responsibility of the student to withdraw in order to meet all fee/refund deadlines and it is also the responsibility of the student to withdraw by state mandated deadlines to avoid grade penalties. This can only be done 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. All no-shows on the first day will be dropped to accommodate any students on the waitlist.

Last date to drop and receive a refund: September 9th, 2017 (End of Week #2). Last date to drop and NOT receive a ‘W’ grade is September 10th, 2017 (End of Week #2). Last date to drop a full semester class with a ‘W’ grade is November 18th, 2017 (End of Week #12). Math A160 Introduction To Statistics Fall 2017

Tentative Schedule – Math A160 – Tuesday/Thursday Week Tuesday Thursday Aug. 29 Aug. 31 1 Introduction , 1.1 1.2 , 2.1 Sep. 5 Sep. 7 2 2.2 , 2.3 2.4 , 3.1 Sep. 12 Sep. 14 3 3.2 , 3.4 3.5 , 4.1 , 4.2 Quiz #1 – Freq. Dist. & Hist. Sep. 19 Sep. 21 4 Exam # 1 4.3 , 4.4 , 4.5 Quiz #2 – Standard Deviation Sep. 26 Sep. 28 5 4.8 , 5.1 5.2 , 5.3 , 5.4 Oct. 3 Oct. 5 6 5.4 , 6.1 6.2 Quiz #3 – Binomial Dist. Oct. 10 Oct. 12 7 Exam # 2 6.2 , 6.3 Oct. 17 Oct. 19 8 6.4 , 7.1, 7.2 7.3 , Project #1 Discussion Quiz #4 – Normal Dist MID-SEMESTER Oct. 24 Oct. 26 9 8.1 , 8.2 8.3 , 9.1 Oct. 31 Nov. 2 10 Exam # 3 9.2 , 9.4 Nov. 7 Nov. 9 11 9.3 , 9.4 9.5 Project #1 Due Quiz #5 – Hypothesis Test Nov. 14 Nov. 16 12 10.1 , 10.2 , 10.3 13.1, 13.2 , Project #2 Discussion Nov. 21 Nov. 23 13 Exam # 4 ** No Class ** ** Thanksgiving Recess ** Nov. 28 Nov. 30 14 12.1 , 12.2 12.3 , 14.1 Dec. 5 Dec. 7 15 14.2 , 14.4 , 16.1 Exam # 5 Dec. 12 Dec. 14 16 16.2 , 16.3 , Review for final Final Exam Project #2 Due Math A160 Introduction To Statistics Fall 2017

Homework Problems for 10 th Edition

Chapter 6.1 4–13 all, 23, 24, 27 HOMEWORK #1 – Due on the day of Exam Chapter 6.2 59–81 odd #1 Chapter 6.3 89–107 odd (A random section from these 10 will be collected that day) Chapter 6.4 127–133 odd

Chapter 1 – The Nature of Statistics Chapter 7 – The Sampling Distribution of Chapter 1.1 7–21 odd (7 is 1.7, 9 is 1.9, etc.) the Chapter 1.2 37, 39a, 43–47 odd, 49a, 51a Sample Mean Chapter 7.1 11–15 all, 17 Chapter 2 – Organizing Data Chapter 7.2 41–45 all, 47–51 odd Chapter 2.1 7–15 odd Chapter 7.3 61–77 odd, 78, 79 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 Chapter 3 – Descriptive Measures #4 Chapter 3.1 9–41 odd (A random section from these 8 will be collected that day) Chapter 3.2 65–81 odd Chapter 3.4 159–177 odd Chapter 8 – Confidence Intervals for One Chapter 3.5 201–217 odd Population Mean Chapter 8.1 11–15 odd, 17 Chapter 8.2 49, 51, 63–73 odd, 75a, 77ab, HOMEWORK #2 – Due on the day of Exam 87,89 #2 Chapter 8.3 115–119 odd, 123–133 odd (A random section from these 10 will be collected that day) 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 101a, 103a, 105a, 107–117 odd Chapter 4.8 237, 239, 249–259 odd, 266, 267

Chapter 5 – Discrete Random Variables HOMEWORK #5 – Due on the day of Exam Chapter 5.1 7–15 odd #5 Chapter 5.2 31ab–37ab odd, 41 (A random section from these 11 will be collected that day) Chapter 5.3 59, 61, 77abcdefi, 79ab, 81abcd Chapter 10 – Inferences for Two Population Chapter 5.4 97, 99, 101abcd, 103, 107, 109 Means Chapter 10.1 13–21 odd, 25–29 odd HOMEWORK #3 – Due on the day of Exam Chapter 10.2 39–49 odd #3 Chapter 10.3 67–83 odd (A random section from these 7 will be collected that day) Chapter 12 – Inferences for Population Chapter 6 – The Normal Distribution Math A160 Introduction To Statistics Fall 2017

Proportion Chapter 14.4 128–130 all, 135–151 odd Chapter 12.1 25–53 odd Chapter 12.2 79–93 odd Chapter 16 – Analysis of Variance Chapter 12.3 101–115 odd Chapter 16.1 5–9 odd

Chapter 13 – Chi-Square Procedures HOMEWORK #6 – Will be covered on final Chapter 13.1 5–8 all (Assigned, but not collected) Chapter 13.2 25–31 odd Chapter 16 – Analysis of Variance 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 Chapter 14.2 49–63 odd