Instructor: Matthew Wickes Kilgore Office: ES 310

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1 MATH 1342 Elementary Statistical Methods Syllabus Instructor: Matthew Wickes Kilgore Office: ES 310 Longview Office: LN 205C Phone: Text: Elementary Statistics Using the Graphing Calculator: For the TI-83/84 Plus (4th Edition) by Mario F. Triola, Pearson Addison-Wesley Publishers. The text is optional for this course. You will have access to the text through MyStatLab, therefore, you do not need to buy the printed text unless you choose to do so. My Stat Lab: You will need an access code for the website. It is included if you purchase a new text book. If your text book is used you will need to purchase an access code separately unless you are using the same book from the previous semester. You may do so at the KC Bookstore or at Calculators: An appropriate is required for this course. Appropriate calculators include the TI 83 and TI 84. The TI 89 calculator is NOT permitted. If a student uses any other calculator other than a TI 83 or TI 84 it is his or her responsibility to learn how to use it appropriately. The calculator that will be used in class lecture will be the TI 84. Students are required to bring their calculators to class in order to fully participate when demonstrations are being done. A cell phone is not a calculator, it is a cell phone. Paper Format: The following format must be observed for any written work unless deemed otherwise. This includes any homework, quizzes, and exams. a. All papers are to be done in pencil only. NO PENS. b. All work should be written out in a neat and organized manner. Work must be shown in order to receive credit. c. Clearly indicate your answers with a circle. Grading System: Each student s grade will be based on an exams, homework score, and a comprehensive final exam. The weights of each component are given below. Graded Component Weighted Percentage Online Homework Average 15% Exam 1 20% Exam 2 20% Exam 3 20% Final Exam 25% Exams: There will be three or four major exams this semester. You must be present for every exam. Re-Take Exams: There is no such thing as a Re-Take or Re-do Exam. This is college, what you make on your exam is your grade for the exam. Please do not ask Can I retake the exam for a better grade? or May I correct my exam mistakes to improve my grade? The answer is no. Final Exam: The final exam will be comprehensive and you will need a blue book, a scantron and a pencil. Homework Score: All students are required to register for My Math Lab for the online component of this course. Homework will primarily be assigned online although there may be an occasional written homework assignment will be assigned. All homework for a given chapter(s) will be due the night before the exam. Lack of

2 preparedness on your part does not constitute and emergency on my part. Any section of homework that is not done by the due date results in a 0. Attendance: It is the policy of Kilgore College to require attendance. I will call roll every day of class. If a student is not present at the time roll is called he or she will be marked absent. If a student shows up late to class it is his or her responsibility to notify the instructor that he or she was present. Six hours absence from class is considered excessive and after such absences a student WILL be dropped from the class. In case of absence it is the sole responsibility of the student to find out what was covered and make any necessary arrangements. Cell Phones: Cell phones are prohibited from being used in class. Using a cell phone in class for any purpose may cause the student to be dismissed from class for the day or invoke a penalty on the student s next exam. Cheating: Cheating includes, but is not limited to: plagiarism; dishonesty of any kind with respect to examinations or written assignments (in or out of class); alteration of records; and illegal possession of examinations. Any student caught cheating, aiding another student in cheating, or appropriating the words or work of others without proper citation will be subject to academic discipline. It is the responsibility of the student not only to abstain from cheating, but in addition, to avoid the appearance of cheating, and to guard against making it possible for others to cheat. Penalties are given at the discretion of the instructor and range from dismissal from the course to receiving non-replaceable zeros for that assignment/quiz/exam. Drops: The student is personally responsible for dropping any class. While instructors may drop students for excessive absences, the ultimate responsibility for withdrawing is on the student. However, if a student has had excessive absences (over 6 classroom hours or 10 lecture/lab hours) and he or she has not been in frequent contact with the instructor regarding attendance, he or she will almost surely be dropped from the course. Once a student is dropped he or she will no longer be allowed to attend class. Students are encouraged to consult the instructor before dropping, but it is not necessary. Students should go to the Registrar s Office to drop classes. FAILURE TO OFFICIALLY WITHDRAW BY THIS DEADLINE WILL RESULT IN A GRADE OF F FOR THE SEMESTER. Commitment/ Expectations: Students are expected to display a high level of professionalism in my classroom. It is my job to, not only teach you the material in this course, but also prepare you for success in the workplace. I strive to be consistent in every aspect of my teaching and create an atmosphere conducive to learning. You are expected to come to class, listen, participate, take notes, study, do homework and thoroughly prepare for exams. It is my job to provide the tools necessary for you to become successful; it is your job to put these tools to good use. Students must make a commitment in class to take notes and work the given examples. Practice and reinforcement is an essential part of learning and for this reason students must especially make a commitment to do homework outside of class. Students must also make a commitment to seek help when the material is not fully understood. Etiquette / Discipline Policy: Students will exercise appropriate classroom behavior at all times. Inappropriate and/or disruptive behavior will not be tolerated and may result in dismissal from the classroom. If such behavior continues, a student may be dropped from the class. Students will be expected to observe the following 1. Be on time. 2. Stay until class is dismissed. 3. Get a drink of water, use the restroom, and sharpen pencils before class, not during. 4. Turn off cell phones and pagers. 5. Be attentive to the subject being presented. Do not sleep, study for other classes, or carry on personal conversations during class. 6. Remain silent while your instructor or fellow classmate is speaking. 7. Come prepared for class. Bring your notes, pencil, paper, and calculator to class. 8. Exercise academic honesty. Cheating will not be tolerated.

3 9. Allowing other students to ask questions and allowing the instructor to answer them, not another student. Treat your instructor and fellow classmates with respect. Foul language will not be permitted. Inappropriate and or disruptive behavior will not be tolerated in the classroom. Should such actions occur, the instructor will first warn the student. If such behavior continues the student may be dismissed from class. If such behavior still continues, the student may be dropped from the course. Note: All items in the syllabus are subject to change and the students will be notified if such changes are made. Student Accountability and Effort Students will demonstrate an effort to learn the objectives of the course by a. attending class regularly and on time, b. doing homework or in-class assignments on time (see instructor s syllabus for their policy regarding homework) c. following the directions of the instructor, and d. maintaining classroom behavior conducive to learning. Failure to demonstrate an effort in the course may result in the student being dismissed from the course.

4 MATH 1342 Elementary Statistical Methods Departmental Syllabus Catalog Description MATH Introduction to Probability and Statistics. (3-3-0) This course is a study of collection, analysis, presentation and interpretation of data, and probability. Analysis includes descriptive statistics, correlation and regression, confidence intervals and hypothesis testing. Prerequisites: TSI complete. An instructor-approved will be required. F, Sp, Su ( ). Textbook and Resources Elementary Statistics Using the Graphing Calculator: For the TI-83/84 Plus (4th Edition) by Mario F. Triola, Pearson Addison-Wesley Publishers. An access code to My Math Lab web-site is required. Course Intent This course is intended for students majoring in any field who need an introduction to probability and statistics. It is appropriate for majors in psychology, sociology, fine arts, business, nursing, computer science, agriculture, health, and many others. Scope of the Course Unit 1: Introduction to statistics including summarizing, graphing, exploring and comparing data. Unit 2: Probability and discrete probability distributions. Unit 3: Normal probability distributions. Unit 4: Estimates and sample sizes. Unit 5: Hypothesis testing. Student Learning Outcomes The successful student in this course will be able to: 1. differentiate between statistical terms. 2. identify and define the levels of measurement, type of data, and method of sampling. 3. compile and summarize data by constructing tables and graphs. 4. calculate and interpret measures of central tendency (mean, median, mode, midrange) and variation (standard deviation, variance, range). 5. analyze individual scores by using z-scores, quartiles, deciles, or percentiles. 6. compare and contrast the spread of data, the center of data, and the range of values. 7. interpret probability theory and perform calculations using the fundamental counting rule, factorial rule, permutations, and combinations. 8. analyze different types of probability distributions and perform calculations including expected value, mean, variance, and standard deviation. 9. identify an experiment to be binomial and solve statistical calculations including probabilities, mean, variance, and standard deviation. 10. appraise inferential statistics using correlation and regression, evaluate population parameters, and test hypotheses made about population parameters. 11. utilize TI-83/84 and large data sets to calculate statistical data and compare to written formulas and calculations.

5 Learning Activities and Assessment Students will attend and participate in lectures and group work, do homework on paper, do on-line activities (homework and/or quizzes), and do homework activities from an activities manual. Student outcomes will be assessed by a combination of some or all of the following: homework grades, quiz grades, major exam grades, and a comprehensive final exam. See instructor s syllabus for specific activities and assessments. Throughout the semester the following Core Curriculum Objectives will be addressed: 1. Critical Thinking Skills which may include creative thinking, innovation, inquiry, and analysis, evaluation and synthesis of information. 2. Communication Skills which may include effective development, interpretation and expression of ideas through written and visual communication. 3. Empirical and Quantitative Skills which may include the manipulation and analysis of numerical data or observable facts/data resulting in informed conclusions. ADA Statement Kilgore College is committed to making reasonable accommodations to assist individuals with disabilities in reaching their academic potential. If you choose to request accommodations for a documented disability which may impact your performance, attendance, or grades in this course, you must first register with the Office of Disability Services. Please note that classroom accommodations cannot be provided prior to your instructor s receipt of an accommodation letter from the Office of Disability Services. For more information about accommodations, please contact the Disability Services Office on the second floor of the Devall Student Center: (903)

6 Course Schedule Week Content Materials Assignment 1 Syllabus, types of data, sampling techniques, Ch. 1 Notes packet, textbook, Online Homework Chapter 1 critical thinking, calculator introduction 2 Frequency tables, relative frequency tables, Ch. 2 Notes packet, textbook, Online Homework Chapter 2 histograms, statistical graphs 3 Measures of center, dispersion, z scores Ch.3 Notes packet, textbook, Online Homework Chapter 3 4 Measures of relative standing, empirical rule, boxplots Ch.3 Notes packet, textbook, Exam Chapters 1-3 Online Homework Chapter 3 5 Counting Rules, Permutations, Combinations, Ch.4 Notes packet, textbook, Online Homework Chapter 4 Probability, Unions, Intersections 6 Complements, Conditional Probability Ch.4 Notes packet, textbook, Online Homework Chapter 4 7 Random Variables, Probability Distributions Ch.5 Notes packet, textbook, Exam Chapter 4 Online Homework Chapter 5 8 Expectation, Binomial Distribution, Parameter of Ch.5 Notes packet, textbook, Online Homework Chapter 5 Binomial Distribution 9 Poisson Distribution, Parameters of Poisson Ch. 5 Notes packet, textbook, Online Homework Chapter 5 Distribution, Applications of discrete distributions 10 Uniform and Normal Distributions, z scores, Ch. 6 Notes packet, textbook, Online Homework Chapter 6 applications 11 Central Limit Theorem, Normality assessments Ch. 6 Notes packet, textbook, Online Homework Chapter 6 12 Population Proportions, Sample Sizes, Confidence Intervals Ch. 7 Notes packet, textbook, Exam Chapters 5-6 Online Homework Chapter 7 13 Confidence Intervals for population means and Ch. 7 Notes packet, textbook, Online Homework Chapter 7 standard deviations, sample sizes 14 Hypothesis Testing for a population proportion Ch. 8 Notes packet, textbook, Online Homework Chapter 8 15 Hypothesis Testing for a population mean Ch. 8 Notes packet, textbook, Online Homework Chapter 8 16 Final Exam Week Comprehensive Final Exam Note: All items in the syllabus are subject to change and the students will be notified if such changes are made

Instructor: Matthew Wickes Kilgore Office: ES 310

MATH 1314 College Algebra Syllabus Instructor: Matthew Wickes Kilgore Office: ES 310 Longview Office: LN 205C Email: mwickes@kilgore.edu Phone: 903 988-7455 Prerequistes: Placement test score on TSI or