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TEXT: Essentials of Statistics, 2nd Edition, Mario F. Triola COURSE DESCRIPTION: Statistics is FUN! See attached goals and objectives. This course is applications driven and uses technology extensively. PREREQUISITE: MAC 1105 with grade of C or better or equivalent. MATH LAB: You can obtain assistance for mathematics classes in the Mathematics Laboratory, room 2223. There, you will find course-related videotapes and computer software, and tutors that can help you to successfully complete this course. The Math Lab is open these hours: MTWR . You do not need an appointment. The telephone number for the lab is 305-237-3834. If you have a problem with the Math Lab, please contact Jose De Paz at 305-237-3971
Classroom and Laboratory Etiquette: Professional behavior is expected at all times. Please refrain from bringing food or drinks into any classroom, lab, or into the courtyard. Please turn off any cellular phones and set pagers to "vibrate." You are expected to arrive on time to class, depart when the class has concluded, and treat others respectfully. You are encouraged to ask questions. The tutors in the lab must help all the students and take turns; they cannot work with one student for a prolonged period of time. We are unable to offer one-to-one continuous tutoring.
Cell Phones: Cell phones must be turned off before you enter the classroom. If your cell phone rings in class you will be asked to leave the classroom for that day.
Academic Honesty: In this course, students are encouraged to work with others outside of class. Students are encouraged to consult with other students, books, mathlab, professors, etc on homework problems. Such collaboration outside of class will likely shape the students work on homework assignments. It is expected that students final version of their homework be their own. On occasions such as in-class individual tests, where it is emphasized that your work should be your own, it is not permitted to copy other students test papers, or to use hidden, prepared notes to gain an advantage on a test. Such behavior might result in consequences ranging from an ‘F’ on a test, ‘F’ in the course, to dismissal from the College. Please refer to page 15 of the Students’ Rights and Responsibilities handbook for a more detailed discussion on academic dishonesty and resulting sanctions.
Problems with the Instructor: If you are having a problem with your mathematics instructor, please see that instructor during office hours. Before or after class is generally not a good time to discuss a problem with an instructor who is either about to start class or on the way to the next class. If after speaking with your instructor during office hours you cannot resolve the problem, then you need to visit the chairperson, Norma Agras (office 1540) as the next step.
Withdrawal: If you feel that you will be unable to complete the requirements for passing a class, it is important that you drop the class by the college's "drop date" as established by the registrar's office. You should speak to your instructor prior to making the decision to drop. Remember that it is your responsibility to drop a class, not the instructor's. If circumstances such as illness, accident, change in employment situation, etc., prevent you from continuing to attend your class BEFORE the drop date, speak to your instructor and see the Dean of Students (room 1201) for your options regarding an appeal. If such a situation occurs AFTER the drop date, you should contact the instructor for information as to how you can complete the requirements for passing the course. The last day to register or withdraw with a 100% refund i ... The last day for students to withdraw and receive a grade of “W” is .
Registration: It is your responsibility to make sure that you are registered for this course. Be sure to obtain a copy of your schedule to verify the reference number and that you do not have any outstanding fees. If your name does not appear on your instructor’s class roll by the first day of the mini-term as being registered and having paid for the class, you will not receive a grade for this course, and you will have to retake it next term, regardless of whether you continue to sit in on the class.
GRADING POLICY: You will have three (3) unit tests during the semester, and a cumulative final exam. If you miss one test, then your score on the missed test is a zero, and the score of the final will replace the score of the missed test. There are NO make-ups. The most stringent grade scale that will be enforced is as follows: 90% - 100% A 80% - 89% B 70% - 79% C 60% - 69% D Below 60% F FINAL GRADE DETERMINATION: Quizzes 40% (http://www.mymathlab.com) Projects For Extra Credit (http://www.aw.com/triola) Midterm 30% Final Examination 30% Service Learning 5% (Extra Credit)
Incomplete: The grade of I (Incomplete) is given in the rare case that a student is PASSING a class but for some extenuating circumstance is unable to complete the last part (usually the final exam) of the class. If you are not passing your class, it is not possible for your instructor to give you an I. Note that you will have one full term (Fall or Winter) to complete the requirements of your Incomplete contract. If you do not complete your requirements in that time, the I generally will automatically change to an F on your records. The instructor makes the determination as to whether you are eligible for an Incomplete.
ATTENDANCE: Students are expected to attend all class meetings. Attendance will be recorded at the beginning of each class.
MAKE-UP TESTS: There will be no make-up tests. If you miss one test for any reason, your final exam grade will be substituted for that test grade. If you miss two or more tests, the grade for those tests will be zero.
ASSISTANCE: If you have questions about the material, I encourage you to ask questions during class. For more substantial help, please see me during office hours STA 2023 – Course Objectives
Upon completion of this course, students are expected to be able to demonstrate their knowledge and skills as follows:
Competency 1: The student will be able to demonstrate, basic knowledge of statistical terms. Competency 2: The student will be able to describe, explore and compare data by: a. Constructing and interpreting frequency tables and graphs such as bar graphs, pie charts and stem and leaf plots. b. Computing and interpreting the measures of centrality: the mean, median, mode and midrange. c. Computing and interpreting the measures of dispersion: The range, variance and standard deviation. Competency 3: The student will be able to apply the measures of position by: a. Computing z-scores. b. Applying the Empirical Rule to the Normal Distribution. c. Applying the Chebyshev’s Rule to the Non-Normal (or unknown) Distributions. Competency 4: The student will be able to apply the counting principles by: a. Defining the Fundamental Counting Principle. b. Computing the possible outcomes of compound events. c. Computing Combinations and Permutations.
Competency 5: The student will have a working knowledge of basic probability theory, including being able to: a. Describe a sample space and an event. b. Calculate probabilities of simple, compound and conditional events. Competency 6: With respect to random variables, the student will be able to: a. Distinguish between discrete and continuous random variables. b. Construct a probability distribution for a discrete random variable and be able to compute its mean and standard deviation. c. Compute probabilities for random variables having a binomial distribution. d. Compute probabilities for random variables having a normal distribution. e. Apply the Central Limit Theorem. f. Approximate the Binomial Probability using the Normal Distribution. Competency 7: The student will be able to construct confidence intervals, relative to: a. A single mean with population standard deviation known and unknown. b. A single proportion. c. The difference between two means. Competency 8: The student will be able to apply hypothesis test procedures by: a. Identifying Type I and Type II errors. b. Identifying and interpreting p-values. c. Testing a single mean for large or small samples d. Testing the difference between two means. e. Testing a single proportion. Competency 9: The student will have a basic understanding of how to deal with bivariate data, including: a. Being able to construct and interpret a scatter-plot. b. Being able to compute and interpret the linear correlation coefficient. c. Being able to determine the simple linear regression equation and use it to make predictions. |
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