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South Plains College Math 1342 Statistical Methods Policies and Procedures Purpose of Course: To provide a standard course in the methods of analyzing data, statistical concepts and models, estimation, tests of significance, introduction to analysis of variance, linear regression and correlation. Textbook: Elementary Statistics, by Bluman, 5th edition (brief) Supplies: Any scientific calculator.(A graphing calculator is not necessary.) Attendance: Refer to the current catalog. Whenever absences become excessive and, in the instructor’s opinion, minimum course requirements cannot be met due to absences, the student will be dropped by the instructor. Grade Determination: Your final grade will be the average of the major exams and the final exam. There will be no make up exams given. A missed exam will receive a grade of 0. Since no grades are dropped in this course it is especially important to take exams on time or early if scheduled with instructor. A 90-100 B 80-89 C 70-79 D 60-69 F 0-59 Cell Phones: In this class, the instructor reserves the right to ask a student to leave the class if a cell phone is left on and it disrupts the class. This instructor defines disrupting the class as allowing the phone to ring or vibrate in class or answering the phone. This is very disrespectful to other students around you and to the instructor. Cell phones must be completely turned off for exams. Disruption by cell phones during an exam will result in at least 10 points being deducted from the student’s exam grade. Homework: Homework will be assigned daily. Questions are taken at the next class period only. You are responsible for keeping up to date and prepared. No late homework will be accepted…no exceptions. So if you intend to miss, make your homework the necessary travel arrangements or bring it in early. Homework folders must be turned in the day of an exam at the time of the exam…no exceptions. Dropping a course: Refer to the current catalog. The last day to drop (LDTD) is listed in the calendar included in this syllabus. Tutoring and videotapes are available and will be announced by the instructor. Class Environment: In this class, the teacher will establish and support an environment that values and nurtures individual and group differences and encourages engagement and interaction. Understanding and respecting multiple experiences and perspectives will serve to challenge and stimulate all of us to learn about others, about the larger world, and about ourselves. By promoting diversity and intellectual exchange, we will not only mirror society as it is, but also model society as it should be. The instructor also encourages self respect and respect for the other individuals in the class. This may include language, volume, and general manners while class is being conducted. Course Objectives: Upon completion of this course and receiving a passing grade, the student will demonstrate mastery of the following concepts. 1. represent raw data using frequency distributions(1.2,1.3,1.4,2.2) 2. represent raw data using polygons, ogives, histograms, and pie charts(2.3,2.4,2.5) 3. calculate measures of central tendency, variation, and position for both grouped and ungrouped data and interpret in writing the significance and meaning of the calculations(3.2,3.3,3.4,3.5) 4. calculate coefficients of variation and skewness and interpret in writing the significance of the calculations(3.3) 5. calculate classical and empirical probabilities (4.2,4.3,4.4) 6. apply binomial, Poisson, and normal distribution properties to calculate probabilities and interpret in writing the significance of the calculations(6.2,6.3,6.4,6.5,6.6) 7. calculate mean, variance and standard deviations of probability distributions and interpret in writing the significance of test results(5.2,5.3,5.4) 8. evaluate a hypothesis testing situation to determine the appropriate test to be used(8.2,8.3,8.4,8.5,8.6) 9. use parametric and non-parametric tests for hypothesis testing and interpret in writing the significance of test results(9.3,9.4,9.5) 10. calculate simple and multiple linear regression equations and use equations to make predictions(10.3) 11. calculate coefficients of correlation, determination, and non-determination and interpret in writing the significance of the calculations(10.2,10.4) 12. us a computer statistics program and/or a statistical calculator to help with computations(All sections containing calculations.) Students with disabilities, including but not limited to physical, psychiatric or learning disabilities, who wish to request accommodations in this class should notify the Special Services Office early in the semester so that the appropriate arrangements may be made. In accordance with federal law, a student requesting accommodations must provide acceptable documentation of his/her disability to the Special Services Coordinator. For more information, call or visit the Special Services Office in the Student Services Building, 894-9611 ext. 2529, 2530.CLASS CALENDAR & OFFICE HOURS Class: Math 1342.002 TT 8-9:15 am M 108 Semester: Spring 2011 Instructor: Alma F. Lopez Office: M116 D Office Telephone: 806-716-2640 E-mail Address: [email protected] Monday Tuesday Wednesday Thursday Friday Jan. 17 M.L.K. Jr. Day Jan. 18 Forms Jan. 19 Jan. 20 Ch. 1 Jan. 21 Jan. 24 Jan. 25 2.1, 2.2 Jan. 26 Jan. 27 2.3 Jan. 28 Jan. 31 Feb. 1 3.1 Feb. 2 Feb. 3 3.2 Feb. 4 Feb. 7 Feb. 8 Review Feb. 9 Feb. 10 Test 1 Feb. 11 Feb. 14 Feb. 15 3.3 Feb. 16 Feb. 17 3.4 Feb. 18 Feb. 21 Feb. 22 10.1 Feb. 23 Feb. 24 10.2 Feb. 25 Feb. 28 Mar. 1 10.3 Mar. 2 Mar. 3 Review Mar. 4 Mar. 7 Mar. 8 Test 2 Mar. 9 Mar. 10 4.1 Mar. 11 Mar. 21 Mar. 22 4.2 Mar. 23 Mar. 24 4.3 partI Mar. 25 Mar. 28 Mar. 29 4.3 part II Mar. 30 Mar. 31 5.2,5.3 Apr. 1 Apr. 4 Apr. 5 6.1 Apr. 6 Apr. 7 6.2,6.3 Apr. 8 Apr. 11 Apr. 12 Review Apr. 13 Apr. 14 Test 3 Apr. 15 Apr. 18 Apr. 19 8.1,8.2 Apr. 20 Apr. 21 8.3, 8.4 Apr. 22 UIL Apr. 25 Easter Holiday Apr. 26 LDTD 8.5, 9.1 Apr. 27 Apr. 28 9.2 Apr. 29 May 2 May 3 9.3 May 4 May 5 Final Review May 6 May 9 May 10 Final Exam 8-10 am May 11 May 12 May 13


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SPC MATH 1342 - Statistical Methods

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