SPC MATH 1342 - Statistical Methods (3 pages)

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Statistical Methods



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Statistical Methods

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Pages:
3
School:
South Plains College
Course:
Math 1342 - Statistical Methods
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GENERAL COURSE SYLLABUS Miller MATH1342 234 STATISTICAL METHODS Department Mathematics Discipline Mathematics Course Number Math 1342 Course Title Statistical Methods Credit 3 Lecture 3 Lab 0 Prerequisites College Algebra Math1314 Math Analysis I Math1324 or consent of instructor Available Formats Conventional Campus Roosevelt ISD Textbook N A Supplies Scientific calculator Course Description This course is a study of the methods of analyzing data statistical concepts and models estimation tests of significance introduction to analysis of variance linear regression and correlation Course Purpose Rational Goal To provide a transferable course in the elements of statistical methods Equal Opportunity South Plains College strives to accommodate the individual needs of all students in order to enhance their opportunities for success in the context of a comprehensive community college setting It is the policy of South Plains College to offer all educational and employment opportunities without regard to race color national origin religion gender disability or age Disability Statement 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 Course Requirements To maximize the potential to complete the course a student should attend all class meetings take notes participate in class complete all homework assignments and demonstrate mastery at least 70 on all exams including the final examination Course Evaluation Please see the instructor s course information sheet for specific items used in evaluating student performance Attendance Required if you want to pass the class Excessive absences based on instructor may result in an administrative withdrawal INSTRUCTOR Torill Miller Conference Every day 2 2 45 pm OR BY APPOINTMENT TEXTS AND MATERIALS Elementary Statistics by Bluman OPTIONAL Scientific calculator REQUIRED I recommend that you use a calculator with a graphing feature or TI 30XIIS but any scientific calculator will do COURSE OBJECTIVES Upon completion of this course and receiving a passing grade the student will demonstrate mastery of the following concepts 1 2 3 represent raw data using frequency distributions represent raw data using polygons ogives histograms and pie charts 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 4 calculate coefficients of variation and skewness and interpret in writing the significance of the calculations 5 calculate classical and empirical probabilities 6 apply binomial Poisson and normal distribution properties to calculate probabilities and interpret in writing the significance of the calculations 7 calculate mean variance and standard deviations of probability distributions and interpret in writing the significance of test results 8 evaluate a hypothesis testing situation to determine the appropriate test to be used 9 use parametric and non parametric tests for hypothesis testing and interpret in writing the significance of test results 10 calculate simple and multiple linear regression equations and use equations to make predictions 11 calculate coefficients of correlation determination and non determination and interpret in writing the significance of the calculations 12 use a computer statistics program and or a statistical calculator to help with computations GRADING There will be 4 major examinations In class assignments will be given without notice and will count as a daily grade with participation Late homework will be accepted but you can only receive a maximum of 50 for any late work If you have to miss a class contact the instructor as soon as possible Homework that is turned in by other classmates will result in a 0 Make up exams will be given only for special reasons and arrangements must be made with the instructor prior to the scheduled exam I A B C D F 90 100 80 89 70 79 60 69 0 59 3 Exams Final Exam Assignments 60 25 15 FREEDOM In the United States you experience many freedoms Two of these freedoms include the freedom to succeed and the freedom to fail Which one will you choose Monday Student Learning Outcomes Competencies Tuesday Wednesday Thursday Friday Jan 18 Jan 19 MLK Day Jan 25 Feb 8 Intro To Stats Jan 26 Measures of Center Feb 2 Applications of Variation Feb 9 Feb 15 Review Feb 16 Feb 1 Jan 20 Jan 27 Feb 3 Feb 10 Mar 8 Feb 23 Multiplication Rule Mar 2 Discrete Prob Dist Mar 9 Mar 15 EXAM 2 Mar 16 Mar 1 Spring Break Mar 22 Mar 29 Apr 5 Easter Holiday Apr 12 Apr 19 Apr 26 May 3 May 10 Spring Break Mar 23 Applications of Normal Dist Mar 30 Central Limit Theorem Apr 6 Estimation Proportions Apr 13 EXAM 3 Apr 20 Hypothesis Testing Means Apr 27 Correlation May 4 Applications of Regression May 11 FINAL EXAM Graphs Charts Jan 28 Measures of Variation Feb 4 Exploratory Data Analysis Feb 11 Feb 24 EXAM 1 Feb 18 Addition Complement Rule Feb 25 Mar 3 Binomial Rule Mar 4 Feb 17 Basic Probability Feb 22 Jan 21 Mar 17 Review Mar 11 Standard Normal Distribution Mar 18 Spring Break Mar 24 Spring Break Mar 25 Mar 10 Mar 31 Apr 7 CAS Apr 1 Estimation Means Apr 8 Apr 28 REVIEW Apr 15 Hypothesis Testing Apr 22 Hypothesis Testing Proportions 2 means Apr 29 May 5 Regression May 6 May 12 REVIEW May 13 Apr 14 Apr 21 Jan 22 Jan 29 Feb 5 Feb 12 Feb 19 Feb 26 Mar 5 Mar 12 Mar 19 Spring Break Mar 26 Apr 2 Apr 9 Apr 16 Apr 23 Apr 30 May 7


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