Syllabus for MAT 232 Elementary Statistics 3 Credit Hours Fall 2012

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Syllabus for MAT 232 Elementary Statistics 3 Credit Hours Fall 2012 I. COURSE DESCRIPTION Designed for students of the social and health sciences, education, and business. Includes both descriptive and inferential methods and treats the fundamental concepts exemplified by frequency distributions, measures of central tendency and variability, the interpretation of results, hypothesis testing, regression, analysis of variance, and chi-square. (Does not count toward major or minor in mathematics.) Prerequisites: Students who matriculate to ORU as of fall 2011, need to meet the following: MAT 113, 114, or 201; an appropriate score on the ORU mathematics placement exam. II. COURSE GOALS The purpose of this course is to enable the student to be able to do the following: A. Understand the concept of the whole person an integrated individual who is intellectually alert and spiritually alive by engaging in a quest for knowledge of his or her relationship to God, other people, and the universe and intelligently fill the many roles encountered in everyday life, such as that of the consumer. B. Become statistically literate and make statistical decisions in his or her own field of practice, thus enabling him or her to go into everyone s world with healing for the totality of human need. C. Understand the groundwork and basic tools of statistical analysis, which includes proficiency with graphing calculators and computer software, for pursuing research purposes or for more concentrated study in his or her chosen discipline. III. STUDENT LEARNING OUTCOMES FOR THIS COURSE A. Terminal Objectives As a result of successfully completing this course, the student will be able to do the following: 1. Summarize raw data using graphical methods. 2. Summarize raw data by descriptive statistical methods. 3. Quote the Central Limit Theorem. 4. Apply rules for determining the probabilities of events. 5. Construct and interpret confidence intervals for estimating population values. 6. Make predictions. 7. Complete a test of hypothesis using appropriate formulas and techniques in the following categories: a. Value of population proportion b. Value of population mean c. Difference between means d. Analysis of variance e. Correlation f. Value of population standard deviation MAT 232 Latest Revision: 4/12/2012 1 (Fall 2012-Staff)

B. Unit Objectives As a result of successfully completing this unit, the student will be able to do the following: 1. Unit I: The student studies approaches to statistics, random sampling, mode, median, mean, variance, standard deviation, percentiles, percentile ranks, z scores, discrete and continuous variables, histograms, and frequency polygons. a. Give examples of descriptive and inferential statistics. b. Given a data set, represent it using appropriate graphical tools. c. Name and define the measures of central tendency and dispersion. d. Given a data set, compute the mode, median, mean, variance, standard deviation, percentile ranks, and z scores. e. Calculate the probabilities of simple and compound events. 2. Unit II: The student studies the binomial distribution, the normal distribution, sampling distributions of sums and means, the normal approximation to the binomial, and the sampling distribution of proportions. a. State properties of the binomial and normal distributions. b. Calculate probabilities using the binomial and normal distributions. c. Find areas of sectors under the normal curve. d. Find percentiles and percentile ranks in normal distributions and sampling distributions of means, sums, and proportions. e. State the Central Limit Theorem. f. Compute the probabilities of events occurring in experiments involving discrete sample spaces. g. Compute the probabilities of events occurring in binomial experiments using a normal approximation. 3. Unit III: The student studies the hypothesis testing procedure, unbiased point estimation of the population mean, variance, standard deviation, and proportion, and interval estimation. a. Find unbiased point estimates for a population mean, variance, standard, and proportion. b. Find confidence intervals for population means and proportions. c. Calculate the probability of a type-one error occurring for tests involving hypotheses regarding population proportions and means. d. Perform tests of hypotheses involving population proportions. e. Perform tests of hypotheses involving population means when population standard deviation is known (z tests). f. Perform tests of hypotheses involving population means when population standard deviation is unknown (t tests). g. Translate real-world theories into hypotheses and test them by appropriate means. 4. Unit IV: The student studies analysis of variance, regression analysis, correlation analysis, and the chi square tests for the value of a population standard deviation. a. Perform tests of hypotheses involving the differences among a group of population means (ANOVA). b. Draw a scattergram given two scores for each subject in a group and sketch a regression curve. c. Develop the equation of the best-fit straight line to a raw score scattergram (prediction formula) and use it to make predictions. d. Compute and interpret the correlation coefficient between two variables. MAT 232 Latest Revision: 4/12/2012 2

C. Objectives for Students in Teacher Preparation Programs The Teacher Preparation Program meets the competency-based requirements established by the Oklahoma Commission on Teacher Preparation. This course meets the following competency: Subject Competency (SC) 8. SC 8: Is proficient in the use of a variety of instructional strategies to include, but is not limited to, cooperative learning, use of concrete material, use of technology (i.e., calculators and computers), and writing strategies to stimulate and facilitate student learning. IV. TEXTBOOKS AND OTHER LEARNING RESOURCES A. Required Materials 1. Textbooks Triola, Mario M. Elementary Statistics. 11th ed. Reading, MA: Addison-Wesley Longman, 2009. ISBN-13: 9780321647825 (Total Package). Triola, Mario M. MINITAB Manual. 11th ed. Boston: Addison-Wesley Longman, 2009. (with data disk) ISBN-13: 978-0321570819 MyMathLab (with ebook). MyMathLab is automatically included in the prepackaged deal along with Minitab. Students who choose to buy a used book must buy these two items separately. 2. Other A calculator with statistical functions is required. The recommended calculators for this course are the Texas Instruments TI-83/84 plus. B. Optional Materials 1. Textbooks None 2. Other None V. POLICIES AND PROCEDURES Triola, Mario M. Student s Solution Manual. 11th ed. Reading, MA: Addison- Wesley Longman, 2009. (This manual is also included in the prepackaged deal.) A. University Policies and Procedures 1. Attendance at each class or laboratory is mandatory at Oral Roberts University. Excessive absences can reduce a student s grade or deny credit for the course. 2. Students taking a late exam because of an unauthorized absence are charged a late exam fee. 3. Students and faculty at Oral Roberts University must adhere to all laws addressing the ethical use of others materials, whether it is in the form of print, electronic, video, multimedia, or computer software. Plagiarism and other forms of cheating involve both lying and stealing and are violations of ORU s Honor Code: I will not cheat or plagiarize; I will do my own academic work and will MAT 232 Latest Revision: 4/12/2012 3

not inappropriately collaborate with other students on assignments. Plagiarism is usually defined as copying someone else s ideas, words, or sentence structure and submitting them as one s own. Other forms of academic dishonesty include (but are not limited to) the following: a. Submitting another s work as one s own or colluding with someone else and submitting that work as though it were his or hers; b. Failing to meet group assignment or project requirements while claiming to have done so; c. Failing to cite sources used in a paper; d. Creating results for experiments, observations, interviews, or projects that were not done; e. Receiving or giving unauthorized help on assignments. By submitting an assignment in any form, the student gives permission for the assignment to be checked for plagiarism, either by submitting the work for electronic verification or by other means. Penalties for any of the above infractions may result in disciplinary action including failing the assignment or failing the course or expulsion from the University, as determined by department and University guidelines. 4. Final exams cannot be given before their scheduled times. Students need to check the final exam schedule before planning return flights or other events at the end of the semester. 5. Students are to be in compliance with University, school, and departmental policies regarding the Whole Person Assessment requirements. Students should consult the Whole Person Assessment handbooks for requirements regarding general education and the students majors. a. submitting an artifact is a zero for that assignment. b. by submitting an assignment, the student gives permission for the assignment to be assessed electronically. B. Department Policies and Procedures 1. A fee of $15.00 is assessed for all late exams. This policy applies to all exams taken without notifying the professor prior to the regularly scheduled exam time and to all exams taken late without an administrative excuse. 2. Any student whose unexcused absences total 33% or more of the total number of class sessions receives an F for the course grade. C. Course Policies and Procedures 1. Evaluation Procedures a. The grade for this course is based on the total number of points accumulated in each of five categories. Each total is weighed. Homework 15% Tests (may include quizzes) 45% Computer Work 17% WPA Assignment 3% Final Exam 20% MAT 232 Latest Revision: 4/12/2012 4

b. Grading scale: A=90% B=80% C=70% D=60% F=59% and below The student who wants to know his or her grade in the course should keep a record at all times of all points earned. 2. Whole Person Assessment Requirements a. A WPA artifact is required for this course. For specific requirements, check the WPA handbook at http://wpahandbook.oru.edu. Artifacts not submitted electronically or incorrectly submitted receive a zero for that assignment. (Submission requirements are for students who have had Whole Person Assessment training.) c. The WPA assignment replaces Minitab Chapter 7 and counts as 3% of the student s grade. 3. Other Policies and/or Procedures a. The only way to learn mathematics is to do mathematics. Therefore, the student must do homework regularly. The individual homework assignments are done utilizing MyMathLab, a product of Allison- Wesley. The starting and ending dates for each assignment are listed in the online assignment page and the calendar. Specifically, each assignment is due the next class period after it is assigned, unless it is indicated to the contrary at the time of the assignment. Failure to complete a homework on time may result in a zero for that assignment, which may eventually affect the midterm or final grade. Homework is a minimal course requirement. b. Homework is assigned to provide students with the opportunity to learn the material. Therefore, students are encouraged to obtain assistance from anyone if they are having difficulty. The idea is to learn as much statistics as possible from one another. However, MyMathLab provides tutorials, practice tests and quizzes, video lectures, online help, and other resources that encourage independent learning. Of course, students are expected to work independently on tests. c. Examinations may be given one time or two different times on an exam date. If two time slots are offered, a student may take the examination at either session. While morning exams are scheduled from 10:50 a.m. to 12:20 p.m., afternoon exams are from 4:50 p.m. to 6:20 p.m. All exams must be taken on the scheduled dates and times. The student must show a doctor s excuse or obtain a signed petition plus pay a $15.00 late fee to take the exam at a later date. This date cannot extend beyond Thursday of the same week that the exam is given and must be taken at the rescheduled time and date without exception. The dates, locations, and room numbers of the exams will be announced at the beginning of the semester. It is the student s responsibility to plan ahead to take the exams on time. d. A complete and detailed chapter-by-chapter list of learning objectives is found in the text. MAT 232 Latest Revision: 4/12/2012 5

VI. COURSE CALENDAR Lesson Section Topic 1 Orientation, Syllabus 2 1-3 Types of Data 3 1-4 Critical Thinking 4 1-5 Collecting Sample Data 5 2-2 Frequency Distributions 6 2-3 Histograms 7 2.4-2.5 Statistical Graphics/Critical Thinking-Bad Graphs 8 3.2 Measures of Center 9 3.3 Measures of Variation 10-11 3.4 Measures of Relative Standing and Boxplots 12 Review for Exam I 13 Exam I Chapters 1-3 14 4-2 Basic Concepts of Probability 15 4-3 Probability Addition Rule 16 5-2 Random Variables 17 5-3 Binomial Probability Distributions 18 5-3 Binomial Probability Distributions 19 5-4 Mean, Variance, and Standard Deviation for the Binomial Distribution 20 6-2 The Standard Normal Distribution 21 6-3 Applications of Normal Distributions 22 6-5 The Central Limit Theorem 23 6.6 Normal as Approximation to Binomial 24 Review for Exam II 25 Exam II Chapters 4-6 26 7-2 Estimating a Population Proportion 27 7-3 Estimating a Population Mean, known 28 7-4 Estimating a Population Mean, not known 29 7-5 Estimating a Population Variance 30 8-2 Basics of Hypothesis Testing 31 8-3 Testing a Claim about a Proportion 32 8-4 Testing a Claim about a Mean, known 33 8-5 Testing a Claim about a Mean, not known 34 8.6 Testing a Claim about (standard deviation) or 2 (variance) 35 Review for Exam III 36 Exam III Chapters 6-8 37 10-2 Correlation 38 10-3 Regression 39 12-2 One-Way Anova 40 Review for Final Exam 41 Final Exam Please note: The individual homework assignments are done utilizing MyMathLab, a product of Allison-Wesley. MAT 232 Latest Revision: 4/12/2012 6

Course Inventory for ORU s Student Learning Outcomes MAT 232 Elementary Statistics Fall 2012 This course contributes to the ORU student learning outcomes as indicated below: Significant Addresses the outcome directly and includes targeted assessment. Moderate Addresses the outcome directly or indirectly and includes some assessment. Minimal Addresses the outcome indirectly and includes little or no assessment. No Does not address the outcome. The Student Learning Glossary at http://ir.oru.edu/doc/glossary.pdf defines each outcome and each of the proficiencies/capacities. OUTCOMES & Significant Moderate Minimal No 1 Outcome #1 Spiritually Alive 1A Biblical knowledge X 1B Sensitivity to the Holy Spirit X 1C Evangelistic capability X 1D Ethical behavior X 2 Outcome #2 Intellectually Alert 2A Critical thinking X 2B Information literacy X 2C Global & historical perspectives X 2D Aesthetic appreciation X 2E Intellectual creativity X 3 Outcome #3 Physically Disciplined 3A Healthy lifestyle X 3B Physically disciplined lifestyle X 4 Outcome #4 Socially Adept 4A Communication skills X 4B Interpersonal skills X 4C Appreciation of cultural & linguistic differences X 4D Responsible citizenship X 4E Leadership capacity X MAT 232 Latest Revision: 4/12/2012 7