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Hagerstown Community College OFFICIAL COURSE SYLLABUS DOCUMENT COURSE: MAT 119-M02 Introduction to Statistics With Computer Applications, 4 credits TIME: T R 4:00 p.m. – 5:15 p.m. T R 5:15 p.m. – 5:55 p.m. LOCATION: LRC 108 LRC 122 INSTRUCTOR: Joseph C. Mason SEMESTER/YEAR: Spring 2007 15 weeks CONTACT INFORMATION: Home phone: (301) 223 – 1808 e-mail: [email protected] COURSE DESCRIPTION: A study of modern statistical analysis enhanced with appropriate technology is presented for use in business, education, social sciences, and natural sciences. Computer software is employed to apply course topics to real world situations. Included in the course are fundamental topics in descriptive statistics, probability, normal and binomial distributions, confidence intervals, hypothesis testing, regression and correlation, chi-square distributions, and ANOVA. Not open to students who successfully complete MAT 109. Prerequisites: MAT 101, MAT 103, MAT 108, MAT 118, MAT 131,or MAT 161 or appropriate score on placement test or consent of math department. Semesters offered: Fall, Spring, Summer. 4 Credits TEXTBOOK: Statistics Informed Decisions Using Data, Second Edition, Michael Sullivan III, Pearson Prentice Hall, 2007, ISBN 0-13-187149-8 STUDENT LEARNING OUTCOMES: Upon successful completion of this course, students will learn: 1. Skills needed for performing basic statistical and analytical procedures. 2. The usefulness of probability and statistics for decision making in everyday life. 3. To critically and constructively identify the role and evaluate the usefulness of data for decision making. 4. Statistical methods needed for further study in probability and statistics. 5. Skills needed to use the computer software MINITAB 14 COURSE CONTENT OBJECTIVES: Upon successful completion of this course, students will be able to: 1. Organize and display data in a variety of ways. 2. Find and interpret descriptive statistics for given data. 3. Compute the line of best fit for a given set of data. 4. Compute the probability for a binomial experiment. MAT 119 INTRODUCTION TO STATISTICS WITH COMPUTER APPLICATIONS 1 Spring 2007 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. Compute the probability of an event using the normal distribution. Estimate µ with a given level of confidence for a given sample. Estimate p with a given level of confidence for a given sample. Run a hypothesis test involving µ. Run a hypothesis test involving p. Make inferences about the differences of two means. Make inferences about the differences of two proportions. Run a chi-square test for independence. Run a chi-square test for goodness of fit. Run a One-Way ANOVA Run a Multiple Regression Analysis ASSESSMENT PROCEDURES: Each student is expected to attend all MAT 109 lecture classes and take all in class exams and the final exam. Each student will also be given a set of problems to work using MINITAB 14 and turn in as graded assignments. Course grade will be calculated on straight percentage with the following cut offs: 90% + 80% – 90% 70% – 80% 60% – 70% below 60% A B C D F COURSE POLICIES: Attendance: Students are expected to attend all classes. In the case of absence due to emergency (illness, death in family, accident), conflict in work schedule, or participation in official college functions, it is the student’s responsibility to confer with the instructor about the absence and missed course work. It is the student’s responsibility to withdraw officially from any class which he/she ceases to attend. Students are expected to take all exams during scheduled time periods unless previous arrangements are made with the instructor. (College’s attendance policy, page 60 in catalog) Academic integrity: As in all courses you take at Hagerstown Community College, you are always expected to turn in only your own work on each examination and graded assignment. Cheating in any form will not be tolerated and any instances that are uncovered will result in a "zero" grade being recorded for that work in the course. (College’s honor code, page 59 in catalog) Cell phones: All cell phones should be turned off during class time unless previous arrangements are made with the instructor. Course content: The instructor reserves the right to modify course content or exam schedule as he deems necessary or beneficial to students throughout the course. MAT 119 INTRODUCTION TO STATISTICS WITH COMPUTER APPLICATIONS 2 Spring 2007 TOPICAL OUTLINE: Introduction to course and expectations Section 1.1 Introduction to the Practice of Statistics Section 1.2 Observational Studies, Experiments, and Simple Random Sampling Section 1.3 Other Effective Sampling Methods Section 1.4 Sources of Error in Sampling Section 1.5 The Design of Experiments Section 2.1 Organizing Qualitative Data Section 2.2 Organizing Quantitative Data: The Popular Displays Section 2.3 Additional Displays of Quantitative Data Section 2.4 Graphical Misrepresentations of Data Test 1 Chapters 1 & 2 Section 3.1 Measures of Central Tendency Section 3.2 Measures of Dispersion Section 3.3 Measures of Central Tendency and Dispersion from Grouped Data Section 3.4 Measures of Position Section 3.5 The Five-Number Summary and Boxplots Section 4.1 Scatter Diagrams and Correlation Section 4.2 Least Squares Regression Section 4.3 Diagnostics on the Least-Squares Regression Line Section 5.1 Probability Rules Section 5.2 The Addition Rule and Complements Section 5.3 Independence and the Multiplication Rule Section 5.4 Conditional Probability and the General Multiplication Rule Section 5.5 Counting Techniques Test 2 Chapters 3, 4, & 5 Section 6.1 Discrete Random Variables Section 6.2 The Binomial Probability Distribution Section 6.3 The Poisson Probability Distribution Section 7.1 Properties of the Normal Distribution Section 7.2 The Standard Normal Distribution Section 7.3 Applications of the Normal Distribution Section 7.4 Assessing Normality Section 8.1 Distribution of the Sample Mean Section 8.2 Distribution of the Sample Proportion Test 3 Chapters 6, 7, & 8 Section 9.1 The Logic in Constructing Confidence Intervals about a Population Mean Where the Population Standard Deviation is Known Section 9.2 Confidence Intervals about a Population Mean in Practice Where the Population Standard Deviation is Unknown Section 9.3 Confidence Intervals about a Population Proportion Section 9.4 Confidence Intervals about a Population Standard Deviation Section 9.5 Putting it All Together: Which Method Do I Use? Section 10.1 The Language of Hypothesis Testing MAT 119 INTRODUCTION TO STATISTICS WITH COMPUTER APPLICATIONS 3 Spring 2007 Section 10.2 Testing Claims about a Population Mean Assuming the Population Standard Deviation is Known Section 10.3 Testing Claims about a Population Mean in Practice Section 10.4 Testing Claims about a Population Proportion Section 10.5 Testing Claims about a Standard Deviation Section 10.6 Putting it All Together: Which Method Do I Use? Test 4 Chapters 9 & 10 Section 11.1 Inference about Two Means: Dependent Samples Section 11.2 Inference about Two Means: Independent Samples Section 11.3 Inference about Two Population Proportions Section 11.4 Inference about Two Population Standard Deviations Section 12.1 Goodness of Fit Section 12.2 Contingency Tables and Association Section 12.3 Tests for Independence and the Homogeneity of Proportions Comprehensive Final Exam Additional sections for students in MAT 119 Section 13.1 Comparing Three or More Means (One-Way Analysis of Variance) Section 13.2 Post-Hoc Tests on One-Way Analysis of Variance Section 13.3 The Randomized Complete Block Design Section 13.4 Two-Way Analysis of Variance SERVICES FOR STUDENTS WITH SPECIAL NEEDS: Hagerstown Community College is committed to providing support services for students who have special needs. Students are encouraged to identify themselves to the coordinator of special student services as early as possible. Reasonable accommodations based on current documentation are provided to qualified students. Jamie Bachtell is the advisor and contact person in The Office of Students with Disabilities. She may be reached at 301-790-2800 ext. 273 or via e-mail at [email protected]. MAT 119 INTRODUCTION TO STATISTICS WITH COMPUTER APPLICATIONS 4 Spring 2007