MDCNorthSyllabusSummer17.doc - MIAMI-DADE COLLEGE North Campus Math Department STA 2023 Statistical Methods Summer 2017 REF 0009-4180 Classroom R7111

MDCNorthSyllabusSummer17.doc - MIAMI-DADE COLLEGE North...

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MIAMI-DADE COLLEGENorth Campus Math DepartmentSTA 2023Statistical MethodsSummer 2017REF #: 0009-4180/ Classroom: R7111/ SaSu 8:00AM-11:20AMOffice Hour(s) & Location: R7111/ MW 7:30AM-7:55AMInstructor: Fritz MorencyEmail: [email protected](Best Contact)Phone: (305) 237-3651
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Course Description:This course is intended to prepare students to represent sets of data graphically and use those graphs to draw conclusions underlying the application of statistical procedures such as normal probability plots, boxplots, stem-and-leaf plots, histograms, scatterplots, and residual plots. Additionally, these plots are used to find similarities and differences between two or more different sets of data. More importantly, this course emphasizes more on interpretation than computation. Once the students are familiar with the statistical procedures, outputs from diverse statistical software packages (SAS, Minitab, JMP, SPSS, and S-Plus) will be provided to studentsto make inferences and draw conclusions based on the results of the computations. One of the major problems first-time statistics students often encounter is to understand that, unlike other mathematics courses, statistics is not about numbers, but about data (numbers in context). To overcome this issue, every topic in this course will be taught via real-life activities and examples. This will allow students to practice communicating methods and results, and interpreting results in authentic situations using the vocabulary of statistics.Prerequisite: MAT 1033 or equivalent with a grade of “C” or better.Course Objectives: see attached “Learning Outcomes”Text:Elementary Statistics, 12thEdition, by Mario F. Triola, Addison Wesley.Student Edition ISBN: 978-0-321-83696-0. An electronic version of the textbook is available through MyMathLab. MyMathLab:Every student must register to MyMathLab to have access to the homework assignments.Course Name: MDCNorthSummer2017Course ID: morency62786Instructional Method: Lecture. Attendance/Classroom Policies: Students are expected to attend all class meetings. Students are responsible for classroom behavior conducive to the educational process. Arriving late and leaving early are disruptive. Cell phones and any other electronic devices must be turned off during lectures and assessments. The instructor has final authority in all matters related to course content, partial test dates, grading practices, and classroom discipline and procedures. A basic discipline rule during lectures will be that only one person (the Instructor, most of the times) will be talking to the rest of the audience.Academic Dishonesty: Any proof of academic dishonesty will result in a zero on the item in question and a lower grade for the course. Academic dishonesty includes (but is not limited to) cheating on an examination including unauthorized sharing of information, plagiarizing (presenting other people’s ideas or
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