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COURSE SYLLABUSSTA 2023: Introductory Statistics IDepartment of Mathematics and StatisticsCollege of Arts & SciencesUniversity of South FloridaCourse Coordinator: Dr. R. D. Wooten e-mail: [email protected]Instructor: Raquibul Bashar Term:Spring 2015Office:CMC 004 (Basement)Class Meeting Days:M WPhone:(813) 598 9313Class Meeting Hours:8:00-9:15 A. M.Email:[email protected]Class Location: BEH 104Office Hours:T F,2:00-4:00 P. M. or by Appointment__________________________________________________________________________________________Help Sessions:All Help Sessions are only on Friday.SEC. 001 (Friday, 8:00 AM- 8:50 AM in CMC 120 by Jeni Stefanova)SEC. 002 (Friday, 8:00 AM- 8:50 AM in SOC 132 by Shanna Lindmeyer)SEC. 003 (Friday, 8:00 AM- 8:50 AM in EDU 150 by Shuang Na)SEC. 004 (Friday, 9:05 AM- 9:55 AM in SOC 132 by Shanna Lindemeyer)SEC. 005 (Friday, 9:05 AM- 9:55 AM in EDU 313 by Shuang Na)SEC. 006 (Friday, 9:05 AM- 9:55 AM in CMC 120 by Jeni Stefanova)Note: The classroom for Section 002 has been changed (from NES 103 to SOC 132)I.Required Materials:1)The Joy of Statistics using Real-World Data, 1st Edition, Tsokos|Wooten with disk.Disk includes: Data Sets & Appendix, Distributions, Experiments, PartialSolutions, and Projects ISBN: 97814652140412) The Joy of Statistics Student Handbookwhich includes Chapter Summaries,Workbook, Using Technology and Projects. Note: updated projects may beposted on Canvas.II.Course Description:This course features Descriptive Statistics, Probability and Inferential Statistics;including basic probability principles, and Discrete and Continuous ProbabilityDistributions: Binomial Probability Distribution, Normal and Standard NormalProbability Distribution, and Student – t Distribution. Point estimation, confidencelimits, and hypothesis testing; with emphasis on applications to Social Sciences,Life Sciences, Physical Sciences, Engineering and Business.III.Course Objectives:Upon completion of an Introduction to Statistics I course, students are expected tobe able to do the following, either by hand (using a scientific calculator forSyllabus: 1
computations) on an exam or, where possible, using Excel statistical software for acollected assignment:1. Terminology: Students will be familiar with the statistical jargon used in descriptive statistics, probabilities and inferential statistics including proper symbolism.2.Graphical Representation of the Data:Given a set of measurements, generate a graphical display (such as a frequency distribution, bar chart, pie chart or histogram)3. Descriptive Statistics: Given a set of measurements, compute the basicmeasures of central tendency (mean, median, mode, trimmed mean andweighted mean) and dispersal (range, variance, standard deviation).4. Identify Outliers: Given the graph of a distribution of measurements, or adescription of such a graph such as a histogram or box plot, apply EmpiricalRule or Chebyshev's Theorem to describe the distribution of data and identifythe existence of any outliers.