Syllabus Introduction to Statistics I Spring 2015 (Bashar)Updated(1) - COURSE SYLLABUS STA 2023 Introductory Statistics I Department of Mathematics and

Syllabus Introduction to Statistics I Spring 2015 (Bashar)Updated(1)

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COURSE SYLLABUS STA 2023: Introductory Statistics I Department of Mathematics and Statistics College of Arts & Sciences University of South Florida Course Coordinator: Dr. R. D. Wooten e-mail: [email protected] Instructor : Raquibul Bashar Term :Spring 2015 Office : CMC 004 (Basement) Class Meeting Days : M W Phone : (813) 598 9313 Class Meeting Hours : 8:00-9:15 A. M. Email : [email protected] Class Location : BEH 104 Office 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, Partial Solutions, and Projects ISBN: 9781465214041 2) The Joy of Statistics Student Handbook which includes Chapter Summaries, Workbook, Using Technology and Projects. Note: updated projects may be posted on Canvas. II. Course Description : This course features Descriptive Statistics, Probability and Inferential Statistics; including basic probability principles, and Discrete and Continuous Probability Distributions: Binomial Probability Distribution, Normal and Standard Normal Probability Distribution, and Student – t Distribution. Point estimation, confidence limits, 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 to be able to do the following, either by hand (using a scientific calculator for Syllabus: 1
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computations) on an exam or, where possible, using Excel statistical software for a collected 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 basic measures of central tendency (mean, median, mode, trimmed mean and weighted mean) and dispersal (range, variance, standard deviation). 4. Identify Outliers: Given the graph of a distribution of measurements, or a description of such a graph such as a histogram or box plot, apply Empirical Rule or Chebyshev's Theorem to describe the distribution of data and identify the existence of any outliers.
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