download the new version AntiPlagiarism NET 4.126

Explain the importance of randomness in sampling, select and apply appropriate sampling techniques. Identify various discrete and continuous probability distributions, identify skewness and symmetry in a distribution, and compute appropriate parameters and probabilities associated with probability distributions including sampling distributions. Construct, compute, and use appropriate graphical displays and numerical measures to make accurate conclusions about data. Upon completion of the course, students will be able to do the following: Ver. Learning Outcomes: Alignment with Worldwide College of Arts & Sciences general education program outcomes is indicated in parentheses. Prerequisite(s): MATH 111 or MATH 140 Course Goals: Enable students to select and apply appropriate descriptive and inferential statistical techniques to analyze varying types of data, to defend the rationale for selection of the techniques, and to effectively communicate results of their analyses. Topics include types of data, sampling techniques, measures of central tendency and dispersion, elementary probability, discrete and continuous probability distributions, sampling distributions, hypothesis testing, confidence intervals, and simple linear regression.

Antonio Ruiz Before and after class or by appointment Telephone: Phone: Course Description: This course is a study of basic descriptive and inferential statistics. Location: Instructor: Office Hours: Rota, Spain.

1 Statistics with Aviation Applications Math 211 Mode of Delivery Lecture Blended Course Syllabus Credit Hours: 3 Credits Academic Term: Term 4: 23 March May 2015 Meetings: Thurs 18:00-22:00 26 Mar 2,9,16,23,30 Apr 7, May.

Download the new version AntiPlagiarism NET 4.126