Activstats online dating

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The university policy on incomplete grades is located at

GRADING: LATE WORK AND "DO-OVERS"Late work will be accepted at the discretion of the instructor and must be arranged at the student's initiative within two weeks of the due date, prior to two weeks before the end of classes.

The course is elementary in mathematical level but conceptually rich in statistical ideas and serious in its aim to help you think about data and use statistical methods with understanding.

It requires more intellectual effort than the elementary mathematical level suggests.

For example: i) in week 3 of the semester don't ask to submit the week 1 assignment that you "forgot" to submit in week 1; ii) requests to improve the score of a previously submitted webassign homework whose deadline has passed will not be granted.

When a late assignment is submitted by the revised due date per the agreement between instructor and student, no "late assignment" penalty points will be deducted from the assignment grade.

All students are expected to respect the privacy of each other by not sharing or using such information outside the course. For more information on NC State's policy on working with students with disabilities, please see the Academic Accommodations for Students with Disabilities Regulation at

NC State University provides equality of opportunity in education and employment for all students and employees.

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Any person who feels that he or she has been the subject of prohibited discrimination, harassment, or retaliation should contact the Office for Equal Opportunity (OEO) at 919-515-3148.

Stats, Data and Models (ebook and learning aids) - Richard De Veaux, Paul Velleman, David Bock Edition: 4 ISBN: 978-0-321-19991-1 Web Link: Cost: This textbook is required.

In order to receive a grade of S, students are required to take all exams and quizzes, complete all assignments, and earn a grade of C- or better.

ST 312 is a second course in statistical inference and is further examination of statistics and data analysis beyond the introductory course.

Course content includes inference for comparing multiple samples, experimental design, analysis of variance and post-hoc tests.

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