Mat 114 Nau

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Mat 114 nau. Access study documents get answers to your study questions and connect with real tutors for mat 114. Mat 108 algebra for precalculus is a three credit hour course designed to provide a review of fundamental concepts and skills required for successful entry into mat 125 precalculus. Make sure you are accessing the correct class. Come solo or with your study group we look forward to assisting you with your course.
Quantitative reasoning contemporary quantitative methods especially descriptive statistics elementary probability examples of statistical inference linear and exponential models of growth and decay and applicable discrete models. Use your regular nau username and password to log in. Site information nau webwork server. This is group drop in tutoring.
Contemporary quantitative methods especially descriptive statistics elementary probability examples of statistical inference linear and exponential models of growth and decay and applicable discrete models fulfills liberal studies foundation requirement. An earned c or better in intermediate algebra typically 4 credits mat 121 or mat 122 from az community colleges from a community college is a satisfactory prerequisite for mat 108 mat 114 mat 150 sta 270. Mat 114 quantitative reasoning return to search description. Northern arizona university.
Mat 114 students meet once a week in a classroom. Quantitative reasoning at northern arizona university. Mat 100 with a grade of p taken fall 2013 or later or mat 102x with a grade of c or better or math placement results. When entering the online session in our our virtual map room please enter your first name and nau.
Mat 108 or mat 110 with a grade of c or better or math placement test results mthplace 50. Place 55 or international exchange student group visit athletics site nau community. Fulfills liberal studies foundation requirement. No appointment is necessary.
Courses at the intermediate algebra level and lower do not carry transfer credit at nau. Contemporary quantitative methods especially descriptive statistics elementary probability examples of statistical inference linear and exponential models of growth and decay and applicable discrete models.