Mat 114 Nau

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Mat 114 nau.

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. Come solo or with your study group we look forward to assisting you with your course. Contemporary quantitative methods especially descriptive statistics elementary probability examples of statistical inference linear and exponential models of growth and decay and applicable discrete models. Mat 114 class information.

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. This is group drop in tutoring. At map you can work with a peer tutor who specializes in mat 121 136 137 238 or sta 270. Fulfills liberal studies foundation requirement.

Mat 114 students meet once a week in a classroom. 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. Mat 108 or mat 110 with a grade of c or better or math placement test results mthplace 50. Make sure you are accessing the correct class.

Courses at the intermediate algebra level and lower do not carry transfer credit at nau. Access study documents get answers to your study questions and connect with real tutors for mat 114. 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. No appointment is necessary.

Quantitative reasoning at northern arizona university. Place 55 or international exchange student group visit athletics site nau community. Mat 114 quantitative reasoning return to search description. If you have trouble logging in.

They spend the rest of their required time in the lumberjack mathematics center to complete their mathematics problems and projects with help from their instructor and tutors. 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.