MATH251C: Name Statistics

Credits 4 Lab/Practicum/Clinical Hours 0 Lecture Hours 4
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Topics include basic measurements of central tendency and variability, frequency distributions, probability; binomial, Poisson, Chi-square, Student t, and normal distributions; sampling distributions, estimation of parameters, hypothesis testing, correlation, and linear regression. A graphing calculator will be required.


Students are required to pass prerequisite courses with a grade of C or higher. Exceptions apply; please consult your department chair.

High school Algebra II with a C or higher [or equivalent]; MATH 092 with a C or higher; or recommendation of the Math/Physics Department

  • Identify types of data and sampling methods.
  • Identify, create, and interpret common statistical graphs.
  • Calculate basic descriptive statistics (central tendency, variation, and position).
  • Apply basic probability concepts (addition rule, multiplication rule, complement).
  • Identify and solve problems involving discrete probability distributions.
  • Identify and solve problems involving continuous probability distributions.
  • Apply the Central Limit Theorem to problems involving sampling distributions.
  • Calculate a confidence interval estimate of population mean, proportion, or standard deviation.
  • Test a claim concerning a population mean, proportion, or standard deviation.
  • Calculate and interpret the linear correlation coefficient.
  • Produce a linear regression model to solve an application problem.