MATH106C: Statistics

Category
Mathematics
Credits 4 Lab/Practicum/Clinical Hours 0 Lecture Hours 4
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Description

Recognizing that data and variability impact our daily decisions, Statistics I: An Introduction to Statistical Reasoning focuses on developing statistical literacy through an investigative process of problem-solving and decision-making. Students participate in the statistical process by formulating questions, analyzing data, and interpreting results, learning to become critical consumers of statistical information. The course introduces students to descriptive and inferential statistics. Topics include statistical distributions, linear regression and correlation, surveys and experiments, sampling distributions, probability, confidence intervals and hypothesis testing. A variety of statistical tools and software are used to explore concepts and deepen students’ conceptual understanding of the topics.

Prerequisites

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.