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MATH1070

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MATH1070 - Intro Stat Inference (3 cr)

MathematicsSC - College of Science

General Education Program Learning Outcome

Persist in Addressing Complex Problems

Quantitative Literacy (QL) - GE Course-Level Learning Outcomes

Upon successful completion of the General Education Quantitative Literacy requirement, students will be able to:

  • Communicate: Use correct terminology and proper notation to explain quantitative or mathematical relationships (equations, graphs, diagrams, tables, data) and to support an argument, assertion, or purpose using quantitative or mathematical evidence;

  • Mathematization: Convert quantitative or mathematical information into appropriate mathematical representations and/or models such as equations, graphs, diagrams, or tables, including making and evaluating important assumptions as needed;

  • Calculation: Use algebraic skills and techniques to solve problems, including the ability to identify and correct errors in calculations and understanding the role and proper use of technology in assisting with calculations;

  • Analysis: Draw appropriate conclusions through quantitative or mathematical analysis of data or models, including understanding and evaluating important assumptions in order to recognize the limits of the analysis; and

  • Application / Creation: Solve concrete and abstract problems across multiple disciplines.

Summarize data using charts, graphs, histograms, and calculate basic descriptive statistics like the mean, standard deviation, median, and quartiles.

Work with the normal distribution and use z-score tables to find probabilities.

Understand the difference between correlation and causation.

Perform rudimentary regression analysis and compute correlation.

Understand the Central Limit Theorem and the normality assumption.

Understand the basics of tests of significance and confidence intervals including z-tests, t-tests, pro- portion tests, χ2 tests, ANOVA, and non-parametric tests.