MATH 092 - Descriptive Statistics with Algebra II

5 Credits
This course provides an introduction to statistics and algebra for non-STEM majors and is based on the Statway™ curriculum for teaching statistics with integrated algebra. This is the first quarter of two in the STATWAY sequence. This course covers concepts and methods of statistics with an emphasis on data analysis. Topics for this course include: exponential functions, solving linear equations, probability and introduction to logarithms. Application problems will be taken from numerous fields. This sequence is recommended for students with majors that require no mathematics beyond freshman-level statistics. Completion of the MATH 092 and MATH 136 sequence is equivalent to finishing a college level statistics course (such as MATH&146).

Course Outcomes

Summarize and describe data graphically using dot plots, histograms, data plots, scatterplots and boxplots.
Summarize and describe data numerically using mean, median, standard deviation and quartiles.
Analyze linear data graphically, numerically and symbolically.
Examine, use, and interpret bivariate data.
Identify the pitfalls of bad sampling methods; use real-life data sets to discuss and identify good sampling techniques.
Use properties of basic probability to compute the probabilities of normally distributed data sets.
Compute, interpret and estimate probability of simple events.
Use appropriate technology as a tool for quantitative analysis.
Identify and use sampling distribution models.
Discuss mathematical problems and write solutions in accurate mathematical language and notation.
Interpret mathematical solutions.