Exploring and Understanding Data (Math 107)

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Students will be able to:

  • read and interpret graphical and tabular displays of data, and make estimations

  • create tables, charts, graphs, and histograms to represent data graphically, using various tools such as spreadsheets and graphing calculators

  • evaluate and interpret descriptive statistics that describe a data set, including measures of central tendency (e.g. mean, median) and dispersion (e.g. range, standard deviation)

  • calculate empirical probabilities of events

  • compute and interpret z-scores for normally-distributed data, and use them to find probabilities

  • describe the relationship between two variables graphically (scatterplot) and establish an association between them

  • create and interpret linear models of data

  • work with linear regression models using calculators and/or spreadsheets

  • use the techniques and tools learned in this course to represent quantitative data encountered in other courses or found in public databases


Section information and links to instructor class webpages are found here.

Math 107


Students must meet eligibility requirements.

See the current Math Course Placement Chart here.


The following course materials are required for Math 107:

Math 107 How-to Videos


The SPECIFIC Course Policy for your Math 107 section should be made available to you by your instructor.

General policies are given below for Spring 2022:

  • Math 107 (15wk In-Person) Course Policies

  • Math 107 (7wk Online) Course Policies

(refer to your instructor's specific section policies if you are registered for the class)


Choose the correct calendar for your section's class meeting schedule:

  • Spring 2022 Math 107 Course Calendar (15wk In-Person)

  • Spring 2022 Math 107 Course Calendar (7wk Online)


A common comprehensive final exam will be given for all sections of Math 107 on Thursday, May 12th from 1:00pm - 3:00pm.

See instructor or syllabus for more details regarding your final exam.

  • Final Exam Room Locations (Spring 2022) TBD