Exploring and Understanding Data
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
SECTIONS AND INSTRUCTORS
Section information and links to instructor class webpages are found here.
Students must meet eligibility requirements.
See the current Math Course Placement Chart here.
The following course materials are required for Math 107:
A Pathway to Introductory Statistics- 2nd Edition (see Inclusive Access info here)
MyMathLab (accessed through D2L)
Graphing Calculator -- See this link for allowed calculators.
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 2023:
(refer to your instructor's specific section policies if you are registered for the class)
Choose the correct general calendar for your section's modality:
COMMON FINAL EXAM
A common comprehensive final exam will be given for all sections of Math 107 on Thursday, May 11th from 1:00 - 3:00 pm.
See instructor or syllabus for more details regarding your final exam.