STAT 300 - Introduction to Statistics

Recent Professors: Peter J. Kiteck, Sooraj Suresh, Adrianne Avila, Francisco Chima Sanchez, Karsten Stemmann, Thomas F. Rutaganira, Lana Anishchenko, Aileen Halseth and 14 more
Recent Semesters: Summer 2025, Spring 2025
Class Size: Not published
Difficulty: 6.2Demandingout of 10
Credits: 4
Prerequisite: Placement as determined by the college's multiple measures assessment process or completion of a course taught at or above the level of intermediate algebra.
Summer 2025 Sections: View Summer 2025 sections of STAT 300
Transfers To: Not transferable
Description: This course was formerly known as STAT 300 Introduction to Probability and Statistics. This course is an introduction to statistical thinking and processes, including methods and concepts for discovery and decision-making using data. Topics include descriptive statistics; probability and sampling distributions; statistical inference; correlation and linear regression; analysis of variance, chi-squared, and t-tests; and application of technology for statistical analysis including the interpretation of the relevance of the statistical findings. Students apply methods and processes to applications using data from a broad range of disciplines. Statistical analysis using a statistical software package such as, but not limited to, StatCrunch, R, SAS, SPSS, EXCEL, Minitab, Desmos, and/or graphing calculators is required. This course was formerly known as STAT 300 and is not open to students who have successfully completed STAT 300, 480, or C1000H.
Usually Held: Mon Tue Wed Thu 1:30pm–3:35pm, Mon Wed 10:30am–12:35pm, Mon Wed 12:00pm–2:05pm, Mon Wed 12:45pm–2:50pm