Course Description
Introduction to basic statistical methods, descriptive statistics, classification
of data, probability, probability distributions, hypothesis testing, estimates and
sample sizes, correlation and regression, chi-square tests, and analysis of variance.
Use of technology to analyze data from business, life sciences, social sciences, psychology,
health science, education, and physical science.
Units: 3
Degree Credit
Letter Grade Only
- Lecture hours/semester: 48-54
- Homework hours/semester: 96-108
Prerequisites: MATH 120 or MATH 190 or equivalent.
Corequisites: None
Recommended: Eligibility for ENGL 100 or ENGL 105, or equivalent. BUS. 120 or equivalent.
AA/AS Degree Requirements: 3b; Area 9A3
Transfer Credit:
CSU
(CSU GE Area B4), UC (IGETC Area 2A)
C-ID: MATH 110