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: Intermediate Algebra or Pre statistics or placement as determined by multiple measures
or equivalent
Corequisites: None
Recommended: Eligibility for ENGL C1000 or ENGL C1000E, or equivalent. BUS. 120 or equivalent.
AA/AS Degree Requirements: Area 2
Transfer Credit:
CSU, UC, (Cal-GETC Area 2)
C-ID: MATH 110