Course Description
Basic concepts underlying statistical methods and covers descriptive statistics, probability,
probability distributions, hypothesis testing, estimates and sample sizes, correlation
and regression, chi–square tests, and analysis of variance. Computer analysis of statistical
data is integrated into the course. Applications of statistics to business, life sciences
and other areas are included.
Units: 4
Degree Credit
Letter Grade Only
- Lecture hours/semester: 64-72
- Homework hours/semester: 128-144
- Total Student Learning hours/semester: 192-216
Prerequisites: Intermediate Algebra or equivalent or pre-statistics or placement by college approved
multiple measures
Corequisites: None
AA/AS Degree Requirements: 3b; Area 9A3
Transfer Credit:
CSU
(CSU GE Area B4), UC (IGETC Area 2A)
C-ID: MATH 110