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.
Letter Grade Only
- Lecture hours/semester: 64-72
- TBA hours/semester: 16-18
- Homework hours/semester: 112-126
Prerequisites: MATH 120 or MATH 123 or MATH 190 or appropriate placement test score and other measures
as appropriate, or equivalent.
AA/AS Degree Requirements: 3b; Area 9B1
(CSU GE Area B4), UC (IGETC Area 2A)
C-ID: MATH 110