Introduction to descriptive techniques and methods of inference. Includes: classification
of data, measures of central tendency and dispersion, normal curve, hypothesis testing,
correlation and regression analysis, trend analysis. Also provides an introduction
to probability and probability distributions.
Letter Grade Only
- Lecture hours/semester: 48-54
- Homework hours/semester: 96-108
Prerequisites: MATH 120 or equivalent.
Recommended: BUS. 120 or equivalent.
AA/AS Degree Requirements: Area 9B1
(CSU GE Area B4), UC (IGETC Area 2A)