Apr 06, 2026  
2026-2027 Catalog (BETA) Cal State East Bay 
    
2026-2027 Catalog (BETA) Cal State East Bay
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STAT 620 - Probability and Statistical Theory


Units: 4
Probability and Statistical models used in many areas. Probability concepts, conditional probability, probability models (discrete, continuous, univariate, and multivariate), sampling and sampling distributions, expectation and variance, simulation, and point estimation.

Prerequisites: Admission to M.S. Statistics major or M.S. Biostatistics program.
Possible Instructional Methods: On-ground, or Hybrid, or Online-Asynchronous.
Grading: A-F grading only.
Student Learning Outcomes - Upon successful completion of this course students will be able to:
 

  1. Derive and understand the theory of point and interval estimation and hypothesis testing.
  2. Formulate and model practical problems for solutions using these statistical methodologies.
  3. Produce relevant computer output using standard statistical software and interpret results appropriately.
  4. Communicate statistical concepts and analytical results clearly and appropriately to others.




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