Statistical Inference for Scientists
This is a course in statistical methods for science students. Emphasis centers on the practical application of statistical inference and estimation in the quest for scientific knowledge. Topics include exploratory data analysis, techniques for data collection, summarization, and presentation, graphical techniques and numerical measures, the role of the Normal distribution, regression and correlation analysis, confidence intervals, hypothesis testing, the analysis of variance, and distribution-free methods.
Prerequisite: MATH A257 or equivalent
Corequisite: MATH A261
For information about Loyola's Summer Session, call (504) 865-3530 or e-mail email@example.com.
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