Probability & Statistics I

Catalog description

Elementary probability theory with applications; random variables; distributions including a thorough discussion of the binomial, and normal distributions; central limit theorem; histograms; sampling distributions; confidence intervals; tests of hypotheses; linear models; regression and correlation; chi-square test; non-parametric statistics. 1110 is a prerequisite for 1120. These courses do not count toward the Mathematics B.S. requirement in SSE. MATH 1110 is mutually exclusive with MATH 1230 . Students may receive credit for only one of MATH 1110 or 1230 in the undergraduate degree.