This course is a study of the scientific method and the role of probability and statistics in making inferences based on observed data. Topics include descriptive statistics, correlation and linear regression, the Method of Least Squares, probability, the binomial random variable, the normal random variable, sampling distributions, and statistical inference including single-sample estimation and single and two-sample hypothesis testing using the t, z, and X squared distributions. Students are required to develop and demonstrate literacy with current technology as it applies to the study of MTH 174. Prerequisite: Three (3) years of New York State Regents mathematics (or equivalent), Elementary Statistics (MTH 144), or College Algebra (MTH 155), or above. 3 cr. 3 Lec. (Per Departmental Standards Version of MTH 174 approved by Academic Affairs on 9/7/06).

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