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discrete and continuous distributions, expected values, moments, moment generating functions, transformation of random variables, bivariate distributions, marginal and conditional distributions, independence, multivariate distributions, concept of random sample, and Central Limit Theorem.\n\n[(Prereq: MATH 320 or STAT 250 or STAT 100) and MATH 170 and MATH 250]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2254","crse_attr_list":"CSLI=N"},"2261":{"crse_id":"005014","subject":"STAT","catalog_nbr":"420","course_title_long":"Statistical Theory I","descrlong":"Theory focused probability tools for statistics: basic probability rules, description of discrete and continuous distributions, expected values, moments, moment generating functions, transformation of random variables, bivariate distributions, marginal and conditional distributions, independence, multivariate distributions, concept of random sample, and Central Limit Theorem.\n\n[(Prereq: MATH 320 or STAT 250 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probability rules, description of discrete and continuous distributions, expected values, moments, moment generating functions, transformation of random variables, bivariate distributions, marginal and conditional distributions, independence, multivariate distributions, concept of random sample, and Central Limit Theorem.\n\n[(Prereq: MATH 320 or STAT 250 or STAT 100) and MATH 170 and MATH 250]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2263","crse_attr_list":"CSLI=N"},"2264":{"crse_id":"005014","subject":"STAT","catalog_nbr":"420","course_title_long":"Statistical Theory I","descrlong":"Theory focused probability tools for statistics: basic probability rules, description of discrete and continuous distributions, expected values, moments, moment generating functions, transformation of random variables, bivariate distributions, marginal and conditional distributions, independence, multivariate distributions, concept of random sample, and Central Limit 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probability tools for statistics: basic probability rules, description of discrete and continuous distributions, expected values, moments, moment generating functions, transformation of random variables, bivariate distributions, marginal and conditional distributions, independence, multivariate distributions, concept of random sample, and Central Limit Theorem.\n\n[(Prereq: MATH 320 or STAT 250 or STAT 100) and MATH 170 and MATH 250]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2272","crse_attr_list":"CSLI=N"},"2273":{"crse_id":"005014","subject":"STAT","catalog_nbr":"420","course_title_long":"Statistical Theory I","descrlong":"Theory focused probability tools for statistics: basic probability rules, description of discrete and continuous distributions, expected values, moments, moment generating functions, transformation of random variables, bivariate distributions, marginal and conditional distributions, independence, multivariate distributions, concept of random sample, and Central Limit Theorem.\n\n[(Prereq: MATH 320 or STAT 250 or STAT 100) and MATH 170 and MATH 250]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2273","crse_attr_list":"CSLI=N"},"2274":{"crse_id":"005014","subject":"STAT","catalog_nbr":"420","course_title_long":"Statistical Theory I","descrlong":"Theory focused probability tools for statistics: basic probability rules, description of discrete and continuous distributions, expected values, moments, moment generating functions, transformation of random variables, bivariate distributions, marginal and conditional distributions, independence, multivariate distributions, concept of random sample, and Central Limit Theorem.\n\n[(Prereq: MATH 320 or STAT 250 or STAT 100) and MATH 170 and MATH 250]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2274","crse_attr_list":"CSLI=N"},"2281":{"crse_id":"005014","subject":"STAT","catalog_nbr":"420","course_title_long":"Statistical Theory 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multivariate distributions, concept of random sample, and Central Limit Theorem.\n\n[(Prereq: MATH 320 or STAT 250 or STAT 100) and MATH 170 and MATH 250]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2282","crse_attr_list":"CSLI=N"},"2283":{"crse_id":"005014","subject":"STAT","catalog_nbr":"420","course_title_long":"Statistical Theory I","descrlong":"Theory focused probability tools for statistics: basic probability rules, description of discrete and continuous distributions, expected values, moments, moment generating functions, transformation of random variables, bivariate distributions, marginal and conditional distributions, independence, multivariate distributions, concept of random sample, and Central Limit Theorem.\n\n[(Prereq: MATH 320 or STAT 250 or STAT 100) and MATH 170 and MATH 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discrete and continuous distributions, expected values, moments, moment generating functions, transformation of random variables, bivariate distributions, marginal and conditional distributions, independence, multivariate distributions, concept of random sample, and Central Limit Theorem.\n\n[(Prereq: MATH 320 or STAT 250 or STAT 100) and MATH 170 and MATH 250]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2291","crse_attr_list":"CSLI=N"},"2292":{"crse_id":"005014","subject":"STAT","catalog_nbr":"420","course_title_long":"Statistical Theory I","descrlong":"Theory focused probability tools for statistics: basic probability rules, description of discrete and continuous distributions, expected values, moments, moment generating functions, transformation of random variables, bivariate distributions, marginal and conditional distributions, independence, multivariate distributions, concept of random sample, and Central Limit Theorem.\n\n[(Prereq: MATH 320 or STAT 250 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probability rules, description of discrete and continuous distributions, expected values, moments, moment generating functions, transformation of random variables, bivariate distributions, marginal and conditional distributions, independence, multivariate distributions, concept of random sample, and Central Limit Theorem.\n\n[(Prereq: MATH 320 or STAT 250 or STAT 100) and MATH 170 and MATH 250]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2294","crse_attr_list":"CSLI=N"},"2301":{"crse_id":"005014","subject":"STAT","catalog_nbr":"420","course_title_long":"Statistical Theory I","descrlong":"Theory focused probability tools for statistics: basic probability rules, description of discrete and continuous distributions, expected values, moments, moment generating functions, transformation of random variables, bivariate distributions, marginal and conditional distributions, independence, multivariate distributions, concept of random sample, and Central Limit Theorem.\n\n[(Prereq: MATH 320 or STAT 250 or STAT 100) and MATH 170 and MATH 250]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2301","crse_attr_list":"CSLI=N"},"2302":{"crse_id":"005014","subject":"STAT","catalog_nbr":"420","course_title_long":"Statistical Theory I","descrlong":"Theory focused probability tools for statistics: basic probability rules, description of discrete and continuous distributions, expected values, moments, moment generating functions, transformation of random variables, bivariate distributions, marginal and conditional distributions, independence, multivariate distributions, concept of random sample, and Central Limit Theorem.\n\n[(Prereq: MATH 320 or STAT 250 or STAT 100) and MATH 170 and MATH 250]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2302","crse_attr_list":"CSLI=N"},"2303":{"crse_id":"005014","subject":"STAT","catalog_nbr":"420","course_title_long":"Statistical Theory I","descrlong":"Theory focused probability tools for statistics: basic probability rules, description of discrete and continuous distributions, expected values, moments, moment generating functions, transformation of random variables, bivariate distributions, marginal and conditional distributions, independence, multivariate distributions, concept of random sample, and Central Limit Theorem.\n\n[(Prereq: MATH 320 or STAT 250 or STAT 100) and MATH 170 and MATH 250]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2303","crse_attr_list":"CSLI=N"},"2304":{"crse_id":"005014","subject":"STAT","catalog_nbr":"420","course_title_long":"Statistical Theory I","descrlong":"Theory focused probability tools for statistics: basic probability rules, description of discrete and continuous distributions, expected values, moments, moment generating functions, transformation of random variables, bivariate distributions, marginal and conditional distributions, independence, multivariate distributions, concept of random sample, and Central Limit Theorem.\n\n[(Prereq: MATH 320 or STAT 250 or STAT 100) and MATH 170 and MATH 250]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2304","crse_attr_list":"CSLI=N"},"2311":{"crse_id":"005014","subject":"STAT","catalog_nbr":"420","course_title_long":"Statistical Theory I","descrlong":"Theory focused probability tools for statistics: basic probability rules, description of discrete and continuous distributions, expected values, moments, moment generating functions, transformation of random variables, bivariate distributions, marginal and conditional distributions, independence, multivariate distributions, concept of random sample, and Central Limit Theorem.\n\n[(Prereq: MATH 320 or STAT 250 or STAT 100) and MATH 170 and MATH 250]","units_minimum":"4","units_maximum":"4","crse_offer_nbr":"1","term":"2311","crse_attr_list":"CSLI=N"}}