ࡱ>  bjbj"K"K 4@!`@!`K,,$$%%%"%"%"%8Z%t%4"%qYX(((@(@(@(x0>00 XXXXXXX$]`Y%0V0"x000Y$$@(@(+YL7L7L70j$8@(%@(XL70XL7L7 will be able to: PLO 1 鶹AV statistical methodologies, including a)descriptive statistics and graphical displays, b)probability models for uncertainty, stochastic processes, and distribution theory, c)hypothesis testing and confidence intervals, d)ANOVA and regression models (including linear, and multiple linear) and analysis of residuals from models and trends at the Masters level. PLO 2 Derive basic theory underlying these methodologies.PLO 3Model practical problems for solutions using these methodologies.PLO 4 Produce relevant computer output using standard statistical software and interpret the results appropriately. PLO 5 Communicate statistical concepts and analytical results clearly and appropriately to others; and,PLO 6Employ theory, concepts, and terminology at a level that supports lifelong learning of related methodologies.  Year 1: 2020-2021Which PLO(s) to assess PLO 1  Is it aligned to an ILO?Yes If yes, list ILO.Thinking and Reasoning Course name and numberSTAT 692 Comprehensive ExamSLO from course鶹AV statistical methodologies, including a) descriptive statistics and graphical displays, b) probability models for uncertainty, stochastic processes, and distribution theory, c) hypothesis testing and confidence intervals, d) ANOVA and regression models (including linear, and multiple linear) and analysis of residuals from models and trendsAssessment activityWritten Comprehensive ExamAssessment InstrumentGrades from examHow data will be reportedQuantitative, proportions of students in each category from 1-5 (5 mastered)Responsible person(s)STAT 692 instructor, Assessment RepTime (which semester(s))Fall and SpringWays of closing the loopIncluded in end-of year report and internal assessment of PLOs.Year 2: 2021-2022Which PLO(s) to assess PLO 2 & PLO 3 & 4  Is it aligned to an ILO?No If yes, list ILO.Course name and numberSTAT 692 Comprehensive ExamSLO from courseDerive and understand basic theory underlying these methodologies Formulate and model practical problems for solutions using these methodologies Produce relevant computer output using standard statistical software and interpret the results appropriatelyAssessment activityWritten Comprehensive ExamAssessment InstrumentGrades from examHow data will be reportedQuantitative, proportions of students in each category from 1-5 (5 mastered)Responsible person(s)STAT 692 instructor, Assessment RepTime (which semester(s))Fall and SpringWays of closing the loopIncluded in end-of year report and internal assessment of PLOs.Year 3: 2022-2023Which PLO(s) to assess PLO 5  Is it aligned to an ILO?Yes If yes, list ILO.CommunicationCourse name and numberSTAT 632 Linear and Logistics RegressionSLO from courseCommunicate statistical concepts clearly and appropriately to others.Assessment activityWritten project reportAssessment InstrumentDepartmental Rubric for written communicationHow data will be reportedQuantitatively, proportions of students in each category from 1-5 (5 mastered)Responsible person(s)STAT 632 Instructor, Assessment RepTime (which semester(s))Spring 2023Ways of closing the loopIncluded in end-of year report and internal assessment Year 4: 2023-2024Which PLO(s) to assess PLO 6  Is it aligned to an ILO?NoIf yes, list ILO.Course name and numberSTAT 692 Comprehensive ExamSLO from courseUnderstand theory, concepts, and terminology at a level that supports lifelong learning of related methodologies.Assessment activityWritten Comprehensive ExamAssessment InstrumentGrades from examHow data will be reportedQuantitative, proportions of students in each category from 1-5 (5 mastered)Responsible person(s)STAT 692 instructor, Assessment RepTime (which semester(s))Fall and SpringWays of closing the loopIncluded in end-of year report and internal assessment of PLOs.Year 5: 2024-2025Which PLO(s) to assess PLO 1  Is it aligned to an ILO?Yes If yes, list ILO.Thinking and Reasoning Course name and numberSTAT 692 Comprehensive ExamSLO from course鶹AV statistical methodologies, including a) descriptive statistics and graphical displays, b) probability models for uncertainty, stochastic processes, and distribution theory, c) hypothesis testing and confidence intervals, d) ANOVA and regression models (including linear, and multiple linear) and analysis of residuals from models and trendsAssessment activityWritten Comprehensive ExamAssessment InstrumentGrades from examHow data will be reportedQuantitative, proportions of students in each category from 1-5 (5 mastered)Responsible person(s)STAT 692 instructor, Assessment RepTime (which semester(s))Fall and SpringWays of closing the loopIncluded in end-of year report and internal assessment of PLOs.     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