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Disciplina asociada:Matemáticas |
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Escuela:
Ingeniería y Ciencias
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Departamento Académico:
Ciencias
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Programas académicos: |
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Requisitos:No tiene. |
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Equivalencia:MA00128 ; MA99128 |
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Intención del curso en el contexto general del plan de estudios: |
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Curso básico que analiza las técnicas estadísticas más comunes que incluyen las herramientas descriptivas así como las utilizadas para realizar inferencias sobre parámetros de una o más poblaciones. Como resultado del aprendizaje el alumno podrá utilizar métodos paramétricos y no paramétricos para una o más poblaciones. |
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Objetivo general de la Unidad de Formación: |
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Al finalizar el curso el alumno será capaz de: - Utilizar las herramientas gráficas y estadísticos descriptivos para organizar información de acuerdo con las características de ésta. - Plantear las hipótesis estadísticas correspondientes a problemas prácticos reales, y utilizar los estadísticos convenientes al problema para sustentar o no las hipótesis de investigación y en consecuencia enunciar las decisiones estadísticas en el contexto del problema. |
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Técnica didáctica sugerida: |
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| No especificado | |||||
Bibliografía sugerida: |
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LIBROS DE TEXTO: * Devore, Jay L., Probability and statistics for engineering and the sciences, 7th. Edition, California : Belmont, Calif.; México: Brooks/Cole/Cengage Learning, 2009, eng, 0495557455, 9780495557456 LIBROS DE CONSULTA: * Wackerly, Dennis D., Mathematical statistics with applications, 6th. Edition, California : Pacific Grove, Calf.: Duxbury, 2002, eng, 0534377416 * Neter, John., Applied linear statistical models : regression, analysis of variance, and experimental designs / John Neter, William Wasserman, Michael H. Kutner., 3rd ed., Homewood, IL : Irwin, c1990., , 025608338X * Montgomery, Douglas C., Design and analysis of experiments / Douglas C. Montgomery., 8th ed., Hoboken, NJ : John Wiley & Sons, c2013., , 9781118146927 |
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Perfil del Profesor: |
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(270501)Doctorado en Estadística ; (270101)Doctorado en Matemáticas ; (270601)Doctorado en Estadística aplicada ; (270301)Doctorado en Matemáticas Aplicadas ; (143501)Doctorado en Ingeniería Industrial ; (143601)Doctorado en Ingeniería de Manufactura ; (307001)Doctorado en Ciencia de Datos ; (400101)Doctorado en Ciencias Físicas ; (400801)Doctorado en Física CIP: 270501, 270101, 270601, 270301, 143501, 143601, 307001, 400101, 400801 |
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Discipline:Mathematics |
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School:
Engineering and Sciences
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Academic Department:
Sciences
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Programs: |
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Prerequisites:None. |
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Equivalences:MA00128 ; MA99128 |
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Course intention within the general study plan context: |
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This introductory course analyzes the most common statistical techniques that include descriptive tools and uses them to carry out inferences on parameters of one or more populations. Learning outcome: the student will be able to use parametric and non-parametric models for one or more populations. |
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Course objective: |
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On completion of the course, students will be able to: - Use graphical tools and descriptive statistics to organize information according to its characteristics. - Present statistical hypotheses that correspond to actual practical problems and use statistics that suit the problems in order to support (or not) the hypothesis under investigation and, therefore, state the statistical decisions in the context of the problem. |
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Teaching and learning tecnique: |
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| Not Specified | |||||
Suggested Bibliography: |
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TEXT BOOKS: * Devore, Jay L., Probability and statistics for engineering and the sciences, 7th. Edition, California : Belmont, Calif.; México: Brooks/Cole/Cengage Learning, 2009, eng, 0495557455, 9780495557456 BOOKS FOR CONSULTATION: * Wackerly, Dennis D., Mathematical statistics with applications, 6th. Edition, California : Pacific Grove, Calf.: Duxbury, 2002, eng, 0534377416 * Neter, John., Applied linear statistical models : regression, analysis of variance, and experimental designs / John Neter, William Wasserman, Michael H. Kutner., 3rd ed., Homewood, IL : Irwin, c1990., , 025608338X * Montgomery, Douglas C., Design and analysis of experiments / Douglas C. Montgomery., 8th ed., Hoboken, NJ : John Wiley & Sons, c2013., , 9781118146927 |
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Academic credentials required to teach the course: |
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(270501)Doctoral Degree in Statistics ; (270101)Doctoral Degree in Mathematics ; (270601)Doctoral Degree in Applied Statistics ; (270301)Doctoral Degree in Applied Mathematics ; (143501)Doctoral Degree in Industrial Engineering ; (143601)Doctoral Degree in Manufacturing Engineering ; (307001)Doctoral Degree in Data Science, General ; (400101)Doctoral Degree in Physical Sciences ; (400801)Doctoral Degree in Physics CIP: 270501, 270101, 270601, 270301, 143501, 143601, 307001, 400101, 400801 |
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