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MS-C1620 - Statistical Inference, Lecture, 10.1.2022-13.4.2022

This course space end date is set to 13.04.2022 Search Courses: MS-C1620

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Syllabus
 

Lectures

  • Lectures

    Lectures

    The course lectures are on Thursdays at 8.15-10.00 online via this Zoom link. We will also try to record the lectures so you can watch them afterwards.

    In column "Planned topic", you find the slides for the planned lecture. Actual lectures may run faster or slower. If the actual lectures are lagging behind, you may want to read the slides on your own, for example, if you need tools for the exercises. Until updated, slides from previous year are available here.

    Lecture plan
    Lecture    Day
    Planned topic, slides
        Note   
    Lecture slides
    updated
    Example code
    L1
    13.1.
    Descriptive statistics
    recording, Q&A 
     12.1.
    L1 code
    L2 20.1.
    Confidence intervals and hypothesis testing  
    recording,

    L2 code
    L3 27.1.  
    Non-parametric tests (distribution-free)
    recording, Q&A
     27.1.
    L3 code
    L4
    3.2.
    Inference for binary data
    recording, extra slides
     3.2.
    L4 code
    L5
    10.2.
    Distribution tests
    recording

    L5 code
    L6
    17.2.
    Correlation and dependence
    No online lecture, see recording →
    recording (old)

    L6 code
    L7
    3.3.
    Linear regression I
    recording
     3.3.
    L7 code
    L8
    10.3.
    Linear regression II
    recording, Q&A
     9.3.
    L8 code + Matlab demo
    L9
    17.3.
    Linear regression III,
    Model complexity and Cross validation
    recording
     17.3.
    L9 code
    L10
    24.3.
    ANOVA
    recording
     24.3.
    L10 code
    L11
    31.3.
    Kernel regression
    recording
     31.3.
    L11 code
    L12 7.4.
    Reflection groupwork, Miro board
    groupwork results




    • icon for activity
      FileDescriptive statistics File
      PDF document
    • icon for activity
      FileConfidence intervals and hypothesis testing File
      PDF document
    • icon for activity
      Fileparametric CI example File
      PDF document
    • icon for activity
      FileNon-parametric tests File
      PDF document
    • icon for activity
      FileInference for binary data File
      PDF document
    • icon for activity
      FileDistribution tests File
      PDF document
    • icon for activity
      FileCorrelation and dependence File
      PDF document
    • icon for activity
      FileLinear regression I File
      PDF document
    • icon for activity
      FileLinear regression II File
      PDF document
    • icon for activity
      FileLinear regression III File
      PDF document
    • icon for activity
      FileANOVA File
      PDF document
    • icon for activity
      FileL1 code File
      Text file
    • icon for activity
      FileL3 code File
      Text file
    • icon for activity
      FileL2 code File
      Text file
    • icon for activity
      FileL4 code File
      Text file
    • icon for activity
      FileL5 code File
      Text file
    • icon for activity
      FileL6 code File
      Text file
    • icon for activity
      FileL7 code File
      Text file
    • icon for activity
      FileL8 code File
      Text file
    • icon for activity
      FileL9 code File
      Text file
    • icon for activity
      FileL10 code File
      Text file
    • icon for activity
      FileL11 code File
      Text file
    • icon for activity
      FileL12 code File
      Text file
    • icon for activity
      FileL3 extra code File
      Text file

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  • MS-C1620 - Statistical Inference, Lecture, 10.1.2022-13.4.2022
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  • Schools
    • School of Arts, Design, and Architecture (ARTS)
    • School of Business (BIZ)
    • School of Chemical Engineering (CHEM)
    • –sGuides for students (CHEM)
    • – Instructions for report writing (CHEM)
    • School of Electrical Engineering (ELEC)
    • School of Engineering (ENG)
    • School of Science (SCI)
    • Language Centre
    • Open University
    • Library
    • Aalto university pedagogical training program
    • UNI (exams)
    • Sandbox
  • Service Links
    • MyCourses
    • - MyCourses instructions for Teachers
    • - MyCourses instructions for Students
    • - Teacher book your online session with a specialist
    • - Digital tools for teaching
    • - Personal data protection instructions for teachers
    • - Workspace for thesis supervision
    • Sisu
    • Student guide
    • Courses.aalto.fi
    • Library Services
    • - Resourcesguides
    • - Imagoa / Open science and images
    • IT Services
    • Campus maps
    • - Search spaces and see opening hours
    • Restaurants in Otaniemi
    • ASU Aalto Student Union
    • Aalto Marketplace
  • ALLWELL?
    • Study Skills
    • Guidance and support for students
    • Starting Point of Wellbeing
    • About AllWell? study well-being questionnaire
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