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MS-C1620 - Statistical inference, 07.01.2020-08.04.2020

This course space end date is set to 08.04.2020 Search Courses: MS-C1620

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Syllabus
 

Lectures

  • Lectures

    Lectures

    The course lectures are on Thursdays at 8.15-10.00, usually in lecture hall E of Undergraduate Centre (Otakaari 1). See below for details and exceptions. Changes are possible.

    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.

    Lecture plan
    Lecture    Day (room)
    Planned topic, slides
        Note   
    Lecture slides
    updated
    Example code
    L1
    9.1.
    Descriptive statistics

    9.1.
    L1 code
    L2 16.1.
    Confidence intervals and hypothesis testing  
    Slide sections 3&4 (t and var tests) were left for next lecture.

    Extra slides for a parametric CI example.
       
    16.1. L2 code
    L3 23.1. hall D  
    Non-parametric tests
    We started from t tests (see above) and got to the end of nonparametric tests (more or less).   
    23.1.
    L3 code
    L4
    30.1.
    Inference for binary data
    Self-study from slides and code. (Lecture cancelled)
    28.1. L4 code
    L5
    6.2.
    Distribution tests

    5.2.
    L5 code
    L6
    13.2.
    Correlation and dependence

    12.2. L6 code
    L7
    27.2.
    Linear regression I

    27.2.
    L7 code
    L8
    5.3.
    Guest lecture (real-world statistics)
      Details of simple linear regression (blackboard, no slides).
      Kernel regression / local linear regression.
      Guest lecture by Elina Numminen (EnvStat, Univ of Helsinki)

    L8 code
    L9
    12.3.
    Linear regression II


    L9 code
    L10
    19.3.
    Linear regression III
      Slides for CV extra example.
      Lecture video: part1, part2, part3. 
     19.3.
    L10 code
    L11
    26.3.
    ANOVA
      Lecture video: part1, part2, part3, part4.
     26.3. L11 code
    L12 2.4.
    Summary lecture or TBA
      No lecture; self-study with R examples recommended (see on the right)
      L12 code


    • 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
      FileL4 code File
      Text file
    • icon for activity
      FileL3 code File
      Text file
    • icon for activity
      FileL2 code File
      Text file
    • icon for activity
      FileL1 code File
      Text file
    • icon for activity
      FileDistribution tests File
      PDF document
    • icon for activity
      FileL5 code File
      Text file
    • icon for activity
      FileCorrelation and dependence File
      PDF document
    • icon for activity
      FileLinear regression I File
      PDF document
    • icon for activity
      FileL7 code File
      Text file
    • icon for activity
      FileL6 code File
      Text file
    • icon for activity
      FileL8 code File
      Text file
    • icon for activity
      FileLinear regression II File
      PDF document
    • icon for activity
      FileL9 code File
      Text file
    • icon for activity
      FileLinear regression III File
      PDF document
    • icon for activity
      FileCV extra example File
      PDF document
    • icon for activity
      FileL10 code File
      Text file
    • icon for activity
      FileANOVA File
      PDF document
    • icon for activity
      FileL11 code File
      Text file
    • icon for activity
      FileL12 code File
      Text file

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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)
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