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Reinhard Furrer

Universität Zürich

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  • t-distribution, 02
    7:31
  • 00, Introduction
    0:58
  • Expectation and variance, 02
    7:41
  • Continuous RV, 02
    5:51
  • Discrete RV, 02
    4:18
  • Random variables, 02
    5:06
  • QQ-plots, 01
    9:03
  • Boxplot and violin plot, 01
    6:06
  • Histograms, 01
    7:14
  • 01, Storing data
    3:59
  • 01, Constructing good graphics
    5:33
  • 01, Types of data
    5:38
  • 01, Structure of data
    5:39
  • 01, Data analysis workflow
    4:12
  • 144 Ende, MAT132
    36:26
  • 142 Regeln, MAT132
    28:17
  • 141 Beispiel, MAT132
    22:44
  • 143 Helmholz, MAT132
    33:16
  • 132 Stokes: Beispiele und Bemerkungen, MAT132
    42:42
  • 133 Stokes Beweis, MAT132
    33:38
  • 131 Stokes, MAT132
    22:07
  • 126 Gauss: Beweis, MAT132
    34:25
  • 124 Gauss 2: Fluss Divergenz, MAT132
    24:30
  • 124 Gauss 1: Motivation, MAT132
    25:22
  • 123 Green Beweis, MAT132
    37:35
  • 122 Green: Zerlegung der Einheit, MAT132
    30:48
  • 121 Green Introduction, MAT132
    13:53
  • 117 Rotation 2, MAT132
    44:08
  • 116 Rotation 1, MAT132
    33:53
  • 113 Operationen, MAT132
    1:24
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