LHC beauty

Erazmus

Introduction to Probability, Statistics and Data Handling: winter semester 2017-18

NEWS

  • 10.01 lecture and lab
  • 17.01 9:40 tutorial and 11:20 lab

  • TUTORIALS
    Wednesday 11:20-12:50
    D-10/225
    11.10 Basic Definition and Concepts
    Tutorial_1.pdf
    18.10 Conditional Probability, Bayes Theorem
    Tutorial_2.pdf
    25.10 Discrete random variable
    Tutorial_3.pdf
    8.11 Continuous random variable, joint distributions
    Tutorial_4.pdf
    15.11 Probability distributions
    Tutorial_5.pdf
    29.11 Probability distributions Tutorial_5.pdf (cont.)
    Normal distribution Tutorial_6.pdf
    6.12 Confidence intervals (+test)
    Tutorial_6.pdf
    17.01 Confidence intervals and hypotheses testing (+test)
    Tutorial_7.pdf

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