CANKIRI KARATEKIN UNIVERSITY Bologna Information System


  • Course Content
  • Week Topics Study Metarials
    1 Introduction to statistics, definitions and data presentation R1, Section 1
    2 Summary measures R1, Section 2
    3 Introduction to probability and probability axioms R1, Section 3
    4 Permutation and combination R1, Section 4
    5 Conditional probability and the multiplication rule R1, Section 5
    6 Independent events and Bayes Theorem R1, Section 6
    7 Discrete probability distributions and random variables R1, Section 7
    8 Expectation and variance for discrete random quantities R1, Section 8
    9 Binomial distribution R1, Section 9
    10 Poisson distribution R1, Section 10
    11 Continuous probability models, probability density function and cumulative distribution function R1, Section 11
    12 Properties of continuous random quantities and uniform distribution R1, Section 12
    13 The exponential distribution and the normal distribution R1, Section 13
    14 Normal approximation of binomial and Poisson R1, Section 14
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