CANKIRI KARATEKIN UNIVERSITY Bologna Information System


  • Course Information
  • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Probability Theorem and Statistics BİL212 SPRING 3+0 C 5
    Learning Outcomes
    1- define the basic concepts of statistics
    2-calculate descriptive statistics used to summarize the data set
    3-calculate probability by using probability functions of discrete and continuous random variables
    4- use sampling distribution
    5-apply the Central Limit Theorem
    6- create interval estimation for various parameters
    7- test hypothesis for various parameters
    Prerequisites -
    Language of Instruction Turkish
    Responsible Assist. Prof. Dr. Efehan Ulaş
    Instructors -
    Assistants -
    Resources K1- Williem W. Hines, Douglas C. Monthgomery, Probability and Statistics in Engineering and Management Science. Third Edition, 1990. K2-DeGroot, Morris H., and Mark J. Schervish. Probability and Statistics. 3rd ed. Boston, MA: Addison-Wesley, 2002. ISBN: 0201524880. K3- Walpole R.E., Myers R.H., Myers Sh. L., Ye K. Probability and Statistics or Engineers and Scientists Prentice Hall, 7/E, 2002. K4- Akdeniz F., Olasılık ve İstatistik, Nobel Kitabevi, 13. Baskı, 2007.
    Supplementary Book -
    Goals to teach the basic concepts of probability and statistics.
    Content Statistical Science, Types of Statistical Applications, Basic Elements of Statistics, Data Types, Data Collection Methods, Measures of Central Tendency, Change Measures, Relative Status Measures, Sample Spaces and Events, Concepts of Junction and Intersection, Opposite Events Collection Rule and Mutual Discrete Events, Discrete random variables, Probability Distributions, Continuous Random Variables, Probability Density Function, Discrete Uniform Distribution, Bernoulli Distribution, Binomial Distribution, Hypergeometric Distribution, Poisson Distribution, Normal Distribution, Approximation of Binomial Distribution to Normal Distribution, Exponential Distribution, What is sampling distribution, Central Limit Theorem, Large and Small Sample Range Estimation and Hypothesis Testing for a Population Mean, Large Sample Range Estimation for Two Population Mean Large Sample Range Estimation for a Population Rate Large Sample Range Estimation for a Population, Large Sample Range Estimation for Two Population Ratio Large Sample Range Estimation for Two Population Variance Hypothesis Tests, Chi-square test
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