Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Faculty of Science
  • Department of Statistics
  • Course Structure Diagram with Credits
  • Fundamental Statistics I
  • Learning Outcomes
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

  • Will be able to explain the principal concepts about Statistics.
  • Defines statistics and the principal concepts used in statistics.
  • Explains measurement and types of scales.
  • Creates the appropriate frequency distribution for the available data set.
  • Makes the graphical representation of the available data set.
  • Will be able to calculate descriptive statistics from the data relating to variable/variables which will be axamined.
  • Calculates the measures of central tendency.
  • Calculates the measures of variability.
  • Explains the concepts of asymmetry and symmetry.
  • Calculates some statistical rates by the measures of central tendency and variability.
  • Will be able to solve problems related to fundamental probability concepts and distributions.
  • Explains some fundamental concepts about probability.
  • Explains the methods of probability calculation.
  • Calculates the probability of the events.
  • Calculates the conditional probabilities.
  • Calculates probabilities for the binomial and normal distributions.
  • Will be able to perform about sampling and hypothesis testing.
  • Explains the sampling process and methods.
  • Makes point and interval estimates.
  • Applies hypothesis tests for the population mean and proportion and one-way analysis of variance.

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