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
  • Sampling
  • Learning Outcomes
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

  • define principal concepts about sampling.
  • Explains the advantages of sampling.
  • Lists the stages of sampling process.
  • Categorizes and defines the sampling methods.
  • apply the Simple Random Sampling (SRS) method.
  • Expresses sample select process on SRS.
  • Formulates and calculates the estimators of population mean, population total, population ratio of two variables, the percentage and the total number of units in the population that possess some characteristic.
  • Identifies and interprets condifence intervals via variance estimates of the estimators.
  • Estimates the convenient sample size for SRS method.
  • apply the Stratified Sampling method.
  • Explains the necessity of the method for given different situations.
  • Applies the simple estimation method in Stratified Sampling.
  • Composes the optimum allocation of the sample size to stratum.
  • Compares SRS and Stratified Random Sampling methods.
  • Calculates required sample size for the estimators in Stratified Random Sampling.
  • Applies the Ratio Estimation method for SRS and Stratified Random Sampling.
  • apply the Systematic Sampling (SS) and Cluster Sampling (CS) methods.
  • Expresses sample select process on SS and CS methods.
  • Relates SS to the other sampling method.
  • Estimates the parameters using SS method.
  • Applies SS method to strata.
  • Estimates the parameters for equal and unequal cluster sizes.

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