Anadolu Info Package Anadolu Info Package
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Profile of the Programme Specific Admission Requirements Qualification Requirements and Regulations Recognition of Prior Learning Educational Staff Programme Director & ECTS Coord. Field Qualifications Key Learning Outcomes Course Structure Diagram with Credits Matrix of Program Outcomes&Field Qualifications Matrix of Course& Program Qualifications Examination Regulations, Assessment and Grading Graduation Requirements Access to Further Studies Occupational Profiles of Graduates
  • Faculty of Education
  • Department of Mathematics and Science Education
  • Program in Primary School Mathematics Teaching
  • Course Structure Diagram with Credits
  • Statistics
  • Learning Outcomes
  • Description
  • Content
  • Learning Outcomes
  • Learning Activities and Teaching Methods
  • Course's Contribution to Prog.
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  • Define the principal concepts about statistics.
  • Recognize the definition of statistics, its subject and its relation with the other sciences.
  • Explain the principal concepts about statistics.
  • Express measurement and scales in statistics.
  • Prepare frequency distributions and statistical graphs.
  • Collect raw data and prepare statistical tables.
  • Prepare and interpret convenient graphs for collected data.
  • Calculate descriptive statistics from the data belonging to variable/variables which will be examined.
  • Calculate central tendency measures from the data relating to variable/variables.
  • Calculate variability measures from the data belonging to variable/variables.
  • Solve the problems of the Normal and the Binomial distributions.
  • Explain the features of the Normal distribution.
  • Calculate requested probabilities via the Normal distribution.
  • Explain the features of the Binomial distribution.
  • Calculate requested probabilities via the Binomial distribution.
  • Formulate the interval estimations of the parameters.
  • Define the sampling distributions.
  • Formulate the confidence intervals of population parameters.
  • Estimate the parameters via interval estimation.
  • Apply hypothesis testing via some of the statistical distributions.
  • Define some concepts about hypothesis testing.
  • Apply hypothesis testing to the obtained data through these concepts.
  • Arrange the results of the hypothesis testing and make a statistical decision.
  • Apply regression and correlation analysis.
  • Able to explain regression and correlation.
  • Able to do regression analysis.
  • Able to interpret the correlation.

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