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    | MINE3012 | Statistical analysis | 2+1+0 | ECTS:4 |  | Year / Semester | Spring Semester |  | Level of Course | First Cycle |  | Status	 | Compulsory |  | Department | DEPARTMENT of MINING ENGINEERING |  | Prerequisites and co-requisites | None |  | Mode of Delivery | Face to face, Practical |  | Contact Hours | 14 weeks - 2 hours of lectures and 1 hour of practicals per week |  | Lecturer | Prof. Dr. Ferdi CİHANGİR |  | Co-Lecturer | None |  | Language of instruction |  |  | Professional practise ( internship )	 | None |  |   |   | The aim of the course: |  | To give an introduction to decision making processes, statistical approach to geological problems and geostatistics. |  
 |  Learning Outcomes | CTPO | TOA |  | Upon successful completion of the course, the students will be able to : |   |    |  | LO - 1 :  | prepare graphical presentation of any kind of data | 1.1 - 1.2 - 1.3 - 2.2 - 3.2 - 5.3 | 1,3 |  | LO - 2 :  | arrange and interpret geological data | 1.1 - 1.2 - 1.3 - 2.2 - 3.2 | 1,3 |  | LO - 3 :  | solve the geological problems using statistical methods | 1.1 - 1.2 - 1.3 - 5.2 - 5.3 | 1,3 |  | LO - 4 :  | explain the way of formation of geological events usin probabilty theories | 1.2 - 1.3 - 5.3 | 1,3 |  | LO - 5 :  | predict the unknown geological events using statistical data | 1.2 - 2.2 - 5.3 | 1,3 |  | LO - 6 :  | Contribuite the problem solving abilities of the students | 1.2 - 1.3 - 5.3 | 1,3 |  | LO - 7 :  | Design ore deposits mining models | 1.2 - 1.3 - 6.2 | 1,3 |  | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam,  3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation,  6: Term paper), LO : Learning Outcome   |  |   |    
			 | Graphical presentation of data: Histograms; Frequency curves; Pie diagrams; Box plots; Statistics: Descriptive methods; Probabilities; Sampling distributions; Testing of hypotheses; Small sampling theory; Chi-square tests; Curve fitting and the method of least squares; Single regressions; Correlation theory; Anaysis of variance; |  
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 | Course Syllabus |  |  Week | Subject | Related Notes / Files |  |  Week 1 | Introduction to statistics, Statistical concepts (Population, sample, variable, data, measurement), Type of statistic |  |  |  Week 2 | Summarizing data - Frequency Distributions and Graphic Presentation Construction of a frequency tables, histogram, frequency polygon, cumulative frequency polygon, pie charts |  |  |  Week 3 | Measures of Central Tendency (Arithmetic mean, geometric mean weighed mean, median, mode) |  |  |  Week 4 | Distribution Parameters (Measures of dispersion and skewness, Variance, Standard deviation, Skewness and Kurtosis, Quartiles, Percentile range) |  |  |  Week 5 | Probability, 
Principles of probability (Addition rule, Multiplication rule) Probability trees, Bayes theorem, Mathematical expectation, Permutation, Combination
 |  |  |  Week 6 | Probability distributions
The Binominal Distribution, The normal distribution and it's standardised form the standardised normal distriburtion
 |  |  |  Week 7 | Sampling and statistical estimation theory, Some important sample properties, The distriibution of sample means, the central limit theorem |  |  |  Week 8 | Mid-term exam |  |  |  Week 9 | The sample variance, Estimation of population parameters |  |  |  Week 10 | The Z-test |  |  |  Week 11 | Student's t Test, Degrees of freedom, T tables, One sample T Test, Independent samples T Test, Paired samples T Test |  |  |  Week 12 | The chi-square test |  |  |  Week 13 | The F Test, Analysis of variance, The F distribution, ANOVA, Two way analysis of variance,  Test of Hartley Maximum and Cochran |  |  |  Week 14 | Correlation-Simple correlation, Scatter diagrams, calculating the coefficient of correlation, testing the significance of the coefficient of correlation |  |  |  Week 15 | Simple regression analysis, table of regression analysis, drawing the line of regression |  |  |  Week 16 | End-of-term exam |  |  |   |   
 | 1 | Tüysüz, N., Yaylalı, G. 2005; Jeoistatistik- Kavramlar ve bilgisayar uygulamalar, KTÜ yayınları, No 220, Trabzon |  |  |   |   
 | 1 | Spiegel M.R. and Difranco,D., 1997, Schaum's outline of Theory and problems of statistics, Mc Graw Hill, USA |  |  | 2 | Till, R., 1974. Statistical methods for the earth scientist-an introduction, Macmillan press USA |  |  |   |   
 |  Method of Assessment  |  | Type of assessment | Week No | Date | Duration (hours) | Weight (%) |  |  In-term studies (second mid-term exam) |  9 |  30/03/2013 |  3 |  50 |  |  End-of-term exam |  16 |  25/05/2011 |  3 |  50 |  |   |   
 |  Student Work Load and its Distribution  |  | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term |  |  Yüz yüze eğitim |  3 |  14 |  42 |  |  Sınıf dışı çalışma |  2 |  14 |  28 |  |  Arasınav için hazırlık |  8 |  1 |  8 |  |  Arasınav  |  3 |  1 |  3 |  |  Ödev |  2 |  2 |  4 |  |  Dönem sonu sınavı için hazırlık |  10 |  1 |  10 |  |  Dönem sonu sınavı |  3 |  1 |  3 |  | Total work load |  |  | 98 |  
  
                 
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