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Week
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Topics
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Study Metarials
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1
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The introduction of SPSS menus, data operations, descriptive statistics
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K1) Lecture Note
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2
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Split half, selecet case, recode, compute variable
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K1) Lecture Note
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3
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Distributions, Missing value analysis
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K1) Lecture Note
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4
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Normality test, one-sample test:parametric and non-parametric tests, application in SPSS
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K1) Lecture Note
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5
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Two independent group test: parametric and non-parametric testsPaired test: parametric and non-parametric tests, application in SPSS
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K1) Lecture Note
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6
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K-independent group test:parametric and non-parametric tests, application in SPSS
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K1) Lecture Note
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7
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Two-way Anova, Manova, application in SPSS-1
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K1) Lecture Note
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8
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Two-way Anova, Manova, application in SPSS-2
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K1) Lecture Note
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9
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K-Related sample test, application in SPSS
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K1) Lecture Note
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10
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Cross-tables, chi-square tests, application in SPSS
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K1) Lecture Note
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11
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McNemar, Kappa, Kendall-tau, Phi tests, application in SPSS
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K1) Lecture Note
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12
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Linear regression, Correlation, curve estimation, application in SPSS
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K1) Lecture Note
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13
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Multiple regression analysis, application in SPSS
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K1) Lecture Note
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14
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Reliability analysis, factor analysis, application in SPSS
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K1) Lecture Note
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Program Learning Outcomes |
Level of Contribution |
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1
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To have informations about conceptional, theoretical and applied statistics and and associates the concepts with each other.
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4
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2
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To collect, save and arrange the statistical data, builds the proper tables and graphics to summarize data
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4
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3
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To analyse the data, to able to determine suitable statistical method, to make more efficient inferences and forecasts for the future
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3
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4
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To design and analyse an experiment and interpreting the results
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4
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5
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To have the knowlegde about Mathematics and Economics
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-
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6
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To define statistics problems and develop suggestions by using statistical survey.
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-
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7
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To use the profiency knowlegde on interdiscipliner studies
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4
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8
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To have the ability of planing, managing and reporting of a project
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-
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9
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To use computer softwares and programmes for statistics methods.
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-
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10
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To have the ability of analythical thinking
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-
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11
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To have the individual study skills and be capable of independent decision-making
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3
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12
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To have the qualifications required for team work
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4
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13
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To follow developments in statistics field by using a foreign language and can be connected with their colleagues.
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-
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14
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To have scientific and ethnical values in data collection and interpretation in statistics dicipline.
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-
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