Weeks | Topics |
1 |
Course and literature presentation
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2 |
Introduction to Statistics
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3 |
Some basic concepts in Statistics: Population, Sample, Variable, Data, Type of Data, Measurement, Type of Measurements, Basic Definitions.
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4 |
Central Tendency Measurements;Mean, Median, Mod. Variability Measurements; Variance, Standart Deviation.
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5 |
Classification of Data, Tables and Graphs.
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6 |
Data manipulation and entry in Excel. Processing the data into SPSS program.
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7 |
Percentage, average, standard deviation etc. using SPSS program. processes and comments .
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8 |
Normality tests.
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9 |
Reliability analysis using SPSS program. Tables and comments.
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10 |
T test, Mann Whitney-U test. Tables and comments.
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11 |
ANOVA, Kruskal Wallis H-test. Tables and comments.
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12 |
Correlation: Pearson correlation and Spearman correlation.
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13 |
Regression analysis
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14 |
General evaluation and examination of the studies carried out.
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