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1st Week |
Week 1: Introduction to the course program, general topics related to statistics, basic concepts |
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2nd Week |
Week 2: Classification of data (verbal description, creating graphs and tables), SPSS applications. Central tendency measures (mean, median, mode, percentiles) with SPSS applications. Characteristics of distributions (positive and negative skewness). Measures of spread/variation (standard deviation, variance, quartile deviation) with SPSS applications. Unit normal distribution, standard scores (z and t scores) with SPSS applications. |
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3rd Week |
Week 3: Concept of correlation and correlation techniques (Pearson product-moment correlation technique, Spearman's rho rank difference correlation technique, point-biserial correlation technique). |
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4th Week |
Week 4: Concept of correlation and correlation techniques (continued). |
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5th Week |
Week 5: Correlation techniques (continued): Biserial correlation technique, Phi (?) coefficient, and tetrachoric correlation coefficient. |
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6th Week |
Week 6: Regression analysis (simple linear regression analysis, multiple linear regression analysis). Variable selection methods (forward selection, backward elimination, and stepwise selection) with SPSS applications. Inferential statistics: Estimation of population parameters (a) Point estimation and (b) Interval estimation. Hypothesis testing. |
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7th Week |
Week 7: Regression analysis (simple linear regression analysis, multiple linear regression analysis). Variable selection methods (forward selection, backward elimination, and stepwise selection) with SPSS applications. Inferential statistics: Estimation of population parameters (a) Point estimation and (b) Interval estimation. Hypothesis testing. |
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8th Week |
Week 8: Midterm exam. |
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9th Week |
Week 9: Central limit theorem, sampling distribution, standard error. Confidence interval estimation. Z and t distributions, degrees of freedom. |
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10th Week |
Week 10: Concept of hypothesis and types of hypotheses (null hypothesis-research hypothesis; one-tailed and two-tailed hypotheses). Hypothesis testing. Graphical representation of the acceptance regions of one-tailed and two-tailed hypotheses. Errors in hypothesis testing (Type I and Type II errors). |
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11th Week |
Week 11: Comparing the mean of a sample group with the population mean (z and t tests). Testing the significance of the difference between two statistics: related and unrelated samples. Standard error of the difference. Testing the difference between two means in unrelated samples: t test for independent samples with SPSS applications. |
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12th Week |
Week 12: Comparing the mean of a sample group with the population mean (z and t tests). Testing the significance of the difference between two statistics: related and unrelated samples. Standard error of the difference. Testing the difference between two means in unrelated samples: t test for independent samples with SPSS applications. |
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13th Week |
Week 13: Testing the difference between two means in related samples: single group method, difference method with SPSS applications. One-Way ANOVA with SPSS applications. Non-parametric techniques: Chi-square test (a) Goodness-of-fit test and (b) Independence test. Non-parametric techniques (continued): Mann-Whitney U test, Kruskal-Wallis H test. |
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14th Week |
Week 14: Testing the difference between two means in related samples: single group method, difference method with SPSS applications. One-Way ANOVA with SPSS applications. Non-parametric techniques: Chi-square test (a) Goodness-of-fit test and (b) Independence test. Non-parametric techniques (continued): Mann-Whitney U test, Kruskal-Wallis H test. |
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15th Week |
Week 15: Evaluation. |
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16th Week |
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17th Week |
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18th Week |
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19th Week |
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20th Week |
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21st Week |
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22nd Week |
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