| Weeks | Topics |
| 1 |
Explanation of the basic concepts related to statistics: Statistics, population, sample, data, variables, data, unit
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| 2 |
Sampling Methods: Non probability sampling, probability sampling. The variable measuring the level: the scale sorter, sorter scale, interval scale, ratio scale.
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| 3 |
Raw data arrangement: Array, number of classified, grouped array creation.
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| 4 |
Creation of a variety of graphics created with the help of frequency tables: Histogram, ferkans polygon, bar graph, line graph, circle graph.
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| 5 |
Measures of central tendency: mean: arithmetic mean, harmonic mean, weighted (weighted average).
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| 6 |
Measures of central tendency: mean: arithmetic mean, harmonic mean, weighted (weighted average).
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| 7 |
Variability measurements (range, variance and standard deviation) to give information about.
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| 8 |
Giving information about the average absolute deviation and coefficient of variation.
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| 9 |
Midterm
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| 10 |
Dimensions of the relationship (regression analysis and correlation analysis) to give information about.
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| 11 |
Dimensions of the relationship (regression analysis and correlation analysis) to give information about.
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| 12 |
Pearson's correlation coefficient and sample questions about the information given to the resolution, measures of skewness (asymmetry and kurtosis measures).
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| 13 |
Some important probability distributions: normal distribution, f and t the distribution of allocation and give knowledge about.
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| 14 |
Provide general knowledge about the probability distributions, the calculation of the Z test
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