| Course title | Statistical Methods in Psychology 1 |
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| Course code | PCH/DSMP1 |
| Organizational form of instruction | Lecture + Seminary |
| Level of course | Bachelor |
| Year of study | not specified |
| Semester | Winter |
| Number of ECTS credits | 4 |
| Language of instruction | Czech |
| Status of course | unspecified |
| Form of instruction | Face-to-face |
| Work placements | This is not an internship |
| Recommended optional programme components | None |
| Lecturer(s) |
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| Course content |
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The following topics will be discussed: - the randomness and probability - random variable and distribution function - numerical characteristics of random variables - descriptive statistics - correlation coefficient - point estimates of parameters - interval estimation parameters (confidence intervals)
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| Learning activities and teaching methods |
Lecture, Work with Text (with Book, Textbook)
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| Learning outcomes |
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The course consists of several consecutive blocks. In the first, students become familiar with the theory of probability and learn use random variables. The second block is focused on working with data; students learn to describe their sample using descriptive statistics, correlation coefficients and graphical tools for data presentation. The topic of the third block are statistical estimates (point and interval) of numerical characteristics of random variables. Confidence intervals are in the focus of this block.
The ability to describe the reality using random variables, work with them and use their properties to calculate probabilities and to create other statistical tools. Students will also learn the terminology of statistics and become familiar with data analysis principles. |
| Prerequisites |
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Basic knowledge of secondary school mathematics.
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| Assessment methods and criteria |
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Oral exam, Written exam
Students get credit for an oral examination. Only those students who pass control tests are allowed to the oral examination. The tests are run during the semester and are focused on the following topics: - solving problems with a summation operator - combinatorial problems - quantification of the probability using a probability function of discrete random variable - quantification of the probability using a probability density function of continuous random variable - operations with random variables (calculation of numerical characteristics) - descriptive statistics - data visualization - correlation coefficient - confidence intervals Oral examination is consisted of a talk about two of the following terms. Student draw one term from each group. I) random experiment, random event, disjoint events, probability, classical probability, geometric probability, random variable, probability distribution, distribution function, continuous random variables, discrete random variable, mean, variance, standard deviation, covariance, correlation coefficient, independence of random variables, alpha-quantile, probability function, probability density, Bernoulli distribution, binomial distribution, Poisson distribution, uniform distribution, normal distribution, standard normal distribution, central limit theorem, chi-square distribution, Student's t-distribution, Fisher F distribution II) the absolute and relative frequency, histogram, outliers, mean, weighted mean, winsorized and trimmed mean, sample median, sample quantile, sample mode, box plot, the variation range, interquartile range, mean absolute deviation, median absolute deviation, sample variance, standard deviation, coefficient of variation, mutability, sample skewness, sample (excess) kurtosis, sample covariance, Pearson correlation coefficient, point-biserial correlation coefficient, phi coefficient, Spearman correlation coefficient, scatterplot, the properties of the point estimates, random sample, population vs. sample variance and covariance, correlation coefficient with a restricted range of scores, biserial and tetrachoric correlation coefficient, one-sided and two-sided confidence interval |
| Recommended literature |
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| Study plans that include the course |
| Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester |
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