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Course info
PCH / SMP1D
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Course description
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Department/Unit / Abbreviation
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PCH
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SMP1D
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Academic Year
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2025/2026
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Academic Year
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2025/2026
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Title
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Statistical Methods in Psychology 1
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Form of course completion
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Pre-Exam Credit
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Form of course completion
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Pre-Exam Credit
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Accredited / Credits
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Yes,
2
Cred.
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Type of completion
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Oral
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Type of completion
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Oral
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Time requirements
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Přednáška
2
[Hours/Semestr]
Seminar
2
[Hours/Semestr]
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Course credit prior to examination
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No
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Course credit prior to examination
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No
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Automatic acceptance of credit before examination
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No
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Included in study average
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NO
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Language of instruction
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Czech
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Occ/max
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Automatic acceptance of credit before examination
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No
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Summer semester
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0 / -
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0 / -
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0 / -
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Included in study average
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NO
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Winter semester
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0 / -
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0 / -
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0 / -
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Repeated registration
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NO
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Repeated registration
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NO
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Timetable
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Yes
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Semester taught
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Winter semester
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Semester taught
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Winter semester
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Minimum (B + C) students
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not determined
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Optional course |
Yes
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Optional course
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Yes
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Language of instruction
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Czech
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Internship duration
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0
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| No. of hours of on-premise lessons |
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Evaluation scale |
S|N |
| Periodicity |
every year
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| Specification periodicity |
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Fundamental theoretical course |
No
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| Fundamental course |
No
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| Fundamental theoretical course |
No
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| Evaluation scale |
S|N |
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Substituted course
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None
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Preclusive courses
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PCH/DSMP1
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Prerequisite courses
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N/A
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Informally recommended courses
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N/A
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Courses depending on this Course
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PCH/PCH1D
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Histogram of students' grades over the years:
Graphic PNG
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XLS
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Course objectives:
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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.
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Requirements on student
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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
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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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Activities
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Fields of study
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Guarantors and lecturers
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Literature
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Time requirements
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All forms of study
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Activities
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Time requirements for activity [h]
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Homework for Teaching
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30
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Preparation for the Course Credit
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16
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Attendace
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4
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Total
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50
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| Prerequisites - other information about course preconditions |
| Basic knowledge of secondary school mathematics. |
| Competences acquired |
| 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. |
| Teaching methods |
- Lecture
- Work with Text (with Book, Textbook)
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| Assessment methods |
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