- Code
- CMP 227
- Name
- Probability and Statistics
- Semester
- 3
- Lecture hours
- 3.00
- Seminar hours
- 0.00
- Laborator hours
- 1.00
- Credits
- 3.50
- ECTS
- 5.00
- Description
-
The aim of the course Probability and Statistics is to provide students with the necessary knowledge about the basic concepts of statistics and probability. In this course there is a combination of theoretical aspects with the practical aspect, increasing the ability of students for an efficient use of statistical analysis. The program is explained through units dealing with basic knowledge on: statistical data, density distribution, localization and variation indicators, variance, linear regression, correlation analysis, probability, etc.
- Objectives
-
The major objective of this course is to increase the student data analysis skills using different statistical tools, both from descriptive and inferential statistics. The objective of the course is to help students to understand theoretical characteristics of statistical methods and develop practical knowledge and skills to analyze the business data.
- Java
- Tema
- 1
- Topic: Introduction to Statistics. In this topic students will be introduced to the subject of statistics with basic concepts: what is statistics, the importance of statistics, descriptive and inferential statistics. (Pyrczak, 2004; Chapter 1, pp. 9-23)
- 2
- Topic: Introduction to Statistics (continued). In this topic students will be introduced to the basic concepts of statistics: data, variables, percentages, different types of distributions, etc. (Pyrczak, 2004; Chapter 1, pp. 23-53)
- 3
- Topic: Descriptive statistics. In this topic students will be introduced to tabular and graphical methods of data processing, qualitative and quantitative data, density distribution, statistical graphs, their meaning and importance (Pyrczak, 2004; Chapter. 2, pp. 53-99)
- 4
- Topic: Descriptive statistics (continued). In this topic students will be introduced to localization indicators: average, median, fashion, etc. (Pyrczak, 2004; Chapter 3, pp. 99-117)
- 5
- Topic: Descriptive statistics (continued). In this topic students will be introduced to the indicators of variation (amplitude, variance, standard deviation, etc.), (Pyrczak, 2004; chap. 3, pp. 114-134)
- 6
- Topic: Analysis of bivariate data. In this topic students will be introduced to bivariate data and then will be introduced to the values, properties and applications of Pearson correlation (Pyrczak, 2004; chapter 4, pp. 134-149).
- 7
- Topic: Probability. In this topic students will be introduced to the basic concepts of probability and the different types of probability
- 8
- Semi-Final Exam
- 9
- Topic: Analysis of variance. In this topic students will be introduced to analysis of variance, analysis of variance procedures, completely random models, random block models. (Pyrczak, 2004; chap. 15, pp. 421-426)
- 10
- Topic: Analysis of variance (continued). In this topic students will be introduced to analysis of variance, experiments with several factors, methods of multiple comparisons. (Pyrczak, 2004; chap. 15, pp. 426-467)
- 11
- Topic: Regression and simple linear correlation. In this topic students will be introduced to regression and simple linear correlation, the least squares method, the coefficient of determination, the regression model and assumptions about it, the control of the significance of the connection. (Pyrczak, 2004; chap. 14, pp. 378-388)
- 12
- Topic: Regression and simple linear correlation (continued). In this topic students will be introduced to, statistical infertility, criteria F and t, evaluation and forecasting, residual analysis, control of assumptions for the linear model, residual analysis, impact observations major, correlative analysis (Pyrczak, 2004; chap. 14, pp. 388-400)
- 13
- Topic: Regression with many variables. In this topic students will be introduced to the multiple regression model and its assumptions, finding the estimate for the multiple regression equation, checking for the importance of the connection, estimating and predicting (Pyrczak, 2004; chap. 14, p. 400- 421)
- 14
- Topic: Testing of Mean. In this topic students will be introduced to single-mean testing, testing the differences between two means with independent groups, comparing mean pairs (Pyrczak, 2004; chap. 14, pp. 324-360)
- 15
- Topic: Testing of Averages (continued). In this topic students will be introduced to tests the means of pairs between independent pairs, (Pyrczak, 2004; chap. 14, pp. 341-360)
- 16
- Final Exam
- 1
- Studentët duhet të fitojnë aftësitë për të hetuar situatat dhe grumbulluar të dhënat statistikore
- 2
- Studentët duhet të fitojnë aftësitë për të përpunuar dhe analizuar të dhënat statistikore duke përdorur metodat e sakta të përpunimit të tyre
- 3
- Studentët duhet të fitojnë aftësitë për të paraqitur dhe interpretuar të dhënat statistikore
- 4
- Studentët duhet të llogarisin treguesit dhe parametrat statistikorë dhe të dijnë t’i interpretojë ato në funksion të zgjidhjes të situatave të ndryshme.
- Quantity Percentage Total percent
- Midterms
- 1 30% 30%
- Quizzes
- 0 0% 0%
- Projects
- 1 20% 20%
- Term projects
- 0 0% 0%
- Laboratories
- 0 0% 0%
- Class participation
- 1 10% 10%
- Total term evaluation percent
- 60%
- Final exam percent
- 40%
- Total percent
- 100%
- Quantity Duration (hours) Total (hours)
- Course duration (including exam weeks)
- 16 4 64
- Off class study hours
- 14 3 42
- Duties
- 1 15 15
- Midterms
- 1 2 2
- Final exam
- 1 2 2
- Other
- 0 0 0
- Total workLoad
- 125
- Total workload / 25 (hours)
- 5.00
- ECTS
- 5.00