Course code: 250201 | Subject title: STATISTICS | ||||
Credits: 6 | Type of subject: Basic | Year: 1 | Period: 2º S | ||
Department: Estadística, Informática y Matemáticas | |||||
Lecturers: | |||||
SANTAFE RODRIGO, GUZMAN (Resp) [Mentoring ] |
R1.-To perform descriptive statistical analyses of data to summarize the information effectively and accurately in writing reports and to understand the relevance of such analyses in different areas of management and knowledge.
R2.-To carry out appropriate statistical procedures according to the nature of the statistical variables in a database.
R3.- To use a statistical package for statistical data base processing and simulation of random phenomena.
R4.- To model problems in situations of uncertainty by means of events and their probability, conditional probability and independence of events
R5. - To recognize the main stochastic models, both discrete and continuous, together with general methods of probability that can be adapted to new models not specifically listed.
R6.- To model stochastic relationships between variables.
R7.- To implement and understand the basis and scope of probability applications in computer science for the analysis of computational complexity, the methods of random number generation, simulation techniques, coding methods in the transmission of information, the Internet topology, treatment of transmission errors, the evolution of certain data structures and operation of communication networks.
R8.- Using statistical tools to adequately estimate the unknown parameters of statistical models posed in engineering by methods of point and interval estimation.
Methodology - Activity | Attendance | Self-study |
A-1 Theoretical clases | 44 | |
A-2 Computer Labs | 14 | |
A-3 Debates, group work, etc | 1 | |
A-4 Monitoring continulus evaluation | 8 | |
A-5 Lecture | ||
A-6 Self-study | 75 | |
A-7 Exam, evalutaion tests | 4 | |
A-8 Tutorial | 4 | |
Total | 75 | 75 |
Proficiency | Activities |
G8 | A-1, A-2, A-4, A-6, A-8 |
G9 | A-1, A-2, A-4, A-6, A-8 |
FB1 | A-1, A-2, A-4, A-6, A-7, A-8 |
FB3 | A-1, A-2, A-4, A-6, A-8 |
T1 | A-1, A-2, A-3, A-4, A-6, A-8 |
T3 | A-1, A-2, A-3, A-4, A-7 |
T4 | A-2, A-4, A-7, A-8 |
T8 | A-2, A-4, A-6 |
Learning outcome |
Assessment activity |
Weight (%) | It allows test resit |
Minimum required grade |
---|---|---|---|---|
R4,R5,R6 | Midterm evaluation | 30 | Yes | |
R1,R2,R3,R4,R5,R6,R7,R8,R9 | Second exam | 60 | Yes | 5 out of 10 |
R1,R2,R3,R4,R5,R6,R7,R8,R9 | Monitoring exercises | 10 | Yes | |
Descriptive statistics and statistical software -R- will be dealt with through the whole course.
1.-Exploring Data
Displaying Qualitative and Quantitative Data
Measures of Location and Spread
Bivariate and Multivariate data
2.- General Probability and Random Variables
Counting Techniques (a review)
Axiomatic Probability
Discrete and Continuous Random Variables
3.- Univariate probability distribution
Discrete and Continuous Univariate Probability Distributions
6 Sampling and Sampling Distributions
Sampling
Parameters
Estimators
Sampling Distribution of the Sample Mean, Sample Variance and Sample Proportion
Sampling Distributions Associated with the Normal Distribution
7.- Point Estimation and Confidence Intervals
Properties of Point Estimators
Confidence Intervals
8.-Hypothesis Testing
Type I and Type II Errors
Power Function
Uniformly Most Powerful Test
p-Value or Critical Level
Tests of Significance
9. Introduction to modeling in statistics
Access the bibliography that your professor has requested from the Library.
TEXTBOOK:
Ugarte, M. D., Militino, A. F., Arnholt, A. T. (2016). Probability and Statistics with R. Second Edition. CRC Press/Chapman and Hall.
OTHER BOOKS:
Devore, J. (2005) Applied statistics for engineers and scientists. Thomson