Educational guide
IDENTIFYING DATA 2023_24
Subject STATISTICS II Code 00512018
Study programme
0512 - GRADO EN COMERCIO INTERNACIONAL
Descriptors Credit. Type Year Period
6 Compulsory Second Second
Language
Castellano
Prerequisites
Department ECONOMIA Y ESTADISTICA
Coordinador
CEBALLOS ROA , PABLO
E-mail pcebr@unileon.es
pblaa@unileon.es
Lecturers
BLANCO ALONSO , PILAR
CEBALLOS ROA , PABLO
Web http://
General description Probability models. Sampling and inferential statistics. Parametric estimation and hypothesis testing. Non-parametric tests.
Tribunales de Revisión
Tribunal titular
Cargo Departamento Profesor
Presidente ECONOMIA Y ESTADISTICA ABAD GONZáLEZ , JULIO IGNACIO
Secretario ECONOMIA Y ESTADISTICA VALLEJO PASCUAL , MARIA EVA
Vocal ECONOMIA Y ESTADISTICA GARCIA GALLEGO , ANA BELEN
Tribunal suplente
Cargo Departamento Profesor
Presidente ECONOMIA Y ESTADISTICA ALVAREZ ESTEBAN , RAMON
Secretario ECONOMIA Y ESTADISTICA FERNANDEZ HUERGA , EDUARDO CLAUDIO
Vocal ECONOMIA Y ESTADISTICA RODRIGUEZ FERNANDEZ , MARIA DEL PILAR

Competencias
Code  
A6377
A6380
A6381
A6388
A6400
A6412
A6460
A6502
A6507
A6527
A6573
A6575
B783
B785
B789
B792
C3 CMECES3 That students have the ability to gather and interpret relevant data (normally within their area of study) to make judgments that include reflection on relevant issues of a social, scientific or ethical nature.

Learning aims
Competences
A6381
A6388
A6400
A6460
A6377
A6388
A6400
A6502
A6527
A6377
A6388
A6400
A6502
B783
B785
B789
C3
A6377
A6388
A6400
A6507
B783
B785
B789
C3
A6377
A6388
A6400
A6575
B783
B785
B789
C3
A6380
A6388
A6400
A6573
B783
B785
B789
B792
C3
A6377
A6388
A6400
A6412
B783
B785
B789
C3

Contents
Topic Sub-topic
PROBABILITY DISTRIBUTIONS UNIT 1. PROBABILITY DISTRIBUTIONS
1. Recap of probability and random variables
2. Discrete probabilistic distributions
3. Continuous probabilistic distributions
4. Distributions derived from the normal distribution
PARAMETER ESTIMATION UNIT 3. POINT AND INTERVAL ESTIMATION
1. Parameter, estimator, and estimate
2. Properties of estimators
3. Confidence intervals: basic definitions
4. One-sample confidence intervals
5. Two-sample confidence intervals
6. Sample size calculation
PARAMETRIC HYPOTHESIS TESTS FOR ONE AND TWO SAMPLES UNIT 4. ONE-SAMPLE PARAMETRIC HYPOTHESIS TESTS
1. Basic concepts in hypothesis testing and its steps
2. Hypothesis tests for the mean
3. Hypothesis test for the variance
4. Hypothesis test for the proportion
5. Relationship between confidence intervals and hypothesis tests

UNIT 5. TWO-SAMPLE PARAMETRIC HYPOTHESIS TESTS
1. Aims and approach
2. Hypothesis tests for the difference in means
3. Hypothesis test for the ratio of two variances
4. Hypothesis test for the difference in proportions
NON-PARAMETRIC TESTS UNIT 6. NON-PARAMETRIC TESTS
1. Introduction
2. Test for randomness
3. Test for location
4. Tests for comparing two distributions

UNIT 7. GOODNESS-OF-FIT AND CONTINGENCY TABLES
1. Introduction
2. Chi-square goodness-of-fit test
3. Kolmogorov-Smirnov goodness-of-fit test
4. Normality tests
5. Contingency tables: definition and elements
6. Chi-square independence test

Planning
Methodologies  ::  Tests
  Class hours Hours outside the classroom Total hours
40 40 80
 
10 30 40
0 20 20
 
Lecture 0 0 0
 
Mixed tests 6 0 6
Objective multiple-choice tests 2 0 2
Practical tests 2 0 2
 
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies   ::  
  Description
Lecture

Personalized attention
 
Description

Assessment
  Description Qualification
Practical tests 20%
Objective multiple-choice tests 20%
Mixed tests 60%
 
Other comments and second call

Sources of information
Access to Recommended Bibliography in the Catalog ULE

Basic

Complementary


Recommendations


Subjects that it is recommended to have taken before
STATISTICS I / 00511003