### thinkBS 203 Statistics

• Level: Intermediate
• Status: Upcoming
• Offered by: Universidad San Jorge

The principal objective of this course is to solve elementary problems of a random nature using the foundations of statistical mathematics. A selection of problems about Descriptive Statistic, Probability, Random Variables, Probability Distributions, and Statistical Inference will be proposed and solved.

At the end of the course, the students should be able to analyze and explain data corresponding to statistical events using the foundations of descriptive statistics, solve related problems to random phenomena using basic probability techniques and models of probability distribution, and predict specific situations by using of statistical inference methods.

###### The topics of these course will be:
1. 1. Statistics for Describing, Exploring, and Comparing Data
2. 2. Regression and Correlation
3. 3. Probability
4. 4. Random variables and probability distributions
5. 5. Point Estimation of Parameters and Sampling Distributions
6. 6. Confidence Interval for a single sample and two ones
7. 7. Hypothesis testing for a single sample and two ones
8. 8. Goodness-of-Fit and Contingency Tables
9. 9. Analysis of Variance

###### The basic bibliography to follow the course contents will be:
1. 1. Triola, Mario F. Elementary Statistics 11th edition (2009)
2. 2. Douglas C. Montgomery, Applied Statistics and Probability for Engineers, 7th edition (2018)

###### Teachers:
Jesús Manuel Bergues and África Domoingo.

### Course Form

Mode of Delivery
(in class / online / blended)
Blended
Prerequisites by topic None.
Language of Instruction English
Course Objectives Solve elementary problems of a random nature using the foundations of statistical mathematics.
Course Contents Descriptive Statistic, Probability, Random variables and probability distributions, Statistical Inference.
Learning Outcomes of the Course Unit 1. Analyze and explain data corresponding to statistical events using the foundations of descriptive statistics.
2. Solve related problems to random phenomena using basic probability techniques and models of probability distribution.
3. Predict specific situations by using of statistical inference methods.

#### WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects
1 Statistics for Describing, Exploring, and Comparing Data
2 Regression and Correlation
3 Probability
4 Probability
5 Random variables and probability distributions
6 Random variables and probability distributions
7 Random variables and probability distributions
8 Random variables and probability distributions
9 Point Estimation of Parameters and Sampling Distributions
10 Confidence Interval for a single sample and two ones
11 Hypothesis testing for a single sample and two ones
12 Goodness-of-Fit and Contingency Tables
13 Analysis of Variance