Statistics and Experimental Design

Mathematics.

Theoretical exposition accompanied by exemplification. Resolution of exercises in paper and with the software IBM SPSS Statistcs.

• To understand the basic concepts of statistics.
• To organize, analyze and interpret statistical data.
• To choose and apply appropriate basic statistical methods for data analysis.

1. Descriptive statistics. Data types and presentation. Measures of central tendency and measures of dispersion.
2. Probabilities.
3. The normal distribution.
4. Hypothesis testing for the mean of a sample.
5. Hypothesis test for the mean of two samples.
6. Multi-sample hypothesis testing and analysis of variance (ANOVA). Multiple comparisons.
7. Data transformation.
8. Simple linear regression.
9. Using IBM SPSS Statistics.

Continuous assessment

There is no minimun. Undelivered assessment itens count as 0 when calculating the final grade:

• Group project (groups of 3 students): 50%.
• Written test: 50%.

Assessment in examination period

• One written test with all subjects: 100%.

Students who underwent continuous assessment and obtained a grade greater than or equal to 9.5 in the group project may choose the following option:

• Grade of the project: 50%.
• Written test with all subjects: 50%.

NAO