### General Information

Course Code | R_SSPSS |
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Credits | 6 EC |

Period | P4 |

Course Level | 100 |

Language of Tuition | English |

Faculty | Faculty of Law |

Course Coordinator | dr. M.V. van Koppen |

Examiner | dr. M.V. van Koppen |

Teaching Staff |

### Practical Information

You need to register for this course yourself

Teaching Methods | Seminar, Lecture |
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### Course Objective

Learning objectives of the course:(A) Subject-specific learning outcomes

Upon completion of the course, the student should be able to:

- visualize a data distribution

- summarize data in terms of central tendency and dispersion;

- explain the difference between population and sample;

- use the correct measure to calculate and interpret the relationship

between two variables;

- find a regression equation given scores on a dependent and independent

variable;

- calculate and interpret explained variance;

- calculate and interpret percentiles and standard scores in a given

distribution;

- understand how the normal distribution is the basis of many

inferential statistical tests (central limit theorem);

- test a sample distribution against a hypothesized mean or against

another sample distribution and interpret the result;

- use SPSS to describe a distribution, to show the relationship between

two variables, to estimate the value on a dependent variable given a

value on a independent variable (single regression), and to test for

differences.

### Course Content

In this course, the student is introduced to the basics of statistics.The student will acquire a basic understanding of techniques used for:

- descriptive statistics, introducing measures and graphical methods of

describing data;

- studying the relationship between two variables, introducing

correlation, chi square and regression analysis;

- statistical inference, starting with the foundation for statistical

inference (random distributions and standard scores) and ending with

estimation and hypothesis testing.

The student will learn to use the statistical software program SPSS to

describe and analyse data.

By the end of this course, the student should be able to describe and

display data and to draw valid inferences based on data by using

appropriate statistical tools.

### Teaching Methods

Teaching on this course consists of lectures and interactive seminars.Attendance of all interactive seminars is mandatory. Students who miss

more than one seminar are required to make an extra assignment to pass

the course.

### Method of Assessment

Assessment for this course consists of two components:1. Several assignments

2. Written exam

### Literature

Reid, H.M. (2014). Introduction to statistics: Fundamental concepts andprocedures of data analysis. Sage Publications