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# Introduction to Statistics

Vak
2021-2022

None

## Description

Whether you realize it or not, statistics is a part of your everyday life. Increased awareness and literacy in statistics provides the opportunity to be a more informed citizen and consumer, a more critical analyst of research, and creates opportunities for more effective communication with data. This course is meant to improve your ability to understand and communicate with data that matters in the real world, as well as critically reflect on the limitations and challenges of data analysis and its social impact. You will need to apply these careful and reflective data analysis skills in other courses during your education at LUC and perhaps even in your everyday life now and in the future. Whether you have had a statistics course before or whether the concepts are new to you, this course is an opportunity to develop your skills to understand presented data, as well as effectively communicate and analyzing data using statistical techniques.

The course assumes no prior knowledge of statistics, but participants who are less confident about their mathematical skills or less familiar with basic statistics should plan to spend additional time preparing for class using posted videos and readings.

## Course Objectives

After successful completion of this course, students are able to:

Knowledge

• Understand the options for describing and presenting data

• Understand basic principles of statistical inference

• Critically reflect on the power and limitations of data analysis

Skills

• Apply statistical reasoning to real world examples

• Effectively summarize data using descriptive statistics, tables, and graphs

• Interpret and critically evaluate presentation of data and analysis in graphs and tables

• Perform basic data description and analysis using the R software environment

## Timetable

Timetables for courses offered at Leiden University College in 2021-2022 will be published on this page of the e-Prospectus.

## Mode of instruction

• Quiz responses during prerecorded videos– 5%, Weeks 1-7 (Learning outcomes 1 - 7)

• Collaborative keys and group work – 10%, Weeks 1-7 (Learning outcomes 3, 4, 6, 7)

• Weekly online quizzes – 15%, Weeks 2-7 (Learning outcomes 1, 2, 3, 5)

• R Lab assignments – 20%, Weeks 1-7 (Learning outcomes 4, 5, 6, 7)

• Group project presentation– 10%, Week 5 (Learning outcomes 4, 5, 6, 7)

• Final exam – 40%, Week 8 (Learning outcomes 1 - 7)

## Assessment Method

• Quiz responses during prerecorded videos– 5%, Weeks 1-7 (Learning outcomes 1 - 7)

• Collaborative keys and group work – 10%, Weeks 1-7 (Learning outcomes 3, 4, 6, 7)

• Weekly online quizzes – 15%, Weeks 2-7 (Learning outcomes 1, 2, 3, 5)

• R Lab assignments – 20%, Weeks 1-7 (Learning outcomes 4, 5, 6, 7)

• Group project presentation– 10%, Week 5 (Learning outcomes 4, 5, 6, 7)

• Final exam – 40%, Week 8 (Learning outcomes 1 - 7)

The required textbook is:

• Foster, Liam; Diamond, Ian; and Jefferies, Julie. 2015. Beginning Statistics: An Introduction for Social Scientists. 2nd edition. SAGE.