SHUA13011U  Statistics and Data Analysis for Human Biologists (2013)

Volume 2013/2014
Education
MSc Programme in Human Biology - compulsory
Content

Achieve an understanding of the significance of statistics on own science. Fundamental understanding of statistically based conclusions, data structures and statistical methods. Be able to extract information from statistical software, formulate statistical conclusions and calculate sample sizes in connection with the planning of studies. Introduction to statistical software.

Learning Outcome

At the end of the course, the student shall be able to:

  • Test simple descriptive calculations and descriptive plots
  • Discuss statistical concepts such as p-value, regression, standard deviation, standard error, test, correlation, median, mean, boxplot, level of significance and statistical interaction
  • Discuss the results of simple statistical analyses
  • Test simple statistical analyses by use of statistical software
Approved completion of all 2nd semester course elements and passing of all 2nd semester exams:
Radioactive Isotopes and Ionizing Radiation
Human Pathophysiology
Pharmacology and Toxicology
Clinical Rotation
Lecturers and it-exercices.
Statistics and Data Analysis for Human Biologists, 2013-curriculum, is also open for students following the 2011-curriculum.
Credit
2,5 ECTS
Type of assessment
Course participation
Course attestation on the basis of approved participation in training activities.
Aid
All aids allowed
Marking scale
passed/not passed
Censorship form
No external censorship
One internal examiner
Exam period
Week 38, 2013
Criteria for exam assesment

To achieve course attestation, the student shall be able to:

  • Test simple descriptive calculations and descriptive plots
  • Discuss statistical concepts such as p-value, regression, standard deviation, standard error, test, correlation, median, mean, boxplot, level of significance and statistical interaction
  • Discuss the results of simple statistical analyses
  • Test simple statistical analyses by use of statistical software
  • Category
  • Hours
  • Lectures
  • 15
  • Class Instruction
  • 15
  • Preparation
  • 39
  • Total
  • 69