NWI-BB093
Statistics II
Course infoSchedule
Course moduleNWI-BB093
Credits (ECTS)3
Category02 (Introductory with prior knowledge)
Language of instructionEnglish
Offered byRadboud University; Faculty of Science; BioWetenschappen;
Lecturer(s)
Coordinator
dr. P.H.M. Klaren
Other course modules lecturer
Lecturer
dr. P.H.M. Klaren
Other course modules lecturer
Contactperson for the course
dr. P.H.M. Klaren
Other course modules lecturer
Examiner
dr. P.H.M. Klaren
Other course modules lecturer
Academic year2019
Period
KW3-KW4  (03/02/2020 to 30/08/2020)
Starting block
KW3
Course mode
full-time
Remarksmaximum capacity: 120, 2nd year bachelor biology students are given priority
Registration using OSIRISYes
Course open to students from other facultiesNo
Pre-registrationNo
Waiting listYes
Placement procedureIn order of Study programme
ExplanationIn order of Study programme
Content
This (compulsory) 3-ec course will build further on the first-year course Statistics 1.
Where Statistics 1 dealt with unifactorial/univariate statistical procedures, Statistics 2 takes it one step further and will focus on multifactorial and multivariate procedures, such as multiple linear regression, 2-way ANOVA, and analysis of covariance.
Current null hypothesis significance testing (NHST) using a frequentist approach (“p-value driven”) is just one school of data analysis. Bayesian statistics is a second one. A short and first introduction in Bayesian statistics will be given and the method contrasted with NHST.
A meta-analysis is a methodology to aggregate the results (even non-significant ones!) of multiple published studies. The course will provide a first introduction in this methodology.
Power analysis and sample size calculations remain an important tool in the design of experiments. We will move on to more complex designs than the two-groups comparisons that were treated in Statistics 1.
 
Level

Presumed foreknowledge
Statistics I
Test information
  • exam
  • Specifics
    Maximum capacity 120. Compulsory course for 2nd year Bachelor Biology students. Other students might be placed on a waiting list.
    Additional comments
    Maximum capacity 120.
    Compulsory course for 2nd year Bachelor Biology students. Other students might be placed on a waiting list.

    Topics
    Software:
    Most procedures will be performed using the free statistics software JASP that is also used in Statistics 1. In meta-analysis and power analysis the free software packages RevMan 5 and G*Power will be used.

    Test information
    • exam

    Prerequisites
    Statistics I

    Instructional modes
    course
    Attendance MandatoryYes
    Type of instructional modeCourse

    Exam Q4

    Resit Exam Q4

    Tests
    Exam
    Test weight1
    Test typeExam
    OpportunitiesBlock KW3, Block KW4