Speaker
Dr. Helmut Schlumprecht
Statistik-Service Schlumprecht
Date
Course 1: 7 – 9 November, 2018
Course 2: 21 – 23 November, 2018
Location
Freiburg
Berlin
Introduction into descriptive statistics
- Overview: Measures of central tendency and spread, i.e.
- Arithmet. mean, range, standard deviati on, standard error, confidence interval for the mean
- Median, interquartile range, confidence interval for the median
- Explanation of the requirements for statistical parameters
- Which measure for what purpose?
Introduction into using the program
- Data organisati on in GraphPad Prism
- Computing descriptive statistics in GraphPad Prism
- Differences to other statistical programs
Creating simple graphs in GraphPad Prism
- Data organisation in GraphPad Prism
- Computing descriptive statistics in GraphPad Prism
- Differences to other statistical programs
Introduction in inference statistics:
Overview: Theory and diversity of statistical tests
- Comparing two groups
A: Checking the requirements
- Visual inspection of scatterplots and histograms
- Tests of Normality and of outliers
- Tests of homogeneity of variances
B: Comparing paired and unpaired groups
- t-Test
- Mann-Whitney U-Test, Wilcoxon – matched pairs signed rank test
2. Checking three or more groups – Overview
- Oneway-ANOVA – analysis of variance and post hoc-Tests
- Kruskal-Wallis –Test (Oneway-ANOVA of ranks and post hoc-Tests)
Which Test for what purpose? Which requirements?
Using GraphPad-Prism
- Comparing two groups, tutorial data sets from GraphPad Prism
- t-Test
- Mann-Whitney U-Test
- Wilcoxon – matched pairs signed rank test
Graphs for comparisons of two groups
- Boxplot and arrows for significance and labeling
- Editing of simple graphs
- Using GraphPad-Prism
Questions
Comparing three or more groups: Analysis of variance (ANOVA)
- Oneway-ANOVA and post hoc-Tests
- Kruskal-Wallis–Test (Oneway-ANOVA for ranks and post hoc tests)
- Repeated measure – design
Introduction and data organisation in GraphPad Prism for Oneway-ANOVA
Linear regression – analysing relations between numeric x and y-values and their graphing
- Importance
- Procedures
- Graphs
Criteria for good scientific graphs
- Diversity of graph types – advantages and disadvantages
- Requirements and use
- Graphs for small and large data sets
Editing of graphs
- Procedures
- Graphs tutorial and graph Portfolio of GraphPad Prism
Introduction into Non linear regression (Enzyme kinetics, Michelis-Menten
kinetics, ELISA etc.)
- Theory and using the program
Non linear regression – further topics and using the program
- Theory and using the program
Questions
Speeding up the workflow (Data analysis and graphs for test series – from prototype to serial production)
Introduction into the program and data organisation in GraphPad Prism for serial production
GraphPad Tutorial and Internet help
- Examples and tutorial data sets for analyses and graphs
- Don’t panic – How to use the help pages of GraphPad Prism
Analysis of frequency data (counts; chisquare tests etc.)
- Importance
- Procedures
- Graphs