# Introduction into Statistics with GraphPad Prism

Speaker
Dr. Helmut Schlumprecht
Statistik-Service Schlumprecht

Date
Course 1: 7 – 9 November, 2018
Course 2: 21 – 23 November, 2018

Location
Freiburg
Berlin

Program

Introduction into descriptive statistics

• Overview: Measures of central tendency and spread, i.e.
1. Arithmet. mean, range, standard deviati on, standard error, confidence interval for the mean
2. 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

1. 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?

• 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

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

• 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