Statcon. Statistik: Consulting · Training · Software

This training teaches a solid foundation for everyone working with Graphpad Prism. You learn the complete course of a data analysis ranging from data import and descriptive statistical analysis to creation and optimmization of the output. The class is meant to be at beginners level meaning that we do not expect any previous knowledge about PRISM. The course also covers the introduction into basic statistical concepts. The participants are able to master the PRISM dialogsystem and output and can run as well as interpret simple, descriptive statistical analysis.

Objectives:

• Introducton to statistics (basic ideas)
• Data handling and graphical presentation of data in PRISM
• Jump start in statistical analysis with PRISM, one sample per PRISM project type
• PRISM automatisation using templates and other methodes

Prerequisites:

This introductory course is designed for beginners. No PRISM experience is expected, basic knowledge of statistics helps, but is not required.

The class covers all types of means comparisons and similar methods which are implemented in PRISM. Keywords like: t-test, ANOVA, Kruskal-Wallis, gaussian distribution, homogeneity, post hoc tests, paired / unpaired will be explained.
You need to be able to master the Graphpad Prism dialog system and output, thus the introductory training is a prerequisite. The class also covers the basic statistical knowhow needed to understand the different methods.

Objectives:

• Statistical principles of comparisons of Means
• PRISM interface handling with regard to the comparison of means
• Setup and interpret "Column"-projects
  • One sampel t test
  • T test and one-way ANOVA for unpaired and paired samples
  • Nonparametric tests for unpaired and paired samples
  • Post tests
• Understand and utilize "Grouped"-projects
  • Two-way ANOVA for unpaired and paired samples
  • Post test
• Professional and fail save data handling, formatting and presentation of graph types specific to mean comparisons

Prerequisites:

Before attending the course, you should complete the "Introduction to Graphpad PRISM" course or have equivalent experience.

The class covers all methods of regression analysis (linear and nonlinear) which are implemented in Graphpad Prism. Keywords like: linearity, statistical modelling, least squares method, constraints, global fit, model comparisons, dose response curves and enzym cinetic models will be explained.
You need to be able to master the PRISM dialog system and output, thus the introductory training is a prerequisite. The class also covers the basic statistical knowhow needed to understand the different methods.

Objectives:

• understand statistical principles in regression analysis
• master the PRISM interface with respect to linear and nonlinear regression
• perform and interpret lineare regression
• perform and interpret nonlineare regression
• professional and fail save data handling, formatting and presentation of graph types specific to regression analysis

Prerequisites:

Before attending the course, you should complete the "Introduction to Graphpad PRISM" course or have equivalent experience.

This course teaches many advanced function of Graphpad Prism you need to utilize in your job. The course content will be adapted to the needs of your team. The trainer will try to solve your real world problems, so we expect every participant to bring at least one individual PRISM question. Usability questions as well as statistical finesse can be brought up.

Objectives:

• Individual problem solving with PRISM

Prerequisites:

Before attending the course, you should complete the "Introduction to Graphpad PRISM" course or have equivalent experience. You should have specific problems with respect to statistics and PRISM or at least a need to know more about PRISM.

Type of training: Inhouse
Price: 1650,- net per day
Duration: 1 up to 3 days according to customer request
Languages: german, english