Description
At Sixe Engineering we have been providing official IBM training around the world for over 12 years. Get the best training from our specialists in Europe. We have important discounts and offers for two or more students.
Course details
| IBM course code: 0G51BG | Category: SPSS / SPSS Statistics |
| Delivery: Online & on-site** | Course length in days: 2 |
Target audience
• IBM SPS Statistics users who want to familiarize themselves with the statistical capabilities of IBM SPSS Statistics Base.
• Anyone who wants to refresh their knowledge and statistical experience.
Desired Prerequisites:
• Experience with IBM SPSS Statistics (version 18 or later), or
• Completion of the IBM SPSS Statistics Essentials course
Instructors
The great majority of the IBM courses we offer are taught directly by our engineers. This is the only way we can guarantee the highest quality. We complement all the training with our own materials and laboratories, based on our experience during the deployments, migrations and courses that we have carried out during all these years.
Added value
Our courses are deeply role oriented. To give an example, the needs for technology mastery are different for developer teams and for the people in charge of deploying and managing the underlying infrastructure. The level of previous experience is also important and we take it very seriously. That is why beyond (boring) commands and tasks, we focus on solving the problems that arise in the day to day of each team. Providing them with the knowledge, competencies and skills required for each project. In addition, our documentation is based on the latest version of each product.
Agenda and course syllabus
Introduction to statistical analysis
• Identify the steps in the research process
• Identify measurement levels
Describing individual variables
• Chart individual variables
• Summarize individual variables
• Identify the normal distribution
• Identify standardized scores
Testing hypotheses
• Principles of statistical testing
• One-sided versus two-sided testing
• Type I, type II errors and power
Testing hypotheses on individual variables
• Identify population parameters and sample statistics
• Examine the distribution of the sample mean
• Test a hypothesis on the population mean
• Construct confidence intervals
• Tests on a single variable
Testing on the relationship between categorical variables
• Chart the relationship
• Describe the relationship
• Test the hypothesis of independence
• Assumptions
• Identify differences between the groups
• Measure the strength of the association
Testing on the difference between two group means
• Chart the relationship
• Describe the relationship
• Test the hypothesis of two equal group means
• Assumptions
Testing on differences between more than two group means
• Chart the relationship
• Describe the relationship
• Test the hypothesis of all group means being equal
• Assumptions
• Identify differences between the group means
Testing on the relationship between scale variables
• Chart the relationship
• Describe the relationship
• Test the hypothesis of independence
• Assumptions
• Treatment of missing values
Predicting a scale variable: Regression
• Explain linear regression
• Identify unstandardized and standardized coefficients
• Assess the fit
• Examine residuals
• Include 0-1 independent variables
• Include categorical independent variables
Introduction to Bayesian statistics
• Bayesian statistics and classical test theory
• The Bayesian approach
• Evaluate a null hypothesis
• Overview of Bayesian procedures in IBM SPSS Statistics
Overview of multivariate procedures
• Overview of supervised models
• Overview of models to create natural groupings
Do you need to adapt this syllabus to your needs? Are you interested in other courses? Ask us without obligation.
Locations for on-site delivery
- Austria: Vienna
- Belgium: Brussels, Ghent
- Denmark: Cophenhagen
- Estonia: Tallinn
- Finland: Helsinki
- France: Paris, Marseille, Lyon
- Germany: Berlin, Munich, Cologne, Hamburg
- Greece: Athens, Thessaloniki
- Italy: Rome
- Louxemburg: Louxembourg (city)
- Netherlands: Amsterdam
- Norway: Oslo
- Portugal: Lisbon, Braga, Porto, Coimbra
- Slovakia: Bratislava
- Slovenia: Bratislava
- Spain: Madrid, Sevilla, Valencia, Barcelona, Bilbao, Málaga
- Sweden: Stockholm
- Turkey: Ankara
- United Kingdom: London
