- Data analysis programs spss how to#
- Data analysis programs spss registration#
- Data analysis programs spss software#
- Data analysis programs spss series#
O Performing the tests of association: Pearson and Spearman correlation, partial correlation, chi square test for association, loglinear analysis O Performing the main one-sample analyses: one-sample t test, binomial test, chi square for goodness of fit
Data analysis programs spss series#
O Detecting the outliers in a data series O Performing the basic data analysis procedures: Frequencies, Descriptive, Explore, Means, Crosstabs O Building charts in SPSS: column charts, line charts, scatterplot charts, boxplot diagrams O Performing operations with data: define variables, recode variables, create dummy variables, select and weight cases, split files O Perform simple to complex data management tasks using SPSS
Data analysis programs spss how to#
Participants will review several statistical techniques, gain an understanding of when and why to use these various techniques as well as how to apply them with confidence, interpret their output, and graphically display the results. This course provides the participants with a practical application of the statistical component of IBM® SPSS® Statistics.
Data analysis programs spss software#
Statistical Package for Social Sciences (SPSS) is one of the most user friendly statistical software for researchers providing visualization and data analytical tools. Additionally, the training will also focus on developing skills that are crucial to the transformation of data using SPSS. It will provide the participants with a general idea of computer assisted data analysis. The training is essential in the development of better understanding of the concepts of statistics. Thank you Online/ On-site (Nairobi, Kenya) Training Dates
Data analysis programs spss registration#
Paperback.NOTE: To view the training dates and registration button clearly put your mobile phone, tablet on landscape layout.
In this one-stop reference, the authors provide succinct guidelines for performing an analysis, avoiding pitfalls, interpreting results, and reporting outcomes. It contains examples using SPSS Statistics software.
For SPSS Users: SPSS By Example 2nd Edition: A Practical Guide to Statistical Data Analysis is a practical "cut to the chase" handbook that quickly explains the when, where, and how of statistical data analysis as it is used for real-world decision-making in a wide variety of disciplines. The book also provides instruction and examples on analysis of variance, correlation and regression, nonparametric analysis, logistic regression, creating graphs, controlling outputs using ODS, as well as advanced topics in SAS programming. Designed for those new to SAS and filled with illustrative examples, the book shows how to read, write and import data prepare data for analysis use SAS procedures evaluate quantitative data analyze counts and crosstabulation tables and compare means using the t-test. It's also a valuable reference tool for any researcher currently using SAS. SAS Essentials introduces a step-by-step approach to mastering SAS software for statistical data analysis. Through its straightforward approach, the text presents SAS with step-by-step examples. For SAS Users: SAS Essentials: A Guide to Mastering SAS 2nd Edition - provides an introduction to SAS statistical software, the premiere statistical data analysis tool for scientific research. BeSmartNotes: Laminiated reference sheets for SAS, SPSS and WINKS - Click here for info. Software to perform quick analyses - WINKS SDA Statistical Analysis and Graphs - A simple to use andĪffordable statistical software program that will help you analyze,. These data files are the ones used for the The "Monty-Hall" 3-Door Probability Paradox. They include many topics in data analytics including predictive and healthcare as well as business and scientific. Multivariate analysis, t-tests, Bland-Altman analysis and others. Tutorials use the statistics software programs listed above to illustrateĮxamples of analyses that include ANOVA statistics, logistic regression, SAS ® Tutorials (Including Video Tutorials). Interpretation of standard statistical analysis techniques using popularĭata analysis software including SAS Statistics software, SPSS, WINKS StatisticsĪnalysis software and Microsoft Excel (data analysis tool). T hese tutorials briefly explain the use and Video and Text-Based Tutorials Tutorials for Data Analytics, Scientific Reseach, Big Data Analysis, and Healthcare Analytics and Statistical Analysis Want a Simple Statistial Analysis Software Program? Try WINKS SDA
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