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We provide spss assignment help and homework help to statistics and econometrics students. We have specialized tutors who can help students to learn the basic functions of spss used for data management, analysis of variance and logistic regression. We provide advanced learning sessions to help students in understanding the strategic application of SPSS in their statistical analysis, assignments and projects.

SPSS (Statistical Package for Social Science) is a software package used for statistical analysis. It was produced by SPSS.inc. In 2009, it was acquired by IBM, which produced the current version of this software in the name of IBM SPSS Statistics. In addition, IBM has produced similar products in the same SPSS unit such as IBM SPSS Data Collection for the purpose of Survey Authoring and Deployment, IBM SPSS Modeler for the purpose of Data Mining, and so on.

SPSS plays an important role in statistical analysis in the area of Social Science, which includes market researches, educational researches, clinical trials, government projects and others. It includes various higher level statistical tools for analyzing huge data. However, the tools available in the base SPSS software are limited, which are listed below:

• Descriptive Statistics - Frequencies.., Descriptives.., Crosstabs, Explore, etc.
• Inferential Statistics - Means, One-Sample t-test, Independent Samples t-test, Paired Samples t-test, One-Way ANOVA, Correlation and Non-Parametric tests
• Prediction of numerical measures - Linear Regression
• Higher level methods such as Factor Analysis, Cluster Analysis, and Discriminant Analysis

In addition, many features are available in SPSS which can be seen by pull-down menus available with the different names such as Data, Transform, Analyze, and Graphs. While using the available built-in functions for performing required analysis, one can save the syntax file of the same, which will help an analyst to perform the same analysis for various data by simply changing/replacing the existing variable with new variables. This will save time and energy while performing more analysis with one or more dataset.

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