IBM SPSS: Tips and Tricks to Learn and Study Statistics using IBM SPSS from A-Z

For more than 50 years, SPSS has led data science and the statistical market, remaining at the forefront of the changing technological world. Simple and complex statistics can be done easily with IBM SPSS Statistics. "IBM SPSS: Tips and Tricks to Learn and Study about Statistics using IBM SPSS from A-Z" is designed to gain more in-depth and more meaningful knowledge from your data and predict what is likely to happen next. It will allow you to find new opportunities, improve efficiency, and minimize risk in your analysis on IBM SPSS. What Can You Do With IBM SPSS? SPSS Statistics covers the complete process of statistical analysis: planning, data collection, analysis, and reporting, to improve decision making and performance. ● Analytical process: planning, data collection, analysis, reporting, and deployment. ● The powerful performance of model creation, evaluation, and automation. ● Advanced management of models and analysis decisions locally, in the cloud or as a hybrid. ● Big data to extract predictive value information and create effective business strategies. This book offers beginners an understanding-oriented introduction to the central statistical methods of descriptive statistics and inductive inference statistics (applied statistics). It also focuses on learning statistics with SPSS. It provides you with a solid introduction to the basic functions of the statistical software IBM SPSS Statistics with the common methods and procedures of data import, data analysis, and the presentation of results. ● Make graphs, tables for descriptive analysis, and simple or complex statistical processes. Identify relationships between variables, predict trends, and make predictions. ● Apply linear and nonlinear models to the data. ● Expand your statistical analysis capabilities using Bayesian statistics. ● Raise the accuracy of your estimates using the new quantile regression. ● Get accurate results that will help you make sound decisions.

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Дата на публикуване

Аудиокнига: 10 септември 2023 г.