Statistical Analysis by Using SPSS
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- Statistical Analysis by Using SPSS
SPSS, renowned as one of the leading statistical packages, offers exceptional capabilities for handling complex data manipulation and analysis through user-friendly commands. Its versatile functionality caters to interactive sessions and non-interactive batch processing, making it an invaluable asset across various industries.
While SPSS remains highly regarded in social science as a cornerstone for statistical analysis, its utility extends far beyond those boundaries. Market researchers, health professionals, survey companies, government entities, education researchers, marketing organisations, data mining specialists, and numerous others rely on SPSS to derive actionable insights from their data.
SPSS's comprehensive suite of features empowers users to navigate the intricacies of data analysis, cementing its status as a trusted solution for professionals across diverse sectors. Its widespread adoption speaks volumes about its capacity to meet the analytical needs of an ever-expanding range of users.
Course Objectives
- Understand and explain vital statistical terms and concepts.
- Develop a solid foundation in statistical terminology used in data analysis.
- Recognise the role and significance of SPSS in statistical analysis.
- Comprehend the advantages and benefits of using SPSS for data analysis.
- Understand different types of measurements (nominal, ordinal, interval, ratio).
- Identify and choose the appropriate statistical tests based on research objectives and data characteristics.
- Understand the assumptions and requirements of different statistical tests.
- Apply statistical techniques to draw meaningful conclusions from the data.
- Utilise SPSS effectively for data entry, manipulation, and analysis.
- Master essential SPSS functions and commands to streamline the analytical process.
Who Should Attend?
All employees of financial and accounting and statistics, studies and research and who require to improve their work on the statistical analysis using SPSS.
Course Outline
- Definition of Statistics and its Scope
- Importance of Statistics in Decision-Making
- Statistical Indicators to Measure Processes
- Averages: Mean, Median, and Mode
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