Creating fictitious data USING SPSS

Fictitious data" in SPSS refers to data that is created artificially for testing, demonstration, or simulation purposes. This type of data is not based on real-world observations but is generated to mimic realistic data patterns and distributions. Fictitious data is commonly used in various scenarios, including:
Testing Analysis Techniques: Researchers and analysts may generate fictitious data to test the validity and robustness of statistical analysis techniques, models, or algorithms without relying on actual data.
Demonstrations and Training: Fictitious data is often used in educational settings or training sessions to demonstrate data analysis techniques, software features, or statistical concepts.
Simulation Studies: In fields such as economics, sociology, and epidemiology, researchers may use fictitious data to simulate complex systems or scenarios and study their behavior under different conditions.
Privacy Protection: In cases where real data cannot be shared due to privacy concerns, fictitious data may be used as a substitute to illustrate analysis procedures or share results publicly without revealing sensitive information