What role do statistical tests play in data analysis, and how do you determine which test to apply to a given data set?
**What are the key steps in the data analysis process, and why is each step important?
2. **How can exploratory data analysis (EDA) help in understanding the underlying patterns in a dataset?
3. **What are some common statistical methods used in data analysis, and how do you determine which method to use for a specific dataset?
4. **How do you handle missing or incomplete data in a dataset before analysis?
5. **What tools and technologies are commonly used in data analysis, and how do they differ in terms of capabilities and applications?
**What are the key steps involved in the data analysis process, and how do they contribute to effective decision-making?
2. **How can data visualization techniques enhance the interpretation and communication of data analysis results to stakeholders?
3. **What are the common challenges faced during data cleaning and preprocessing, and what strategies can be employed to overcome them?
4. **How do you determine which statistical methods or machine learning models are most appropriate for a given dataset and analysis goal?
