**Q.** Explain what is the Statistical Problem Solving Process.

**Ans:** 1. Formulate Statistical Investigative Questions – This can also be called as anticipating variability while beginning with the process. Formulating statistical investigative questions that anticipate variability leads to productive investigations.

2. Collect/Consider the Data – This step can be called as acknowledging variability while designing for differences. Data collection designs must acknowledge variability in data.

3. Analyze the Data – This step can also be called as accounting of variability while the distributions. When we analyze the data, we try to understand its variability.

4. Interpret the Results – This step can also be called as allowing for variability while looking beyond the data. Statistical interpretations are made in the presence of variability and must take variability into account.