Explain the importance of tabulation and graphical presentation of data in research. Provide examples of when you would use a histogram versus a frequency polygon.

Describe the key differences between qualitative and quantitative data. Give two real-world examples of each type.

Discuss the steps involved in performing linear regression analysis. What does the slope coefficient indicate?

Compare random sampling and convenience sampling methods. Highlight one advantage and one limitation of each.

Explain the concept of 'Design of Experiments' (DoE). How does it improve research validity?

What are the properties of a normal distribution? How is it used in hypothesis testing?

Describe the process of creating a histogram in Excel. What are the common pitfalls to avoid?

How does MATLAB differ from Origin in data analysis? Provide one use case where each tool is preferred.

Explain the terms 'accuracy' and 'precision' with examples. Why are both critical in scientific research?

What is Spearman’s rank correlation? When would you use it instead of Pearson’s correlation?

Discuss the applications of probability distributions (Binomial/Normal) in real-world scenarios.

Outline the steps to perform correlation analysis in Origin. Interpret a correlation coefficient of -0.85.

What are sampling distributions? How do they relate to confidence intervals?

Explain the Central Limit Theorem (CLT) and its significance in statistical analysis.

Describe how you would use Excel to calculate descriptive statistics (mean, median, SD) for a dataset.