This document discusses different types of variables and statistical measures used to analyze and describe data. It defines qualitative vs. quantitative variables and provides examples like nominal, ordinal, discrete, and continuous. It also explains various statistical graphs and measures of central tendency, relative position, and variability including mean, median, mode, range, interquartile range, standard deviation, and coefficient of variation.

2. What is a variable ?

3. Qualitative vs. Quantitative Variables

4. Examples of types of data Quantitative Continuous Discrete Blood pressure, height, weight, age Number of children, Number of attacks of asthma per week Categorical Ordinal (Ordered categories) Nominal (Unordered categories) Grade of breast cancer Better, same, worse Disagree, neutral, agree Sex (male/female) Alive or dead Blood group O, A, B, AB

9. Click of a button

10. Click of a button

11. Click of a button

19. Stem-and-leaf plots

20. Histogram

21. Box-and-Whisker plot

22. Box-and-Whisker plot

23. Scatter Diagram

24. Scatter Diagram

26. Correlation coefficient

27. Correlation coefficient

29. Correlation coefficient v/s Regression analysis

31. Measures of Central Tendency It is calculated as follows.

32. Mean (Arithmetic Mean) or Average

34. Median .

36. Mode

37. Measures of Relative Position (Quantiles)

38. Answer

39. Measures of Variability

40. Measures of Variability

41. Range

42. Interquartile Range

43. Standard Deviation