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Graphical presentation of data

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Transcript

  • 1.  
  • 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
  • 5.  
  • 6.  
  • 7.  
  • 8.  
  • 9. Click of a button
  • 10. Click of a button
  • 11. Click of a button
  • 12.  
  • 13.  
  • 14.  
  • 15.  
  • 16.  
  • 17.  
  • 18.  
  • 19. Stem-and-leaf plots
  • 20. Histogram
  • 21. Box-and-Whisker plot
  • 22. Box-and-Whisker plot
  • 23. Scatter Diagram
  • 24. Scatter Diagram
  • 25.  
  • 26. Correlation coefficient
  • 27. Correlation coefficient
  • 28.  
  • 29. Correlation coefficient v/s Regression analysis
  • 30.  
  • 31. Measures of Central Tendency It is calculated as follows.
  • 32. Mean (Arithmetic Mean) or Average
  • 33.  
  • 34. Median .
  • 35.  
  • 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
  • 44.
    • measures variability in relation to the mean (or average) and is used to compare the relative dispersion in one type of data with the relative dispersion in another type of data.
    • The data to be compared may be in the same units, in different units, with the same mean, or with different means.
    Coefficient of Variation
  • 45.  
  • 46.