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Chapter 3 Data Description Reference:  Allan G. Bluman (2007)  Elementary Statistics: A Step-by Step Approach .  New York : McGraw Hill
Objectives ,[object Object],[object Object],[object Object],[object Object]
Measures of Central Tendency ,[object Object],[object Object]
The Mean (arithmetic average) ,[object Object],[object Object]
The Sample Mean
The Sample Mean -  Example
The Population Mean
The Population Mean   -   Example
The Sample Mean for an Ungrouped Frequency Distribution The mean for a ungrouped frequency distribution is given by X f X n = ( )  
The Sample Mean for an Ungrouped Frequency Distribution -  Example Score, X Frequency, f 0 2 1 4 2 12 3 4 4 3 5 Score, X 0 2 1 4 2 12 3 4 4 3 5 Frequency, f
The Sample Mean for an Ungrouped Frequency Distribution -  Example 5 Score, X  X 0 2 0 1 4 4 2 12 24 3 4 12 4 3 12 5 Frequency, f f Score, X Frequency, f f  X 0 2 0 1 4 4 2 12 24 3 4 12 4 3 12
The Sample Mean for a Grouped Frequency Distribution The mean for a grouped frequency distribution is given by X f X n Here X is the correspond ing class midpoint. m m = ( )   .
The Sample Mean for a Grouped Frequency Distribution -   Example Class Frequency, f 15.5 - 20.5 3 20.5 - 25.5 5 25.5 - 30.5 4 30.5 - 35.5 3 35.5 - 40.5 2 5 Class 15.5 - 20.5 3 20.5 - 25.5 5 25.5 - 30.5 4 30.5 - 35.5 3 35.5 - 40.5 2 5 Frequency, f
The Sample Mean for a Grouped Frequency Distribution -   Example 35.5 - 40.5 2 38 76 5 Class X  X 15.5 - 20.5 3 18 54 20.5 - 25.5 5 Frequency, f m f m Class Frequency, f X m f  X m 15.5 - 20.5 3 18 54 20.5 - 25.5 5 23 115 25.5 - 30.5 4 28 112 30.5 - 35.5 3 33 99 5 23 115 25.5 - 30.5 4 28 112 30.5 - 35.5 3 33 99 35.5 - 40.5 2 38 76
The Sample Mean for a Grouped  Frequency Distribution -   Example
The Median   ,[object Object],[object Object],[object Object]
The Median -  Example  ,[object Object],[object Object]
The Median -  Example  ,[object Object],[object Object]
The Median   ,[object Object]
The Median   ,[object Object]
The Median -   Example   ,[object Object],[object Object],[object Object],[object Object]
The Median -   Example  ,[object Object],[object Object]
The Median -   Example  ,[object Object],[object Object]
The Median-Ungrouped Frequency Distribution   ,[object Object]
The Median-Ungrouped Frequency Distribution   ,[object Object]
The Median-Ungrouped Frequency Distribution -   Example ,[object Object],No. Sets Sold Frequency 1 4 2 9 3 6 4 2 5 3 No. Sets Sold 1 4 2 9 3 6 4 2 5 3 Frequency
The Median-Ungrouped Frequency Distribution -   Example ,[object Object],[object Object],[object Object],[object Object]
The Median-Ungrouped Frequency Distribution -   Example This class contains the 5th through the 13th values.
The Median for a Grouped Frequency Distribution   class median the of boundary lower L class median the of width w class median the of frequency f class median the preceding immediately class the of frequency cumulative cf frequencies the of sum n Where L w f cf n MD can be computed from: median The m m     ) ( ) 2 (    
The Median for a Grouped Frequency Distribution -   Example Class Frequency, f 15.5 - 20.5 3 20.5 - 25.5 5 25.5 - 30.5 4 30.5 - 35.5 3 35.5 - 40.5 2 5 Class 15.5 - 20.5 3 20.5 - 25.5 5 25.5 - 30.5 4 30.5 - 35.5 3 35.5 - 40.5 2 5 Frequency, f
The Median for a Grouped Frequency Distribution -   Example 5 Class Cumulative 15.5 - 20.5 3 3 20.5 - 25.5 5 8 25.5 - 30.5 4 12 30.5 - 35.5 3 15 35.5 - 40.5 2 17 5 Frequency, f Frequency Class Frequency, f Cumulative Frequency 15.5 - 20.5 3 3 20.5 - 25.5 5 8 25.5 - 30.5 4 12 30.5 - 35.5 3 15 35.5 - 40.5 2 17
[object Object],[object Object],[object Object],[object Object],The Median for a Grouped Frequency Distribution -   Example
The Median for a Grouped Frequency Distribution   = 17 = = = – 20.5 = 5 ( ) ( ) = (17 / 2) – 8 4 = 26.125. n cf f w L MD n cf f w L m m 8 4 25.5 25 5 2 5 25 5      . ( ) .
The Mode ,[object Object],[object Object],[object Object]
The Mode -   Examples ,[object Object],[object Object],[object Object]
The Mode -   Examples ,[object Object],[object Object],[object Object]
The Mode -   Examples ,[object Object],[object Object],[object Object]
The Mode for an Ungrouped Frequency Distribution -   Example Values Frequency, f 15 3 20 5 25 8 30 3 35 2 5 Values 15 3 20 5 25 8 30 3 35 2 5 Mode Frequency, f
The Mode - Grouped Frequency  Distribution ,[object Object],[object Object],[object Object]
The Mode for a Grouped Frequency Distribution -   Example Modal Class
The Midrange ,[object Object],[object Object],[object Object]
The Midrange -   Example ,[object Object],[object Object]
The Weighted Mean ,[object Object],[object Object]
The Weighted Mean
Distribution Shapes ,[object Object],[object Object]
Positively Skewed   X Y M o d e < M e d i a n < M e a n P o s i t i v e l y S k e w e d
Symmetrical   n Y X S y m m e t r i c a l M e a n = M e d i a = M o d e
Negatively Skewed   < M e d i a n < M o d e Y X N e g a t i v e l y S k e w e d M e a n
Measures of Variation - Range ,[object Object],[object Object],[object Object]
Measures of Variation - Population Variance
Measures of Variation - Population Standard Deviation
[object Object],[object Object],[object Object],Measures of Variation -   Example
Measures of Variation -   Example
Measures of Variation - Sample  Variance The unbias ed estimat or of the  population variance o r the samp le varianc e is a  statistic  whose valu e approxim ates the expected v alue of a  population variance. It is deno ted by s 2 , ( ) , where s X X n and X sample mean n sample size = = 2 2 1    
Measures of Variation - Sample Standard Deviation The sample standard  deviation  is the squ are root of  t he sample  variance. = 2 s s X X n     ( ) . 2 1
Shortcut Formula   for the Sample  Variance and the Standard Deviation = = X X n n s X X n n 2 2 2 2 1 1         ( ) / ( ) / s 2
[object Object],[object Object],[object Object],Sample Variance -   Example
Sample Variance -   Example = 1263  (79) = 3.7 = 3.7 2 s X X n n s 2 2 2 1 5 4 1 9       ( ) / / . .
[object Object],[object Object],Sample Variance for Grouped and Ungrouped Data
Sample Variance for Grouped and Ungrouped Data The sample variance  for groupe d data: = s f X f X n n m m 2 2 2 1       [( ) / ] . For ungrouped data, replace X m  with the observe X  value.
Sample Variance for Ungrouped Data   -   Example X f f  X f  X 2 5 2 10 50 6 3 18 108 7 8 56 392 8 1 8 64 9 6 54 486 10 4 40 400 n = 24  f  X = 186  f  X 2  = 1500 X f f  X f  X 2 5 2 10 50 6 3 18 108 7 8 56 392 8 1 8 64 9 6 54 486 10 4 40 400 n = 24  f  X = 186  f  X 2  = 1500
Sample Variance for Ungrouped Data   -   Example The sample variance  and standa rd deviati on: = = 1500  [(186) 2 s f X f X n n s 2 2 2 1 24 23 2 54 2 54 1 6          [( ) / ] / ] . . . . .
[object Object],Coefficient of Variation CVar s X or CVar    100% 100%. =  
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Coefficient of Variation
Chebyshev’s Theorem ,[object Object],[object Object]
Chebyshev’s Theorem ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Empirical (Normal) Rule ,[object Object],[object Object],[object Object],[object Object]
The Empirical (Normal) Rule          -- 95%                                  
Measures of Position —  z  score ,[object Object],[object Object]
[object Object],Measures of Position — z-score For samples z X X s For population s z X : . : .      
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],z-score -   Example
Measures of Position - Percentiles ,[object Object],[object Object]
Percentile Formula ,[object Object],Percentile number of values below X  + 0.5   total number of values   100%
Percentiles - Example ,[object Object],[object Object],[object Object]
Percentiles - Finding the value Corresponding to a Given Percentile ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Percentiles - Finding the value Corresponding to a Given Percentile ,[object Object],[object Object],[object Object],[object Object],[object Object]
Percentiles - Finding the value Corresponding to a Given Percentile ,[object Object],[object Object]
Special Percentiles - Deciles and  Quartiles ,[object Object],[object Object],[object Object]
Special Percentiles - Deciles and  Quartiles   ,[object Object],[object Object]
Special Percentiles - Quartiles   ,[object Object],[object Object],[object Object],[object Object],[object Object]
Outliers and the Interquartile Range (IQR) ,[object Object],[object Object]
Outliers and the Interquartile Range (IQR) ,[object Object],[object Object],[object Object],[object Object],[object Object]
Outliers and the Interquartile Range (IQR) ,[object Object],[object Object],[object Object]
Outliers and the  Interquartile Range (IQR) -  Example ,[object Object],[object Object],[object Object],[object Object],[object Object]
Exploratory Data Analysis - Stem and Leaf Plot ,[object Object]
[object Object],Exploratory Data Analysis - Stem and Leaf Plot -  Example
Exploratory Data Analysis – Stem and Leaf Plot -  Example Leading Digit (Stem)  Trailing Digit (Leaf) 0  2 1  3  4 2  0  3  5 3  1  2  2  2  2  3  6 4  3  4  4  5 5  1  2  7
Exploratory Data Analysis - Box Plot ,[object Object]
Exploratory Data Analysis - Box Plot ,[object Object]
Exploratory Data Analysis - Box Plot ,[object Object]
Exploratory Data Analysis - Box Plot -  Example  (Cardiograms data)
Information Obtained from a Box   Plot ,[object Object],[object Object],[object Object]
Information Obtained from a Box   Plot ,[object Object],[object Object],[object Object]

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Chapter 3 260110 044503

  • 1. Chapter 3 Data Description Reference: Allan G. Bluman (2007) Elementary Statistics: A Step-by Step Approach . New York : McGraw Hill
  • 2.
  • 3.
  • 4.
  • 6. The Sample Mean - Example
  • 9. The Sample Mean for an Ungrouped Frequency Distribution The mean for a ungrouped frequency distribution is given by X f X n = ( )  
  • 10. The Sample Mean for an Ungrouped Frequency Distribution - Example Score, X Frequency, f 0 2 1 4 2 12 3 4 4 3 5 Score, X 0 2 1 4 2 12 3 4 4 3 5 Frequency, f
  • 11. The Sample Mean for an Ungrouped Frequency Distribution - Example 5 Score, X  X 0 2 0 1 4 4 2 12 24 3 4 12 4 3 12 5 Frequency, f f Score, X Frequency, f f  X 0 2 0 1 4 4 2 12 24 3 4 12 4 3 12
  • 12. The Sample Mean for a Grouped Frequency Distribution The mean for a grouped frequency distribution is given by X f X n Here X is the correspond ing class midpoint. m m = ( )   .
  • 13. The Sample Mean for a Grouped Frequency Distribution - Example Class Frequency, f 15.5 - 20.5 3 20.5 - 25.5 5 25.5 - 30.5 4 30.5 - 35.5 3 35.5 - 40.5 2 5 Class 15.5 - 20.5 3 20.5 - 25.5 5 25.5 - 30.5 4 30.5 - 35.5 3 35.5 - 40.5 2 5 Frequency, f
  • 14. The Sample Mean for a Grouped Frequency Distribution - Example 35.5 - 40.5 2 38 76 5 Class X  X 15.5 - 20.5 3 18 54 20.5 - 25.5 5 Frequency, f m f m Class Frequency, f X m f  X m 15.5 - 20.5 3 18 54 20.5 - 25.5 5 23 115 25.5 - 30.5 4 28 112 30.5 - 35.5 3 33 99 5 23 115 25.5 - 30.5 4 28 112 30.5 - 35.5 3 33 99 35.5 - 40.5 2 38 76
  • 15. The Sample Mean for a Grouped Frequency Distribution - Example
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28. The Median-Ungrouped Frequency Distribution - Example This class contains the 5th through the 13th values.
  • 29. The Median for a Grouped Frequency Distribution class median the of boundary lower L class median the of width w class median the of frequency f class median the preceding immediately class the of frequency cumulative cf frequencies the of sum n Where L w f cf n MD can be computed from: median The m m     ) ( ) 2 (    
  • 30. The Median for a Grouped Frequency Distribution - Example Class Frequency, f 15.5 - 20.5 3 20.5 - 25.5 5 25.5 - 30.5 4 30.5 - 35.5 3 35.5 - 40.5 2 5 Class 15.5 - 20.5 3 20.5 - 25.5 5 25.5 - 30.5 4 30.5 - 35.5 3 35.5 - 40.5 2 5 Frequency, f
  • 31. The Median for a Grouped Frequency Distribution - Example 5 Class Cumulative 15.5 - 20.5 3 3 20.5 - 25.5 5 8 25.5 - 30.5 4 12 30.5 - 35.5 3 15 35.5 - 40.5 2 17 5 Frequency, f Frequency Class Frequency, f Cumulative Frequency 15.5 - 20.5 3 3 20.5 - 25.5 5 8 25.5 - 30.5 4 12 30.5 - 35.5 3 15 35.5 - 40.5 2 17
  • 32.
  • 33. The Median for a Grouped Frequency Distribution = 17 = = = – 20.5 = 5 ( ) ( ) = (17 / 2) – 8 4 = 26.125. n cf f w L MD n cf f w L m m 8 4 25.5 25 5 2 5 25 5      . ( ) .
  • 34.
  • 35.
  • 36.
  • 37.
  • 38. The Mode for an Ungrouped Frequency Distribution - Example Values Frequency, f 15 3 20 5 25 8 30 3 35 2 5 Values 15 3 20 5 25 8 30 3 35 2 5 Mode Frequency, f
  • 39.
  • 40. The Mode for a Grouped Frequency Distribution - Example Modal Class
  • 41.
  • 42.
  • 43.
  • 45.
  • 46. Positively Skewed X Y M o d e < M e d i a n < M e a n P o s i t i v e l y S k e w e d
  • 47. Symmetrical n Y X S y m m e t r i c a l M e a n = M e d i a = M o d e
  • 48. Negatively Skewed < M e d i a n < M o d e Y X N e g a t i v e l y S k e w e d M e a n
  • 49.
  • 50. Measures of Variation - Population Variance
  • 51. Measures of Variation - Population Standard Deviation
  • 52.
  • 54. Measures of Variation - Sample Variance The unbias ed estimat or of the population variance o r the samp le varianc e is a statistic whose valu e approxim ates the expected v alue of a population variance. It is deno ted by s 2 , ( ) , where s X X n and X sample mean n sample size = = 2 2 1    
  • 55. Measures of Variation - Sample Standard Deviation The sample standard deviation is the squ are root of t he sample variance. = 2 s s X X n     ( ) . 2 1
  • 56. Shortcut Formula for the Sample Variance and the Standard Deviation = = X X n n s X X n n 2 2 2 2 1 1         ( ) / ( ) / s 2
  • 57.
  • 58. Sample Variance - Example = 1263  (79) = 3.7 = 3.7 2 s X X n n s 2 2 2 1 5 4 1 9       ( ) / / . .
  • 59.
  • 60. Sample Variance for Grouped and Ungrouped Data The sample variance for groupe d data: = s f X f X n n m m 2 2 2 1       [( ) / ] . For ungrouped data, replace X m with the observe X value.
  • 61. Sample Variance for Ungrouped Data - Example X f f  X f  X 2 5 2 10 50 6 3 18 108 7 8 56 392 8 1 8 64 9 6 54 486 10 4 40 400 n = 24  f  X = 186  f  X 2 = 1500 X f f  X f  X 2 5 2 10 50 6 3 18 108 7 8 56 392 8 1 8 64 9 6 54 486 10 4 40 400 n = 24  f  X = 186  f  X 2 = 1500
  • 62. Sample Variance for Ungrouped Data - Example The sample variance and standa rd deviati on: = = 1500  [(186) 2 s f X f X n n s 2 2 2 1 24 23 2 54 2 54 1 6          [( ) / ] / ] . . . . .
  • 63.
  • 64.
  • 65.
  • 66.
  • 67.
  • 68. The Empirical (Normal) Rule        -- 95%                                
  • 69.
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  • 87. Exploratory Data Analysis – Stem and Leaf Plot - Example Leading Digit (Stem) Trailing Digit (Leaf) 0 2 1 3 4 2 0 3 5 3 1 2 2 2 2 3 6 4 3 4 4 5 5 1 2 7
  • 88.
  • 89.
  • 90.
  • 91. Exploratory Data Analysis - Box Plot - Example (Cardiograms data)
  • 92.
  • 93.

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