SlideShare a Scribd company logo
1 of 43
Central Tendency




          Prof Vivek Katare
          Shantiniketan Business School
          Nagpur
Center: a representative or average
 value that indicates where the
 middle of the data set is located

 Center of all colours
        BLACK
   The most common characteristic to measure
    is the center the dataset. Often people talk
    about the AVERAGE.




    ◦ The average American man is six feet, one inches
      tall
   “Average” Is ambiguous, since several
    different methods can be used to obtain an
    average
   Loosely stated, the average means the center
    of the distribution or the most typical case

   Measures of Average are also called the
    Measures of Central Tendency
     Mean
     Median
     Mode
   Measures of Center is the data value(s) at
    the center or middle of a data set

   Mean
   Median
   Mode

    ◦ We will consider the definition, calculation
      (formula), advantages, disadvantages,
      properties, and uses for each measure of central
      tendency
   Notation                         Mean of a set of
    ◦ ∑ (sigma) denotes the           sample values (read
      sum of a set of values          as x-bar)
    ◦ x is the variable usually
      used to represent the     x1 x2 x3 ......... xn
      individual data values
    ◦ n represents the
                              x
      number of values in a             n
      sample
    ◦ N represents the                          x
     number of values in a            x
     population                             n
   Ex: The number of highway miles per gallon
    of the 10 worst vehicles is given:

        12       15         13        14
        15       16         17        16
        17       18
  12 15 13 14 15 16 17 16 17 18
x
                10
        153
    x           15.3
        10
Example (2):
Given the following frequency
distribution of first year students
of a particular School.

Age (Years)     13    14   15    16   17

Number of
Students        2     5    13    7    3
Solution:
The given distribution belongs to a grouped data and the variable involved is
ages of first year students. While the number of students represent frequencies.

        Ages (Years)          Number of                    f .x
               X              Students (f)
        13                    2                      26

        14                    5                      70

        15                    13                     195

        16                    7                      112

        17                    3                      51

        Total                        f   30                fx 454

                                  fx 454
                       x                 15.13
                                  f 30
Example (3):
The following data shows distance
covered by 100 persons to perform their
routine job

Distance (Km)    :   0-10 10-20 20-30 30-40
No. of Persons   :    10   20    40    30
Solution………..

     Distance(Km)   No. of       Mid      f.x
                    Persons      Points
                    (f)          x
     0-10           10           5        50
     10-20          20           15       300
     20-30          40           25       1000
     30-40          30           35       1050

                         f 100              fx 2400

                         fx 2400
                x                24
                         f 100
   Is the middle value when the raw data values are
    arranged in order from smallest to largest or vice
    versa

   Is used when one must find the center or midpoint of
    a data set

   Is used when one must determine whether the data
    values fall into the upper half or lower half of the
    distribution

   Does not have to be an original data value

   Various notations: MD, Med
   Arrange data in order       Arrange data in order
    from smallest to             from smallest to
    largest                      largest

   Find the data value in      Find the mean of the
    the “exact” middle           TWO middle numbers
                                 (there is no “exact”
                                 middle)



Odd Number of Data           Even Number of Data
Values (n is odd)            Values (n is even)
   The number of highway miles per gallon of the
    10 worst vehicles is given:

       12         15          13         14
       15         16          17         16
       17         18
   Find the median.
   Solution: Arrange data in the ascending
    order…

We get
       12         13        14         15
       15         16        16         17
       17         18
                15 16 31
            Med          15.5
                  2   2
Example 2:
Find the Median of the following
distribution

X    :    1     2    3    4    5    6
f    :    7     12   17   19   21   24



Solution………..
X                        f       Cumulative
                                         Frequency
        1                        7               7
        2                        12              19
        3                        17              36
        4                        19              55
        5                        21              76
        6                        24             100
                             N=100
                 N 1
Med = Value of    2
                       th item
            100 1 i.e 50.5 th item , which nearly belongs to c.f. of 55
Med
              2                                    Hence Median = 4
Example 3:
Find the Median and Median Class of the
following distribution

X    :    15-25 25-35 35-45 45-55 55-65   65-75
f    :      4    11    19    14     0       2



Solution………..
Class                       f               Cumulative Freq.
         interval
          15-25                       4                        4
          25-35                       11                      15
          35-45                       19                      34
          45-55                       14                      48
          55-65                       0                       48
          65-75                       2                       50
                                     N=50
                                 N                    50
  Median Number = Value of       2   th element i.e        25th    element,
                                                       2
and this value lies in cumulative freq. (34) for the class interval (35-45).

So the median class is (35-45)
Hence                       N
                                c
Median    Med      Lm     ( 2 ).i
                              f
Where

Lm = 35
c = 15
f =19
i =10     put these values in above formula
25 15
Med 35 [       ].10
           19
    100
 35      35 5.26 40.26
     19
Example 4:
Find the Median for following data

Value : 0-4 5-9 10-19 20-29 30-39 40-49 50-59 60-69
Freq. : 328 350 720 664 598 524 378 244


Solution………..
Class            Class                f           Cumulative
      interval       Distribution                        Freq.
        0-9            -0.5-9.5             678              678
      10-19            9.5-19.5             720              1398
      20-29           19.5-29.5             664              2062
      30-39           29.5-39.5             598              2660
      40-49           39.5-49.5             524              3184
      50-59           49.5-59.5             378              3562
      60-69           59.5-69.5             244              3806


                               N
  Median Number = Value of     2    th element i.e 3806 1903rd element,
                                                     2
and this value lies in cumulative freq. (2062) for the
class distribution (19.5-29.5).

So the median class is(19.5-29.5)
Hence                         N
                                  c
Median      Med      Lm     ( 2 ).i
                                f
Where

Lm = 19.5
C = 1398
f =664
I =10       put these values in above formula
1903 1398
Med 19.5 [             ].10
                 664
        505           5050
 19.5 [     ].10 19.5
        664             664
 19.5 7.60 27.1
Example 5:
Find missing frequency from the following
data, given that the median marks is 23
Marks      :   0-10   10-20   20-30   30-40   40-50

No. of
Students   :    5      8       ?       6        3
Solution………..
  Let, the missing frequency is β.

      Marks (x)          No. of students (f)       Cumulative
                                                   Frequency
        0-10                     5                      5
       10-20                     8                     13
       20-30                      β                   13+β

       30-40                     6                    19+β

       40-50                     3                    22+β



       Given median is 23. hence the median class is (20-30).
       and N= (22+β)
Hence                       N
                                c
Median    Med      Lm     ( 2 ).i
                              f
Where

Lm = 20
c = 13
f =β
i =10     put these values in above formula
22
                                 13
Med    20 [            2              ].10

             22             26
23    20 [                       ].5

           110 5             130
23    20

      110 25               130
23
23        110       25           130
 2        20
       10

So, the missing frequency is 10
   Is the data value(s) that occurs most often in
    a data set
   Is not always unique. A data set can have
    more than one mode, or the mode may not
    exist for a data set
   Has no “special” symbol
   Look for the number(s) that occur the most
    often in the data set
Example 1)
Find mode of following data
2, 7, 10, 15, 10, 17, 8, 10, 2

Solution:
Size of element          :       2 7 8 10 15 17
No. of times it occur    :       2 1 1 3 1 1

Number 10 is observed three times in above
data set
Hence 10 is the mode of above data set.
To find the Mode of grouped data we have following
 formula
                                   fm      f1
     Mode          Lm [                              ]i
                             2 fm       f1      f2
Where
• Lm is the lower class limit of the modal class
• fm is the frequency of the modal class
• f1 is the frequency of the class before the modal class in
      the frequency table
• f2 is the frequency of the class after the modal class in
      the frequency table
• i  is the class interval of the modal class
Example 2:
Find the Mode of following data
Weight (in Kg.) : 30-35 35-40 40-45   45-50   50-55   55-60
No. of Students :   5      9    14       22    16       4




Solution………..

                                          Prof Vivek Katare
                                          Shantiniketan Business School
                                          Nagpur
Here the class interval (45-50) has the maximum frequency,
i.e. 22, therefore, modal class is (45-50).

Hence
                                      fm       f   1
   Mode            Lm        [                                 ]i
                                 2 fm      f   1       f   2
We have,
            • Lm =45
            • fm =22
            • f1 =14
            • f2 =16
            • i =5         put these values in above formula

                                22 14
             Mode       45 [             ]5
                             2(22) 14 16
8
Mode   45   [                  ]5
                44   14   16
       8
 45 [ ]5
      14
     20
 45
      7
 45 2.85
 47.85
Example 3:
The following are the marks obtained by students in a
class test. Find the modal marks.
               Marks         Students
               32-35           10
               36-39           37
               40-43           65
               44-47           80
               48-51           51
               52-55           35
               56-59           18
               60-63            4
Solution:
   Class(Marks)           Class             frequency
                       Distribution
       32-35            31.5-35.5               10
       36-39            35.5-39.5               37
       40-43            39.5-43.5               65
       44-47            43.5-47.5               80        Modal class
       48-51            47.5-51.5               51
       52-55            51.5-55.5               35
       56-59            55.5-59.5               18
       60-63            59.5-63.5                4

It is clear from the data that the mode lies in the class 43.5-47.5
Hence
                                  fm        f    1
Mode           Lm        [                                   ]i
                             2 fm       f   1        f   2
We have

• Lm =43.5
•   fm =80
•   f1 =65
•   f2 =51
•   i =4     put these values in above formula



                           80 65
        Mode     43.5 [            ]4
                        2(80) 65 51
15
Mode 43.5 [           ]4
           160 65   51
        15
 43.5 [ ]4
        44
       15
 43.5
       11
 43.5 1.36
 44.86
Assignment

1) Calculate Mean, Median and Mode of the data given below:

     X        0.5    1.2      0.9    1    0.6   0.8   1.8    0.9    2.2   1.1

 2) Calculate Mean, Median and Mode of the information given below:

Class         0-4       5-9    10-       15-    20-    25-         30-    35-     40-
Interval                       14        19     24     29          34     39      44
Freq.          8        10      11        13     25         13      10      5      5

  3) Find Mean, Median of the following data:

        Age        Belo       20         30     40      50          60      70         80
                   w 10
  No. of            5         25         60     105     180        250      275     320
  Persons
4) The mean marks of 100 students were found to be 40. Later on, it
   was discovered that a score of 53 was misread as 83. Find the
   correct mean corresponding to the correct score.

5) Mean of 200 observations is found to be 50. If at the time of
   computation, two items are wrongly taken as 40 and 28 instead of 4
   and 82. Find the correct mean.

6) Calculate Median and Mode for the distribution of the weights of 150
   students from the data given below:


  Class         30-40    40-50    50-60    60-70     70-80    80-90
  Interval
  Freq.           18       37       45        27       15        8
7) Construct the Frequency table for the following data regarding
   annual profits, in thousands of rupees in 50 firms by taking class
   intervals as per your convenience.
   Find Mean, Median and Mode.

   28   35       61      29       36      48       57      67       69
   50   48       40      47       42      41       37      51       62
   63   33       31      31       34      40       38      37       60
   51   54       56      37       46      42       38      61       59
   58   44       39      57       38      44       45      45       47
   38   44       47      47       64




                                            Prof Vivek Katare
                                            Shantiniketan Business School
                                            Nagpur

More Related Content

What's hot

Introduction to statistics
Introduction to statisticsIntroduction to statistics
Introduction to statisticsmadan kumar
 
quartiles,deciles,percentiles.ppt
quartiles,deciles,percentiles.pptquartiles,deciles,percentiles.ppt
quartiles,deciles,percentiles.pptSyedSaifUrRehman3
 
Quartile in Statistics
Quartile in StatisticsQuartile in Statistics
Quartile in StatisticsHennaAnsari
 
Quartiles, Deciles and Percentiles
Quartiles, Deciles and PercentilesQuartiles, Deciles and Percentiles
Quartiles, Deciles and PercentilesMuhammad Amir Sohail
 
frequency distribution & graphs
frequency distribution & graphsfrequency distribution & graphs
frequency distribution & graphsTirtha_Nil
 
Mean, median, and mode
Mean, median, and modeMean, median, and mode
Mean, median, and modeguest455435
 
Mean Median Mode
Mean Median ModeMean Median Mode
Mean Median Modehiratufail
 
Correlation and regression
Correlation and regressionCorrelation and regression
Correlation and regressionAjendra7846
 
Introduction to Statistics - Basic concepts
Introduction to Statistics - Basic conceptsIntroduction to Statistics - Basic concepts
Introduction to Statistics - Basic conceptsDocIbrahimAbdelmonaem
 
Introduction to Statistics
Introduction to StatisticsIntroduction to Statistics
Introduction to StatisticsSaurav Shrestha
 
Correlation analysis ppt
Correlation analysis pptCorrelation analysis ppt
Correlation analysis pptAnil Mishra
 
Statistic Level of Measurement
Statistic Level of MeasurementStatistic Level of Measurement
Statistic Level of MeasurementDebra Wallace
 
Ppt central tendency measures
Ppt central tendency measuresPpt central tendency measures
Ppt central tendency measuresMtMt37
 
Descriptive statistics
Descriptive statisticsDescriptive statistics
Descriptive statisticsAiden Yeh
 

What's hot (20)

Introduction to statistics
Introduction to statisticsIntroduction to statistics
Introduction to statistics
 
quartiles,deciles,percentiles.ppt
quartiles,deciles,percentiles.pptquartiles,deciles,percentiles.ppt
quartiles,deciles,percentiles.ppt
 
Quartile in Statistics
Quartile in StatisticsQuartile in Statistics
Quartile in Statistics
 
Quartiles, Deciles and Percentiles
Quartiles, Deciles and PercentilesQuartiles, Deciles and Percentiles
Quartiles, Deciles and Percentiles
 
Mode
ModeMode
Mode
 
frequency distribution & graphs
frequency distribution & graphsfrequency distribution & graphs
frequency distribution & graphs
 
Mean, median, and mode
Mean, median, and modeMean, median, and mode
Mean, median, and mode
 
Mean Median Mode
Mean Median ModeMean Median Mode
Mean Median Mode
 
Correlation and regression
Correlation and regressionCorrelation and regression
Correlation and regression
 
Introduction to Statistics - Basic concepts
Introduction to Statistics - Basic conceptsIntroduction to Statistics - Basic concepts
Introduction to Statistics - Basic concepts
 
Introduction to Statistics
Introduction to StatisticsIntroduction to Statistics
Introduction to Statistics
 
Median & mode
Median & modeMedian & mode
Median & mode
 
Correlation analysis ppt
Correlation analysis pptCorrelation analysis ppt
Correlation analysis ppt
 
coefficient variation
coefficient variationcoefficient variation
coefficient variation
 
Statistic Level of Measurement
Statistic Level of MeasurementStatistic Level of Measurement
Statistic Level of Measurement
 
Quartile
QuartileQuartile
Quartile
 
Ppt central tendency measures
Ppt central tendency measuresPpt central tendency measures
Ppt central tendency measures
 
Percentile
PercentilePercentile
Percentile
 
Classes
ClassesClasses
Classes
 
Descriptive statistics
Descriptive statisticsDescriptive statistics
Descriptive statistics
 

Similar to Central tendency

Statistics Math project class 10th
Statistics Math project class 10thStatistics Math project class 10th
Statistics Math project class 10thRiya Singh
 
MEASURES-OF-CENTRAL-TENDENCIES-1[1] [Autosaved].pptx
MEASURES-OF-CENTRAL-TENDENCIES-1[1] [Autosaved].pptxMEASURES-OF-CENTRAL-TENDENCIES-1[1] [Autosaved].pptx
MEASURES-OF-CENTRAL-TENDENCIES-1[1] [Autosaved].pptxamadapaulo
 
analytical representation of data
 analytical representation of data analytical representation of data
analytical representation of dataUnsa Shakir
 
Measures of central tendency
Measures of central tendencyMeasures of central tendency
Measures of central tendencyManu Antony
 
Measures of Central Tendancy
Measures of Central TendancyMeasures of Central Tendancy
Measures of Central TendancyMARIAPPANM4
 
Central tendency and Variation or Dispersion
Central tendency and Variation or DispersionCentral tendency and Variation or Dispersion
Central tendency and Variation or DispersionJohny Kutty Joseph
 
Central tendency
Central tendencyCentral tendency
Central tendencyAnil Kr Jha
 
Mean, Median, Mode: Measures of Central Tendency
Mean, Median, Mode: Measures of Central Tendency Mean, Median, Mode: Measures of Central Tendency
Mean, Median, Mode: Measures of Central Tendency Jan Nah
 
Different analytical techniques in management
Different analytical techniques in managementDifferent analytical techniques in management
Different analytical techniques in managementSohel Rana
 
MEASURES-OF-CENTRAL-TENDENCY-lecture-edited.pptx
MEASURES-OF-CENTRAL-TENDENCY-lecture-edited.pptxMEASURES-OF-CENTRAL-TENDENCY-lecture-edited.pptx
MEASURES-OF-CENTRAL-TENDENCY-lecture-edited.pptxJhayMarkMaltoLacsam
 
Analysis and interpretation of Assessment.pptx
Analysis and interpretation of Assessment.pptxAnalysis and interpretation of Assessment.pptx
Analysis and interpretation of Assessment.pptxAeonneFlux
 
Statistical methods
Statistical methods Statistical methods
Statistical methods rcm business
 

Similar to Central tendency (20)

Statistics
StatisticsStatistics
Statistics
 
measures-of-central-tendency.pdf
measures-of-central-tendency.pdfmeasures-of-central-tendency.pdf
measures-of-central-tendency.pdf
 
Median and mode
Median and modeMedian and mode
Median and mode
 
Statistics Math project class 10th
Statistics Math project class 10thStatistics Math project class 10th
Statistics Math project class 10th
 
MEASURES-OF-CENTRAL-TENDENCIES-1[1] [Autosaved].pptx
MEASURES-OF-CENTRAL-TENDENCIES-1[1] [Autosaved].pptxMEASURES-OF-CENTRAL-TENDENCIES-1[1] [Autosaved].pptx
MEASURES-OF-CENTRAL-TENDENCIES-1[1] [Autosaved].pptx
 
STATISTICS AND PROBABILITY.pptx
STATISTICS AND PROBABILITY.pptxSTATISTICS AND PROBABILITY.pptx
STATISTICS AND PROBABILITY.pptx
 
analytical representation of data
 analytical representation of data analytical representation of data
analytical representation of data
 
Measures of central tendency
Measures of central tendencyMeasures of central tendency
Measures of central tendency
 
Chapter 3
Chapter 3Chapter 3
Chapter 3
 
averages
averagesaverages
averages
 
Measures of Central Tendancy
Measures of Central TendancyMeasures of Central Tendancy
Measures of Central Tendancy
 
Central tendency and Variation or Dispersion
Central tendency and Variation or DispersionCentral tendency and Variation or Dispersion
Central tendency and Variation or Dispersion
 
Central tendency
Central tendencyCentral tendency
Central tendency
 
Mean, Median, Mode: Measures of Central Tendency
Mean, Median, Mode: Measures of Central Tendency Mean, Median, Mode: Measures of Central Tendency
Mean, Median, Mode: Measures of Central Tendency
 
Central tendency m,m,m 1.2
Central tendency m,m,m 1.2Central tendency m,m,m 1.2
Central tendency m,m,m 1.2
 
Different analytical techniques in management
Different analytical techniques in managementDifferent analytical techniques in management
Different analytical techniques in management
 
statistics 10th (1) (3).pdf
statistics 10th (1) (3).pdfstatistics 10th (1) (3).pdf
statistics 10th (1) (3).pdf
 
MEASURES-OF-CENTRAL-TENDENCY-lecture-edited.pptx
MEASURES-OF-CENTRAL-TENDENCY-lecture-edited.pptxMEASURES-OF-CENTRAL-TENDENCY-lecture-edited.pptx
MEASURES-OF-CENTRAL-TENDENCY-lecture-edited.pptx
 
Analysis and interpretation of Assessment.pptx
Analysis and interpretation of Assessment.pptxAnalysis and interpretation of Assessment.pptx
Analysis and interpretation of Assessment.pptx
 
Statistical methods
Statistical methods Statistical methods
Statistical methods
 

Recently uploaded

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MIND CTI
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingEdi Saputra
 
Manulife - Insurer Innovation Award 2024
Manulife - Insurer Innovation Award 2024Manulife - Insurer Innovation Award 2024
Manulife - Insurer Innovation Award 2024The Digital Insurer
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024SynarionITSolutions
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?Igalia
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdflior mazor
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodJuan lago vázquez
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...apidays
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAndrey Devyatkin
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CVKhem
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoffsammart93
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyKhushali Kathiriya
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Neo4j
 

Recently uploaded (20)

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
Manulife - Insurer Innovation Award 2024
Manulife - Insurer Innovation Award 2024Manulife - Insurer Innovation Award 2024
Manulife - Insurer Innovation Award 2024
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 

Central tendency

  • 1. Central Tendency Prof Vivek Katare Shantiniketan Business School Nagpur
  • 2. Center: a representative or average value that indicates where the middle of the data set is located Center of all colours BLACK
  • 3. The most common characteristic to measure is the center the dataset. Often people talk about the AVERAGE. ◦ The average American man is six feet, one inches tall
  • 4. “Average” Is ambiguous, since several different methods can be used to obtain an average  Loosely stated, the average means the center of the distribution or the most typical case  Measures of Average are also called the Measures of Central Tendency  Mean  Median  Mode
  • 5. Measures of Center is the data value(s) at the center or middle of a data set  Mean  Median  Mode ◦ We will consider the definition, calculation (formula), advantages, disadvantages, properties, and uses for each measure of central tendency
  • 6. Notation  Mean of a set of ◦ ∑ (sigma) denotes the sample values (read sum of a set of values as x-bar) ◦ x is the variable usually used to represent the x1 x2 x3 ......... xn individual data values ◦ n represents the x number of values in a n sample ◦ N represents the x number of values in a x population n
  • 7. Ex: The number of highway miles per gallon of the 10 worst vehicles is given: 12 15 13 14 15 16 17 16 17 18 12 15 13 14 15 16 17 16 17 18 x 10 153 x 15.3 10
  • 8. Example (2): Given the following frequency distribution of first year students of a particular School. Age (Years) 13 14 15 16 17 Number of Students 2 5 13 7 3
  • 9. Solution: The given distribution belongs to a grouped data and the variable involved is ages of first year students. While the number of students represent frequencies. Ages (Years) Number of f .x X Students (f) 13 2 26 14 5 70 15 13 195 16 7 112 17 3 51 Total f 30 fx 454 fx 454 x 15.13 f 30
  • 10. Example (3): The following data shows distance covered by 100 persons to perform their routine job Distance (Km) : 0-10 10-20 20-30 30-40 No. of Persons : 10 20 40 30
  • 11. Solution……….. Distance(Km) No. of Mid f.x Persons Points (f) x 0-10 10 5 50 10-20 20 15 300 20-30 40 25 1000 30-40 30 35 1050 f 100 fx 2400 fx 2400 x 24 f 100
  • 12. Is the middle value when the raw data values are arranged in order from smallest to largest or vice versa  Is used when one must find the center or midpoint of a data set  Is used when one must determine whether the data values fall into the upper half or lower half of the distribution  Does not have to be an original data value  Various notations: MD, Med
  • 13. Arrange data in order  Arrange data in order from smallest to from smallest to largest largest  Find the data value in  Find the mean of the the “exact” middle TWO middle numbers (there is no “exact” middle) Odd Number of Data Even Number of Data Values (n is odd) Values (n is even)
  • 14. The number of highway miles per gallon of the 10 worst vehicles is given: 12 15 13 14 15 16 17 16 17 18  Find the median.
  • 15. Solution: Arrange data in the ascending order… We get 12 13 14 15 15 16 16 17 17 18 15 16 31 Med 15.5 2 2
  • 16. Example 2: Find the Median of the following distribution X : 1 2 3 4 5 6 f : 7 12 17 19 21 24 Solution………..
  • 17. X f Cumulative Frequency 1 7 7 2 12 19 3 17 36 4 19 55 5 21 76 6 24 100 N=100 N 1 Med = Value of 2 th item 100 1 i.e 50.5 th item , which nearly belongs to c.f. of 55 Med 2 Hence Median = 4
  • 18. Example 3: Find the Median and Median Class of the following distribution X : 15-25 25-35 35-45 45-55 55-65 65-75 f : 4 11 19 14 0 2 Solution………..
  • 19. Class f Cumulative Freq. interval 15-25 4 4 25-35 11 15 35-45 19 34 45-55 14 48 55-65 0 48 65-75 2 50 N=50 N 50 Median Number = Value of 2 th element i.e 25th element, 2 and this value lies in cumulative freq. (34) for the class interval (35-45). So the median class is (35-45)
  • 20. Hence N c Median Med Lm ( 2 ).i f Where Lm = 35 c = 15 f =19 i =10 put these values in above formula
  • 21. 25 15 Med 35 [ ].10 19 100 35 35 5.26 40.26 19
  • 22. Example 4: Find the Median for following data Value : 0-4 5-9 10-19 20-29 30-39 40-49 50-59 60-69 Freq. : 328 350 720 664 598 524 378 244 Solution………..
  • 23. Class Class f Cumulative interval Distribution Freq. 0-9 -0.5-9.5 678 678 10-19 9.5-19.5 720 1398 20-29 19.5-29.5 664 2062 30-39 29.5-39.5 598 2660 40-49 39.5-49.5 524 3184 50-59 49.5-59.5 378 3562 60-69 59.5-69.5 244 3806 N Median Number = Value of 2 th element i.e 3806 1903rd element, 2 and this value lies in cumulative freq. (2062) for the class distribution (19.5-29.5). So the median class is(19.5-29.5)
  • 24. Hence N c Median Med Lm ( 2 ).i f Where Lm = 19.5 C = 1398 f =664 I =10 put these values in above formula
  • 25. 1903 1398 Med 19.5 [ ].10 664 505 5050 19.5 [ ].10 19.5 664 664 19.5 7.60 27.1
  • 26. Example 5: Find missing frequency from the following data, given that the median marks is 23 Marks : 0-10 10-20 20-30 30-40 40-50 No. of Students : 5 8 ? 6 3
  • 27. Solution……….. Let, the missing frequency is β. Marks (x) No. of students (f) Cumulative Frequency 0-10 5 5 10-20 8 13 20-30 β 13+β 30-40 6 19+β 40-50 3 22+β Given median is 23. hence the median class is (20-30). and N= (22+β)
  • 28. Hence N c Median Med Lm ( 2 ).i f Where Lm = 20 c = 13 f =β i =10 put these values in above formula
  • 29. 22 13 Med 20 [ 2 ].10 22 26 23 20 [ ].5 110 5 130 23 20 110 25 130 23
  • 30. 23 110 25 130 2 20 10 So, the missing frequency is 10
  • 31. Is the data value(s) that occurs most often in a data set  Is not always unique. A data set can have more than one mode, or the mode may not exist for a data set  Has no “special” symbol  Look for the number(s) that occur the most often in the data set
  • 32. Example 1) Find mode of following data 2, 7, 10, 15, 10, 17, 8, 10, 2 Solution: Size of element : 2 7 8 10 15 17 No. of times it occur : 2 1 1 3 1 1 Number 10 is observed three times in above data set Hence 10 is the mode of above data set.
  • 33. To find the Mode of grouped data we have following formula fm f1 Mode Lm [ ]i 2 fm f1 f2 Where • Lm is the lower class limit of the modal class • fm is the frequency of the modal class • f1 is the frequency of the class before the modal class in the frequency table • f2 is the frequency of the class after the modal class in the frequency table • i is the class interval of the modal class
  • 34. Example 2: Find the Mode of following data Weight (in Kg.) : 30-35 35-40 40-45 45-50 50-55 55-60 No. of Students : 5 9 14 22 16 4 Solution……….. Prof Vivek Katare Shantiniketan Business School Nagpur
  • 35. Here the class interval (45-50) has the maximum frequency, i.e. 22, therefore, modal class is (45-50). Hence fm f 1 Mode Lm [ ]i 2 fm f 1 f 2 We have, • Lm =45 • fm =22 • f1 =14 • f2 =16 • i =5 put these values in above formula 22 14 Mode 45 [ ]5 2(22) 14 16
  • 36. 8 Mode 45 [ ]5 44 14 16 8 45 [ ]5 14 20 45 7 45 2.85 47.85
  • 37. Example 3: The following are the marks obtained by students in a class test. Find the modal marks. Marks Students 32-35 10 36-39 37 40-43 65 44-47 80 48-51 51 52-55 35 56-59 18 60-63 4
  • 38. Solution: Class(Marks) Class frequency Distribution 32-35 31.5-35.5 10 36-39 35.5-39.5 37 40-43 39.5-43.5 65 44-47 43.5-47.5 80 Modal class 48-51 47.5-51.5 51 52-55 51.5-55.5 35 56-59 55.5-59.5 18 60-63 59.5-63.5 4 It is clear from the data that the mode lies in the class 43.5-47.5
  • 39. Hence fm f 1 Mode Lm [ ]i 2 fm f 1 f 2 We have • Lm =43.5 • fm =80 • f1 =65 • f2 =51 • i =4 put these values in above formula 80 65 Mode 43.5 [ ]4 2(80) 65 51
  • 40. 15 Mode 43.5 [ ]4 160 65 51 15 43.5 [ ]4 44 15 43.5 11 43.5 1.36 44.86
  • 41. Assignment 1) Calculate Mean, Median and Mode of the data given below: X 0.5 1.2 0.9 1 0.6 0.8 1.8 0.9 2.2 1.1 2) Calculate Mean, Median and Mode of the information given below: Class 0-4 5-9 10- 15- 20- 25- 30- 35- 40- Interval 14 19 24 29 34 39 44 Freq. 8 10 11 13 25 13 10 5 5 3) Find Mean, Median of the following data: Age Belo 20 30 40 50 60 70 80 w 10 No. of 5 25 60 105 180 250 275 320 Persons
  • 42. 4) The mean marks of 100 students were found to be 40. Later on, it was discovered that a score of 53 was misread as 83. Find the correct mean corresponding to the correct score. 5) Mean of 200 observations is found to be 50. If at the time of computation, two items are wrongly taken as 40 and 28 instead of 4 and 82. Find the correct mean. 6) Calculate Median and Mode for the distribution of the weights of 150 students from the data given below: Class 30-40 40-50 50-60 60-70 70-80 80-90 Interval Freq. 18 37 45 27 15 8
  • 43. 7) Construct the Frequency table for the following data regarding annual profits, in thousands of rupees in 50 firms by taking class intervals as per your convenience. Find Mean, Median and Mode. 28 35 61 29 36 48 57 67 69 50 48 40 47 42 41 37 51 62 63 33 31 31 34 40 38 37 60 51 54 56 37 46 42 38 61 59 58 44 39 57 38 44 45 45 47 38 44 47 47 64 Prof Vivek Katare Shantiniketan Business School Nagpur