SlideShare a Scribd company logo
1 of 21
Mode (Z)
› Dr. Mamatha S Upadhya
In everyday life we often apply the concept of majority. For example, the
one who got majority of votes in your class become the class leader.
Sometimes majority represents the data. Mode is the measure which
expressing the concept of majority.
Mode (Z)
› The Mode (Z) or M0
› The Mode of a set of numbers is the value that occurs with the
greatest frequency.
› It is possible that there is no Mode in a series of numbers or to
have more than one value.
› The Mode is used when a quick and approximate measure of the
central tendency is desired.
› Unimodal Data
› A series of numbers is known to be unimodal if it has only
one Mode.
› Example: 3,3,4,5,5,5,7 has a mode of 5
› Bimodal Data
› A series of numbers is known to be bimodal if it has
two Modes.
› Example: 105,105, 105, 107, 108, 109, 109, 109,110,
112 has two Modes 105 and 109
› Multimodal Data
› A series of numbers is known to be multimodal if it has more
than two Modes.
› Example: 105, 105, 105, 107, 108, 109, 109, 109, 110, 112, 115,
115, 115 has three Modes 105, 109, 115.
› Define Mode.
› ‘The value of the variable which occurs most frequently in the distribution is called the
mode.’
›Definition: The mode is that value (or size) of the variate for which the frequency is
maximum or the point of maximum frequency or the point of maximum density.
Calculation of mode in the case of Individual Observations.
For Individual Observations , the value of mode is the item with the highest frequency.
Example Find the mode from the following data.
› 10,20,10,30,20,10,40,40,20,20,30,10,40,10,50.
Value Frequency
10 5
20 4
30 2
40 3
50 1
Since the value 10 has the highest frequency the modal value is 10.
Example: The ages of six persons who participated in an interview were
20,21,21,24,25,24,21 and 27 years. Find the mode of the data.
Here the observation 21 appears three times, 24 appears two and all others are
appear in a single time. So the value which appears a maximum number of
times is 21.
∴ Mode = 21 years.
Example: Mr. Vijayakumar, the physical education teacher of a school is
trying to determine the average height of students in the cricket team of the
school. The height of the players in inches are 70,72,72,74,74,74,75,76,76,76
and 77.Calculate the mode of the heights.
Here the data has two values, 74 and 76, which appears 3 times.
All the other values appear less than 3 times. So the data set has two distinct
modes 74 and 76.
Mode from a discrete frequency distribution
› The mode of a discrete frequency is the observation which appears a
maximum number of times. ie, the observation having the highest frequency.
Example: The following distribution shows the sizes of shirts sold on a textile
shop in Bangalore on a month. Calculate the mode.
Size (in inches) : 36 38 40 42 44
No of shirts sold :15 22 31 30 20
Solution. In the given frequency distribution, the observation having the
maximum frequency is 40. Mode is 40.
Mode from a continuous frequency distribution.
› As in the case of median, here also we have to locate a class called modal
class to find mode in continuous frequency series. Modal class is the class
having highest frequency. Mode can be determined by the formula:
𝑀0= L+
𝑓1−𝑓0
2𝑓1−𝑓0−𝑓2
x i
› L= lower limit of the modal class
› f1=frequency of the modal class
› f0= frequency of the class preceding the modal class.
› f2= frequency of the class Succeeding the modal class
› Example 2.Compute the mode of the following distribution:
Class : 0-7 7-14 14-21 21-28 28-35 35-42 42-49
Frequency: 19 25 36 72 51 43 28
Solution: Here maximum frequency 72 lies in the class-interval 21-28. Therefore 21-28 is the modal
class.
l= 21, 1
f = 72, 0
f = 36, 2
f = 51, i = 7
i
f
f
f
f
f
l
Mode 





2
0
1
0
1
2
103
.
25
7
51
36
)
72
(
2
36
72
21 






Mode
i
f
f
f
f
f
l
Mode 





2
0
1
0
1
2
Example: The production per day of a company (in Tons) on 60 days are given
below. Calculate the mode.
Production per day : 21-22 23-24 25-26 27-28 29-30
Number of days : 7 13 22 10 8
Solution. Here the classes are of inclusive type. We have to convert into
exclusive class before determining the mode.
X f
20.5-22.5 7
22.5-24.5 13
24.5-26.5 22
26.5-28.5 10
28.5-30.5 8
The maximum frequency is 22 so the modal
class is 24.5-26.5
Mode= L+
𝑓1−𝑓0
2𝑓1−𝑓0 − 𝑓2
x i
Mode= 24.5+
22 −13
2𝑥22 −13−10
x 2
Mode= 25.36 tons.
Example: Calculate the missing frequency from the following data, if mode is given as 26.
Marks 0-10 10-20 20-30 30-40 40-50
No.of Students 3 5 8 ? 3
Let the missing frequency be A
It is given that mode=26
So the modal Class is 20-30.
Mo=L+
𝑓1−𝑓0
2𝑓1−𝑓0−𝑓2
x i
26=20+
8−5
2(8)−5−𝐴
x 10
A=3.5
Merits and Demerits of Mode:
› Merits:
(i) Mode is readily comprehensible and easy to calculate.
(ii)Mode is not at all affected by extreme values.
› Demerits:
(i) Mode is ill-defined. It is not always possible to find a clearly defined mode.
(ii)It is not based upon all the observations.
Empirical relationship among Mean, Median and Mode
› Mode= 3median-2mean
The importance of this relation is that we can estimate the value of any one of them by
knowing the values of the other two. However, this relationship is true if the distribution is
moderately asymmetric.
In the asymmetrical curve the area on the left of mode is greater than area on the right then
› Mean < median < mode
Example If Z=400, and 𝑥=300 find median
400= 3M-2x300
M.=333.3
Example: For a given data the mean=39.23 and median =36.67 . Hence find mode.
Mode= 3 (36.67)-2(39.23)= 31.55
Graphical location of Mode
› Mode from Histogram
The steps involved in obtaining mode from histogram are:
Step 1: Draw a histogram to the given data.
Step 2: Locate modal class (highest bar of histogram).
Step 3: Join diagonally the upper end points of the highest bar to the end points of the adjacent
bars.
Step 4: Mark the point of intersection of the diagonals.
Step 5: Draw perpendicular from this point of intersection to the x-axis.
Step 6: The point where the perpendicular meets the x-axis gives the modal value.
Example: Locate mode graphically:
Age : 0-10 10-20 20-30 30-40 40-50 50-60
Number of People : 12 18 27 20 17 6
Mode = 25.6
Example 1: Locate Mode graphically for the following distribution.
Class
Interval
10-19 20-29 30-39 40-49 50-59 60-69 70-79
Frequency 10 12 18 30 16 6 8
Inclusive
Series
Exclusive
Series
Frequency
10-19 9.5-19.5 10
20-29 19.5-29.5 12
30-39 29.5-39.5 18
40-49 39.5-49.5 30
50-59 49.5-59.5 16
60-69 59.5-69.5 6
70-79 69.5-79.5 8
Example 2: The weights in grams of 50 apples picked at random from a market are as follows:
131,113,82,75,204,81,84,118,104,110,80,107,111,141,136,123,90,78,90,115, 110,98, 106, 99,
107,84,76,186,82,100,109,128,115,107,115,119,93,187,139,129,130,68,195,123,125,111,92,8
6,70,126.
Form the grouped frequency table by dividing the variate range into intervals of equal width,
each corresponding to 20 gms in such a way that the mid-value of the first class corresponding
to 70 gms. Hence locate mode graphically.
Solution: Mid-value of first class =70, Width of each class =20 (given)
Weight in
grams
Frequency
60-80 5
80-100 13
100-120 17
120-140 10
140-160 1
160-180 0
180-200 3
200-220 1
Total 50
Mode is 107.27 gms
A psychologist estimates the I.Q. of 60 children. The values are as follows:
103, 98, 87, 85, 67, 96, 115, 109, 127, 103, 95, 123,94, 88,102, 76, 73, 80,
84, 102, 115, 93, 76, 81, 132, 90, 119, 84, 97, 120, 114, 101, 153, 98, 99,
105, 110, 107, 110, 128, 89, 112, 118, 101, 122, 146, 96, 109, 72, 97, 94,
94, 79, 79, 100, 54, 102, 89, 43, 111.
Form a frequency distribution having class intervals with width 15. Hence
locate mode graphically.
From the following data prepare frequency distribution table and
hence determine the mean , median and mode.
0, 1,2,3,4,5,6,6,5,4,4,5,5,4,4,3,3,3,3,2,2,2,3,2,3,2,2,2,1,1,1,0,0,1,0.

More Related Content

What's hot (20)

To find mode ppt
To find mode  pptTo find mode  ppt
To find mode ppt
 
Mode ppt
Mode  pptMode  ppt
Mode ppt
 
Median & mode
Median & modeMedian & mode
Median & mode
 
mean median mode
 mean median mode mean median mode
mean median mode
 
Parameter estimation
Parameter estimationParameter estimation
Parameter estimation
 
Median
MedianMedian
Median
 
Random Variable
Random VariableRandom Variable
Random Variable
 
Regression analysis
Regression analysisRegression analysis
Regression analysis
 
Correlation analysis
Correlation analysisCorrelation analysis
Correlation analysis
 
Arithmetic mean
Arithmetic meanArithmetic mean
Arithmetic mean
 
Mean Deviation
Mean DeviationMean Deviation
Mean Deviation
 
Statistics-Measures of dispersions
Statistics-Measures of dispersionsStatistics-Measures of dispersions
Statistics-Measures of dispersions
 
Binomial probability distributions ppt
Binomial probability distributions pptBinomial probability distributions ppt
Binomial probability distributions ppt
 
Measure of Dispersion
Measure of DispersionMeasure of Dispersion
Measure of Dispersion
 
Probability
ProbabilityProbability
Probability
 
Percentile
PercentilePercentile
Percentile
 
Binomial distribution
Binomial distributionBinomial distribution
Binomial distribution
 
Correlation Analysis
Correlation AnalysisCorrelation Analysis
Correlation Analysis
 
frequency distribution & graphs
frequency distribution & graphsfrequency distribution & graphs
frequency distribution & graphs
 
Measures of dispersions
Measures of dispersionsMeasures of dispersions
Measures of dispersions
 

Similar to Mode

Mode in statistics
Mode in statisticsMode in statistics
Mode in statisticsNadeem Uddin
 
Mean Mode Median.docx
Mean Mode Median.docxMean Mode Median.docx
Mean Mode Median.docxSameeraasif2
 
Empirical relationship between averages
Empirical relationship between averagesEmpirical relationship between averages
Empirical relationship between averagesmuthukrishnaveni anand
 
measuresofcentraltendencymeanmedianmode-140706130428-phpapp01.ppt
measuresofcentraltendencymeanmedianmode-140706130428-phpapp01.pptmeasuresofcentraltendencymeanmedianmode-140706130428-phpapp01.ppt
measuresofcentraltendencymeanmedianmode-140706130428-phpapp01.pptSoujanyaLk1
 
Group 3 measures of central tendency and variation - (mean, median, mode, ra...
Group 3  measures of central tendency and variation - (mean, median, mode, ra...Group 3  measures of central tendency and variation - (mean, median, mode, ra...
Group 3 measures of central tendency and variation - (mean, median, mode, ra...reymartyvette_0611
 
CLASS 10 MEAN MEDIAN MODE
CLASS 10 MEAN MEDIAN MODECLASS 10 MEAN MEDIAN MODE
CLASS 10 MEAN MEDIAN MODEAKBAR1961
 
Topic 8a Basic Statistics
Topic 8a Basic StatisticsTopic 8a Basic Statistics
Topic 8a Basic StatisticsYee Bee Choo
 
Mean, median & mode 2
Mean, median & mode 2Mean, median & mode 2
Mean, median & mode 2AkkiMaruthi2
 
Jwan kareem.biostatic exercise
Jwan kareem.biostatic exerciseJwan kareem.biostatic exercise
Jwan kareem.biostatic exerciseJwanSalh
 
EASY WAY TO CALCULATE MODE (STATISTICS)
EASY WAY TO CALCULATE MODE (STATISTICS)EASY WAY TO CALCULATE MODE (STATISTICS)
EASY WAY TO CALCULATE MODE (STATISTICS)sumanmathews
 
Measures of Central Tendency - Biostatstics
Measures of Central Tendency - BiostatsticsMeasures of Central Tendency - Biostatstics
Measures of Central Tendency - BiostatsticsHarshit Jadav
 
STANDARD DEVIATION (2018) (STATISTICS)
STANDARD DEVIATION (2018) (STATISTICS)STANDARD DEVIATION (2018) (STATISTICS)
STANDARD DEVIATION (2018) (STATISTICS)sumanmathews
 

Similar to Mode (20)

Mode in statistics
Mode in statisticsMode in statistics
Mode in statistics
 
Mean Mode Median.docx
Mean Mode Median.docxMean Mode Median.docx
Mean Mode Median.docx
 
Empirical relationship between averages
Empirical relationship between averagesEmpirical relationship between averages
Empirical relationship between averages
 
STATISTICS AND PROBABILITY.pptx
STATISTICS AND PROBABILITY.pptxSTATISTICS AND PROBABILITY.pptx
STATISTICS AND PROBABILITY.pptx
 
Measures-of-Central-Tendency.ppt
Measures-of-Central-Tendency.pptMeasures-of-Central-Tendency.ppt
Measures-of-Central-Tendency.ppt
 
measuresofcentraltendencymeanmedianmode-140706130428-phpapp01.ppt
measuresofcentraltendencymeanmedianmode-140706130428-phpapp01.pptmeasuresofcentraltendencymeanmedianmode-140706130428-phpapp01.ppt
measuresofcentraltendencymeanmedianmode-140706130428-phpapp01.ppt
 
Group 3 measures of central tendency and variation - (mean, median, mode, ra...
Group 3  measures of central tendency and variation - (mean, median, mode, ra...Group 3  measures of central tendency and variation - (mean, median, mode, ra...
Group 3 measures of central tendency and variation - (mean, median, mode, ra...
 
CLASS 10 MEAN MEDIAN MODE
CLASS 10 MEAN MEDIAN MODECLASS 10 MEAN MEDIAN MODE
CLASS 10 MEAN MEDIAN MODE
 
Topic 8a Basic Statistics
Topic 8a Basic StatisticsTopic 8a Basic Statistics
Topic 8a Basic Statistics
 
To find mode docs
To find mode   docsTo find mode   docs
To find mode docs
 
SMDM Presentation.pptx
SMDM Presentation.pptxSMDM Presentation.pptx
SMDM Presentation.pptx
 
Mean, median & mode 2
Mean, median & mode 2Mean, median & mode 2
Mean, median & mode 2
 
Jwan kareem.biostatic exercise
Jwan kareem.biostatic exerciseJwan kareem.biostatic exercise
Jwan kareem.biostatic exercise
 
EASY WAY TO CALCULATE MODE (STATISTICS)
EASY WAY TO CALCULATE MODE (STATISTICS)EASY WAY TO CALCULATE MODE (STATISTICS)
EASY WAY TO CALCULATE MODE (STATISTICS)
 
Practice test1 solution
Practice test1 solutionPractice test1 solution
Practice test1 solution
 
Descriptive statistics
Descriptive statisticsDescriptive statistics
Descriptive statistics
 
Measures of Central Tendency - Biostatstics
Measures of Central Tendency - BiostatsticsMeasures of Central Tendency - Biostatstics
Measures of Central Tendency - Biostatstics
 
Median and Mode used in Teaching
Median and Mode used in TeachingMedian and Mode used in Teaching
Median and Mode used in Teaching
 
statistics 10th (1) (3).pdf
statistics 10th (1) (3).pdfstatistics 10th (1) (3).pdf
statistics 10th (1) (3).pdf
 
STANDARD DEVIATION (2018) (STATISTICS)
STANDARD DEVIATION (2018) (STATISTICS)STANDARD DEVIATION (2018) (STATISTICS)
STANDARD DEVIATION (2018) (STATISTICS)
 

Recently uploaded

Unit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxUnit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxVishalSingh1417
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfagholdier
 
General Principles of Intellectual Property: Concepts of Intellectual Proper...
General Principles of Intellectual Property: Concepts of Intellectual  Proper...General Principles of Intellectual Property: Concepts of Intellectual  Proper...
General Principles of Intellectual Property: Concepts of Intellectual Proper...Poonam Aher Patil
 
psychiatric nursing HISTORY COLLECTION .docx
psychiatric  nursing HISTORY  COLLECTION  .docxpsychiatric  nursing HISTORY  COLLECTION  .docx
psychiatric nursing HISTORY COLLECTION .docxPoojaSen20
 
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptxMaritesTamaniVerdade
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactPECB
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...christianmathematics
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introductionMaksud Ahmed
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfciinovamais
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxAreebaZafar22
 
Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxUnit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxVishalSingh1417
 
PROCESS RECORDING FORMAT.docx
PROCESS      RECORDING        FORMAT.docxPROCESS      RECORDING        FORMAT.docx
PROCESS RECORDING FORMAT.docxPoojaSen20
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Celine George
 
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsIntroduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsTechSoup
 
ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.MaryamAhmad92
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfAdmir Softic
 
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17  How to Extend Models Using Mixin ClassesMixin Classes in Odoo 17  How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17 How to Extend Models Using Mixin ClassesCeline George
 
How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17Celine George
 

Recently uploaded (20)

Unit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxUnit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptx
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdf
 
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptxINDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
 
General Principles of Intellectual Property: Concepts of Intellectual Proper...
General Principles of Intellectual Property: Concepts of Intellectual  Proper...General Principles of Intellectual Property: Concepts of Intellectual  Proper...
General Principles of Intellectual Property: Concepts of Intellectual Proper...
 
psychiatric nursing HISTORY COLLECTION .docx
psychiatric  nursing HISTORY  COLLECTION  .docxpsychiatric  nursing HISTORY  COLLECTION  .docx
psychiatric nursing HISTORY COLLECTION .docx
 
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
 
Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxUnit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptx
 
PROCESS RECORDING FORMAT.docx
PROCESS      RECORDING        FORMAT.docxPROCESS      RECORDING        FORMAT.docx
PROCESS RECORDING FORMAT.docx
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17
 
Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024
 
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsIntroduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The Basics
 
ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdf
 
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17  How to Extend Models Using Mixin ClassesMixin Classes in Odoo 17  How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
 
How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17
 

Mode

  • 1. Mode (Z) › Dr. Mamatha S Upadhya
  • 2. In everyday life we often apply the concept of majority. For example, the one who got majority of votes in your class become the class leader. Sometimes majority represents the data. Mode is the measure which expressing the concept of majority.
  • 3. Mode (Z) › The Mode (Z) or M0 › The Mode of a set of numbers is the value that occurs with the greatest frequency. › It is possible that there is no Mode in a series of numbers or to have more than one value. › The Mode is used when a quick and approximate measure of the central tendency is desired.
  • 4. › Unimodal Data › A series of numbers is known to be unimodal if it has only one Mode. › Example: 3,3,4,5,5,5,7 has a mode of 5
  • 5. › Bimodal Data › A series of numbers is known to be bimodal if it has two Modes. › Example: 105,105, 105, 107, 108, 109, 109, 109,110, 112 has two Modes 105 and 109
  • 6. › Multimodal Data › A series of numbers is known to be multimodal if it has more than two Modes. › Example: 105, 105, 105, 107, 108, 109, 109, 109, 110, 112, 115, 115, 115 has three Modes 105, 109, 115.
  • 7. › Define Mode. › ‘The value of the variable which occurs most frequently in the distribution is called the mode.’ ›Definition: The mode is that value (or size) of the variate for which the frequency is maximum or the point of maximum frequency or the point of maximum density. Calculation of mode in the case of Individual Observations. For Individual Observations , the value of mode is the item with the highest frequency. Example Find the mode from the following data. › 10,20,10,30,20,10,40,40,20,20,30,10,40,10,50. Value Frequency 10 5 20 4 30 2 40 3 50 1 Since the value 10 has the highest frequency the modal value is 10.
  • 8. Example: The ages of six persons who participated in an interview were 20,21,21,24,25,24,21 and 27 years. Find the mode of the data. Here the observation 21 appears three times, 24 appears two and all others are appear in a single time. So the value which appears a maximum number of times is 21. ∴ Mode = 21 years. Example: Mr. Vijayakumar, the physical education teacher of a school is trying to determine the average height of students in the cricket team of the school. The height of the players in inches are 70,72,72,74,74,74,75,76,76,76 and 77.Calculate the mode of the heights. Here the data has two values, 74 and 76, which appears 3 times. All the other values appear less than 3 times. So the data set has two distinct modes 74 and 76.
  • 9. Mode from a discrete frequency distribution › The mode of a discrete frequency is the observation which appears a maximum number of times. ie, the observation having the highest frequency. Example: The following distribution shows the sizes of shirts sold on a textile shop in Bangalore on a month. Calculate the mode. Size (in inches) : 36 38 40 42 44 No of shirts sold :15 22 31 30 20 Solution. In the given frequency distribution, the observation having the maximum frequency is 40. Mode is 40.
  • 10. Mode from a continuous frequency distribution. › As in the case of median, here also we have to locate a class called modal class to find mode in continuous frequency series. Modal class is the class having highest frequency. Mode can be determined by the formula: 𝑀0= L+ 𝑓1−𝑓0 2𝑓1−𝑓0−𝑓2 x i › L= lower limit of the modal class › f1=frequency of the modal class › f0= frequency of the class preceding the modal class. › f2= frequency of the class Succeeding the modal class
  • 11. › Example 2.Compute the mode of the following distribution: Class : 0-7 7-14 14-21 21-28 28-35 35-42 42-49 Frequency: 19 25 36 72 51 43 28 Solution: Here maximum frequency 72 lies in the class-interval 21-28. Therefore 21-28 is the modal class. l= 21, 1 f = 72, 0 f = 36, 2 f = 51, i = 7 i f f f f f l Mode       2 0 1 0 1 2 103 . 25 7 51 36 ) 72 ( 2 36 72 21        Mode i f f f f f l Mode       2 0 1 0 1 2
  • 12. Example: The production per day of a company (in Tons) on 60 days are given below. Calculate the mode. Production per day : 21-22 23-24 25-26 27-28 29-30 Number of days : 7 13 22 10 8 Solution. Here the classes are of inclusive type. We have to convert into exclusive class before determining the mode. X f 20.5-22.5 7 22.5-24.5 13 24.5-26.5 22 26.5-28.5 10 28.5-30.5 8 The maximum frequency is 22 so the modal class is 24.5-26.5 Mode= L+ 𝑓1−𝑓0 2𝑓1−𝑓0 − 𝑓2 x i Mode= 24.5+ 22 −13 2𝑥22 −13−10 x 2 Mode= 25.36 tons.
  • 13. Example: Calculate the missing frequency from the following data, if mode is given as 26. Marks 0-10 10-20 20-30 30-40 40-50 No.of Students 3 5 8 ? 3 Let the missing frequency be A It is given that mode=26 So the modal Class is 20-30. Mo=L+ 𝑓1−𝑓0 2𝑓1−𝑓0−𝑓2 x i 26=20+ 8−5 2(8)−5−𝐴 x 10 A=3.5
  • 14. Merits and Demerits of Mode: › Merits: (i) Mode is readily comprehensible and easy to calculate. (ii)Mode is not at all affected by extreme values. › Demerits: (i) Mode is ill-defined. It is not always possible to find a clearly defined mode. (ii)It is not based upon all the observations.
  • 15. Empirical relationship among Mean, Median and Mode › Mode= 3median-2mean The importance of this relation is that we can estimate the value of any one of them by knowing the values of the other two. However, this relationship is true if the distribution is moderately asymmetric. In the asymmetrical curve the area on the left of mode is greater than area on the right then › Mean < median < mode Example If Z=400, and 𝑥=300 find median 400= 3M-2x300 M.=333.3 Example: For a given data the mean=39.23 and median =36.67 . Hence find mode. Mode= 3 (36.67)-2(39.23)= 31.55
  • 16. Graphical location of Mode › Mode from Histogram The steps involved in obtaining mode from histogram are: Step 1: Draw a histogram to the given data. Step 2: Locate modal class (highest bar of histogram). Step 3: Join diagonally the upper end points of the highest bar to the end points of the adjacent bars. Step 4: Mark the point of intersection of the diagonals. Step 5: Draw perpendicular from this point of intersection to the x-axis. Step 6: The point where the perpendicular meets the x-axis gives the modal value.
  • 17. Example: Locate mode graphically: Age : 0-10 10-20 20-30 30-40 40-50 50-60 Number of People : 12 18 27 20 17 6 Mode = 25.6
  • 18. Example 1: Locate Mode graphically for the following distribution. Class Interval 10-19 20-29 30-39 40-49 50-59 60-69 70-79 Frequency 10 12 18 30 16 6 8 Inclusive Series Exclusive Series Frequency 10-19 9.5-19.5 10 20-29 19.5-29.5 12 30-39 29.5-39.5 18 40-49 39.5-49.5 30 50-59 49.5-59.5 16 60-69 59.5-69.5 6 70-79 69.5-79.5 8
  • 19. Example 2: The weights in grams of 50 apples picked at random from a market are as follows: 131,113,82,75,204,81,84,118,104,110,80,107,111,141,136,123,90,78,90,115, 110,98, 106, 99, 107,84,76,186,82,100,109,128,115,107,115,119,93,187,139,129,130,68,195,123,125,111,92,8 6,70,126. Form the grouped frequency table by dividing the variate range into intervals of equal width, each corresponding to 20 gms in such a way that the mid-value of the first class corresponding to 70 gms. Hence locate mode graphically. Solution: Mid-value of first class =70, Width of each class =20 (given) Weight in grams Frequency 60-80 5 80-100 13 100-120 17 120-140 10 140-160 1 160-180 0 180-200 3 200-220 1 Total 50 Mode is 107.27 gms
  • 20. A psychologist estimates the I.Q. of 60 children. The values are as follows: 103, 98, 87, 85, 67, 96, 115, 109, 127, 103, 95, 123,94, 88,102, 76, 73, 80, 84, 102, 115, 93, 76, 81, 132, 90, 119, 84, 97, 120, 114, 101, 153, 98, 99, 105, 110, 107, 110, 128, 89, 112, 118, 101, 122, 146, 96, 109, 72, 97, 94, 94, 79, 79, 100, 54, 102, 89, 43, 111. Form a frequency distribution having class intervals with width 15. Hence locate mode graphically.
  • 21. From the following data prepare frequency distribution table and hence determine the mean , median and mode. 0, 1,2,3,4,5,6,6,5,4,4,5,5,4,4,3,3,3,3,2,2,2,3,2,3,2,2,2,1,1,1,0,0,1,0.