SlideShare a Scribd company logo
1 of 35
Download to read offline
Frequency Distribution
Frequency Distribution
—  A representation,
                   in a tabular format,
 which displays the number of
 observations within a given interval. The
 intervals must be mutually exclusive (each
 score must belong to exactly one class)
 and exhaustive (Including every possible
 element).
Question

— Howdo we construct a
 frequency distribution
 table?
Let’s Try!!!
— Agesof 50 men randomly
 selected from a population
 who died in gunfire are given.
 Construct a frequency
 distribution table having 7
 classes.
19   18   30   40 41 33 73 25
23   25   21    33 65 17 20 76
47   69   20    31 18 24 35 24
17   36   65    70 22 25 65 16
24   29   42    37 26 46 27 63
21   27   23    25 71 37 75 25
27   23
Determine the range.
R = Highest Value – Lowest
                Value
   R = 76 – 16 = 60
—    Find the class width (c).

                    Range               R
 class width =                     ⇔ c=
               number of classes        k

          60
      c =    = 8.57 = 9
          7
Write the classes starting with lowest
                  score.
     Classes       Tally Marks   Freq.

     70   –   78
     61   –   69
     52   –   60
     43   –   51
     34   –   42
     25   –   33
     16   –   24
Classes          Class                Tally Marks       Freq.   x
               boundaries


 70   –   78   69.5   –   78.5   /////                    5     74
 61   –   69   60.5   –   69.5   /////                    5     65
 52   –   60   51.5   –   60.5                            0     56
 43   –   51   42.5   –   51.5   //                       2     47
 34   –   42   33.5   –   42.5   /////-//                7      38
 25   –   33   24.5   –   33.5   /////-/////-////        14     29
 16   –   24   15.5   –   24.5   /////-/////-/////-//    17     20
General Process of
   Constructing a Frequency
            Table
— STEP   1: Determine the
               range.
 Range (R)= Highest Value – Lowest
                      Value
Example in data: 29,55,65,23,45,86,44
             Find Range
—  STEP
      2. Determine the tentative
 number of classes (k)

—  Note:
—  These classes   are usually specified in
    question.
—  The number of classes should be between 5
    and 20. The actual number of classes may
    be affected by convenience or other
    subjective factors.
— STEP 3.  Find the class width by
  dividing the range by the number
  of classes.
                                Range
class width or class mark =
                            number of classes
       R
⇔   c=
       k

             (Always round – off )
— STEP 4. Determine the
 frequency for each class by
 referring to the tally columns
 and present the results in a table.
When constructing frequency
tables, the following guidelines
should be followed.
—  The classes must be mutually
    exclusive. That is, each score
    must belong to exactly one
    class.
—  Include all classes, even if the
    frequency might be zero.
— Allclasses should have the
   same width, although it is
   sometimes impossible to avoid
   open – ended intervals such as
   “65 years or older”.
— The number of classes should
   be between 5 and 20.
Using Table:
— What is the lower class limit of
   the highest class? Upper class
   limit of the lowest class?
— Find the class mark of the class
   43 – 51.
— What is the frequency of the
   class 16 – 24?
SLOPE
SLOPE

Slope is a measure of
 steepness
Types of Slope

                      Zero

           Negative
Positive                     Undefined
                                or
                             No Slope
If given 2 points on
a line, you may find
the slope using the
formula m = y2 – y1
             x2 – x1
Find the slope of the
       line through the
   points (3,7) and (5, 19).
           x1 y1    x2 y2

m = 19 – 7   m = 12     m=6
    5–3          2
Find the slope
(3, 4) and (-6, -2)
If given an equation
  of a line, there are
   2 ways to find the
slope and y-intercept.
One method is to
write the equation in
slope-intercept form,
which is y = mx + b.
       slope
           y-intercept
Find the slope and
  y-intercept of the
following equations.
    y = 3x + ½
      slope= 3
   y-intercept = ½
3x + 5y = 10
First, solve the equation for y.
      3x + 5y = 10
      5y = -3x + 10
      y = -3/5 x + 2
 m= -3/5             b=2
Another method to
  find the slope if given
   an equation of a line
 is to write the equation
in the form Ax + By = C.

m = -A/B,      b = C/B
Find the slope and
  y-intercept of the
following equations.
     A    B     C
     8x + 11y = 7

m= -8/11    b = 7/11
-6x = 2y + 14
First, rewrite the equation in
    the form Ax + By = C.

     -6x - 2y = 14
m= 6/-2           b = 14/-2
m= -3              b = -7
If given the graph
    of a line, find the
  slope by using the
 “triangle” method to
find the rise over run.
rise = 4

           m= rise
               run
run = 5    m= 4/5
Feedback form
      MET’s Institute of Management, Bhujbal Knowledge City, Adgaon, Nashik
                                         
1. Name of the student:
2 . Graduation in:
3. Please tick whether you had learnt statistics in your
    graduation
     level: Yes  No

4. Please grade yourself according to you in which category
you lie in the knowledge of mathematics and statistics

1.Poor 2. Not good          3.Average           4.Good
       5.Excellent
5. Whether Induction on basics of Mathematics
   and Statistics was fruitful
     for you ? Yes / No
     If Yes then please state why?

6.  Do you need any change in the current
    teaching methodology adopted for statistics?

 7. Any suggestions related to the subject
statistics:
The
End
Frequency distribution

More Related Content

What's hot

2.3 Histogram/Frequency Polygon/Ogives
2.3 Histogram/Frequency Polygon/Ogives2.3 Histogram/Frequency Polygon/Ogives
2.3 Histogram/Frequency Polygon/Ogives
mlong24
 
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
 
Measures of variability
Measures of variabilityMeasures of variability
Measures of variability
syedaumme
 
Report frequency distribution table
Report frequency distribution tableReport frequency distribution table
Report frequency distribution table
MaTeresa Berondo
 
Mean, median, and mode
Mean, median, and modeMean, median, and mode
Mean, median, and mode
guest455435
 

What's hot (20)

Mode
ModeMode
Mode
 
2.3 Histogram/Frequency Polygon/Ogives
2.3 Histogram/Frequency Polygon/Ogives2.3 Histogram/Frequency Polygon/Ogives
2.3 Histogram/Frequency Polygon/Ogives
 
Steps in Constructing a Frequency Distribution Table.pptx
Steps in Constructing a Frequency Distribution Table.pptxSteps in Constructing a Frequency Distribution Table.pptx
Steps in Constructing a Frequency Distribution Table.pptx
 
Measures of central tendency
Measures of central tendencyMeasures of central tendency
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
Mean, Median, Mode: Measures of Central Tendency
 
Cumulative Frequency
Cumulative FrequencyCumulative Frequency
Cumulative Frequency
 
Geometric Mean
Geometric MeanGeometric Mean
Geometric Mean
 
Measures of variability
Measures of variabilityMeasures of variability
Measures of variability
 
Classes
ClassesClasses
Classes
 
Report frequency distribution table
Report frequency distribution tableReport frequency distribution table
Report frequency distribution table
 
Frequency distribution
Frequency distributionFrequency distribution
Frequency distribution
 
Measures of Variability
Measures of VariabilityMeasures of Variability
Measures of Variability
 
Frequency distribution
Frequency distributionFrequency distribution
Frequency distribution
 
Kruskal wallis test
Kruskal wallis testKruskal wallis test
Kruskal wallis test
 
Mean, median, and mode
Mean, median, and modeMean, median, and mode
Mean, median, and mode
 
Determining measures of central tendency for grouped data
Determining measures of central tendency for grouped dataDetermining measures of central tendency for grouped data
Determining measures of central tendency for grouped data
 
Statistical graphs
Statistical graphsStatistical graphs
Statistical graphs
 
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...
 
Difference between grouped and ungrouped data
Difference between grouped and ungrouped dataDifference between grouped and ungrouped data
Difference between grouped and ungrouped data
 
Data organization
Data organizationData organization
Data organization
 

Viewers also liked

Frequency distributions
Frequency distributionsFrequency distributions
Frequency distributions
Mark McGinley
 
Presentation of Data and Frequency Distribution
Presentation of Data and Frequency DistributionPresentation of Data and Frequency Distribution
Presentation of Data and Frequency Distribution
Elain Cruz
 
frequency distribution table
frequency distribution tablefrequency distribution table
frequency distribution table
Monie Ali
 
Graphical presentation of data
Graphical presentation of dataGraphical presentation of data
Graphical presentation of data
prince irfan
 
Normal distribution and sampling distribution
Normal distribution and sampling distributionNormal distribution and sampling distribution
Normal distribution and sampling distribution
Mridul Arora
 
Measures of variability
Measures of variabilityMeasures of variability
Measures of variability
Mark Santos
 
Graphical presentation of data
Graphical presentation of dataGraphical presentation of data
Graphical presentation of data
drasifk
 

Viewers also liked (20)

Frequency Distributions and Graphs
Frequency Distributions and GraphsFrequency Distributions and Graphs
Frequency Distributions and Graphs
 
Frequency distributions
Frequency distributionsFrequency distributions
Frequency distributions
 
Presentation of Data and Frequency Distribution
Presentation of Data and Frequency DistributionPresentation of Data and Frequency Distribution
Presentation of Data and Frequency Distribution
 
frequency distribution table
frequency distribution tablefrequency distribution table
frequency distribution table
 
Frequency Distributions
Frequency DistributionsFrequency Distributions
Frequency Distributions
 
Frequency Tables, Frequency Distributions, and Graphic Presentation
Frequency Tables, Frequency Distributions, and Graphic PresentationFrequency Tables, Frequency Distributions, and Graphic Presentation
Frequency Tables, Frequency Distributions, and Graphic Presentation
 
Presentation of data
Presentation of dataPresentation of data
Presentation of data
 
Frequency distribution
Frequency distributionFrequency distribution
Frequency distribution
 
Problems statistics 1
Problems statistics 1Problems statistics 1
Problems statistics 1
 
Graphical presentation of data
Graphical presentation of dataGraphical presentation of data
Graphical presentation of data
 
Normal distribution and sampling distribution
Normal distribution and sampling distributionNormal distribution and sampling distribution
Normal distribution and sampling distribution
 
frequency distribution & graphs
frequency distribution & graphsfrequency distribution & graphs
frequency distribution & graphs
 
Central tendency
Central tendencyCentral tendency
Central tendency
 
Chapter 3: Prsentation of Data
Chapter 3: Prsentation of DataChapter 3: Prsentation of Data
Chapter 3: Prsentation of Data
 
Measures of variability
Measures of variabilityMeasures of variability
Measures of variability
 
Measures of Variation
Measures of VariationMeasures of Variation
Measures of Variation
 
Measures of Variability
Measures of VariabilityMeasures of Variability
Measures of Variability
 
Graphical presentation of data
Graphical presentation of dataGraphical presentation of data
Graphical presentation of data
 
Normal distribution stat
Normal distribution statNormal distribution stat
Normal distribution stat
 
Correlation analysis
Correlation analysisCorrelation analysis
Correlation analysis
 

Similar to Frequency distribution

Elementary statistics
Elementary statisticsElementary statistics
Elementary statistics
Bharat Naruka
 
Lesson 1 8 quiz review
Lesson 1 8 quiz reviewLesson 1 8 quiz review
Lesson 1 8 quiz review
mlabuski
 
1067 mock paper 2012 13
1067 mock paper 2012 131067 mock paper 2012 13
1067 mock paper 2012 13
Rahul Gumber
 

Similar to Frequency distribution (20)

Utilization-of-assessment-data-assessmentinLearning1.pptx
Utilization-of-assessment-data-assessmentinLearning1.pptxUtilization-of-assessment-data-assessmentinLearning1.pptx
Utilization-of-assessment-data-assessmentinLearning1.pptx
 
Assessment of Learning 2 (Overview)
Assessment of Learning 2 (Overview)Assessment of Learning 2 (Overview)
Assessment of Learning 2 (Overview)
 
Ejercicio resuelto-de-estadc3adstica-descriptiva1
Ejercicio resuelto-de-estadc3adstica-descriptiva1Ejercicio resuelto-de-estadc3adstica-descriptiva1
Ejercicio resuelto-de-estadc3adstica-descriptiva1
 
Analysis and interpretation of Assessment.pptx
Analysis and interpretation of Assessment.pptxAnalysis and interpretation of Assessment.pptx
Analysis and interpretation of Assessment.pptx
 
Chapter-6-Variance.pptx
Chapter-6-Variance.pptxChapter-6-Variance.pptx
Chapter-6-Variance.pptx
 
Practice test1 solution
Practice test1 solutionPractice test1 solution
Practice test1 solution
 
Ch 6 10Math.pdf
Ch 6  10Math.pdfCh 6  10Math.pdf
Ch 6 10Math.pdf
 
3_-frequency_distribution.pptx
3_-frequency_distribution.pptx3_-frequency_distribution.pptx
3_-frequency_distribution.pptx
 
Elementary statistics
Elementary statisticsElementary statistics
Elementary statistics
 
Slope
SlopeSlope
Slope
 
Sample question paper math Class XI CBSE
Sample question paper math Class XI CBSESample question paper math Class XI CBSE
Sample question paper math Class XI CBSE
 
STATISTICS
STATISTICSSTATISTICS
STATISTICS
 
Methods of data presention
Methods of data presentionMethods of data presention
Methods of data presention
 
Math1
Math1Math1
Math1
 
The Frequency distribution table.pptx
The Frequency distribution table.pptxThe Frequency distribution table.pptx
The Frequency distribution table.pptx
 
Lesson 1 8 quiz review
Lesson 1 8 quiz reviewLesson 1 8 quiz review
Lesson 1 8 quiz review
 
1067 mock paper 2012 13
1067 mock paper 2012 131067 mock paper 2012 13
1067 mock paper 2012 13
 
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
 
Introduction to Statistics presentation
Introduction to Statistics presentationIntroduction to Statistics presentation
Introduction to Statistics presentation
 
GRADE 9 Proportion PowerPoint Presentation
GRADE 9 Proportion PowerPoint PresentationGRADE 9 Proportion PowerPoint Presentation
GRADE 9 Proportion PowerPoint Presentation
 

More from metnashikiom2011-13

More from metnashikiom2011-13 (20)

Accounts problems assignment
Accounts problems assignment Accounts problems assignment
Accounts problems assignment
 
Ses 11,12,13,14 dispersion
Ses 11,12,13,14 dispersionSes 11,12,13,14 dispersion
Ses 11,12,13,14 dispersion
 
Market structure
Market structureMarket structure
Market structure
 
Cost output relationship
Cost output relationshipCost output relationship
Cost output relationship
 
Chapter 5- capital budgeting
Chapter   5- capital budgetingChapter   5- capital budgeting
Chapter 5- capital budgeting
 
Group and Team
Group and Team Group and Team
Group and Team
 
Capital budgeting
Capital budgetingCapital budgeting
Capital budgeting
 
Stress & conflict management
Stress & conflict management Stress & conflict management
Stress & conflict management
 
Models of OB
Models of OB Models of OB
Models of OB
 
Marketing and marketing mix -BY Saurav
Marketing and marketing mix -BY SauravMarketing and marketing mix -BY Saurav
Marketing and marketing mix -BY Saurav
 
Personality
PersonalityPersonality
Personality
 
Introduction to OBPPM
Introduction to OBPPMIntroduction to OBPPM
Introduction to OBPPM
 
Perception
Perception Perception
Perception
 
Demand analysis
Demand analysisDemand analysis
Demand analysis
 
Ses 4 tabulation
Ses 4 tabulationSes 4 tabulation
Ses 4 tabulation
 
Ses 3 quadratic equations
Ses 3 quadratic equationsSes 3 quadratic equations
Ses 3 quadratic equations
 
Mba april 2010 sem 1,2,3,4
Mba april 2010 sem 1,2,3,4Mba april 2010 sem 1,2,3,4
Mba april 2010 sem 1,2,3,4
 
Mba may 2006 oct sem 1
Mba may 2006 oct sem 1Mba may 2006 oct sem 1
Mba may 2006 oct sem 1
 
Mba may 2007 sem 1,2
Mba may 2007 sem 1,2Mba may 2007 sem 1,2
Mba may 2007 sem 1,2
 
Mba may 2005 sem 1,2,3,4
Mba may 2005 sem 1,2,3,4Mba may 2005 sem 1,2,3,4
Mba may 2005 sem 1,2,3,4
 

Recently uploaded

Recently uploaded (20)

Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
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, ...
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
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
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
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
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 

Frequency distribution

  • 2. Frequency Distribution —  A representation, in a tabular format, which displays the number of observations within a given interval. The intervals must be mutually exclusive (each score must belong to exactly one class) and exhaustive (Including every possible element).
  • 3. Question — Howdo we construct a frequency distribution table?
  • 4. Let’s Try!!! — Agesof 50 men randomly selected from a population who died in gunfire are given. Construct a frequency distribution table having 7 classes.
  • 5. 19 18 30 40 41 33 73 25 23 25 21 33 65 17 20 76 47 69 20 31 18 24 35 24 17 36 65 70 22 25 65 16 24 29 42 37 26 46 27 63 21 27 23 25 71 37 75 25 27 23
  • 6. Determine the range. R = Highest Value – Lowest Value R = 76 – 16 = 60
  • 7. —  Find the class width (c). Range R class width = ⇔ c= number of classes k 60 c = = 8.57 = 9 7
  • 8. Write the classes starting with lowest score. Classes Tally Marks Freq. 70 – 78 61 – 69 52 – 60 43 – 51 34 – 42 25 – 33 16 – 24
  • 9. Classes Class Tally Marks Freq. x boundaries 70 – 78 69.5 – 78.5 ///// 5 74 61 – 69 60.5 – 69.5 ///// 5 65 52 – 60 51.5 – 60.5 0 56 43 – 51 42.5 – 51.5 // 2 47 34 – 42 33.5 – 42.5 /////-// 7 38 25 – 33 24.5 – 33.5 /////-/////-//// 14 29 16 – 24 15.5 – 24.5 /////-/////-/////-// 17 20
  • 10. General Process of Constructing a Frequency Table — STEP 1: Determine the range. Range (R)= Highest Value – Lowest Value Example in data: 29,55,65,23,45,86,44 Find Range
  • 11. —  STEP 2. Determine the tentative number of classes (k) —  Note: —  These classes are usually specified in question. —  The number of classes should be between 5 and 20. The actual number of classes may be affected by convenience or other subjective factors.
  • 12. — STEP 3. Find the class width by dividing the range by the number of classes. Range class width or class mark = number of classes R ⇔ c= k (Always round – off )
  • 13. — STEP 4. Determine the frequency for each class by referring to the tally columns and present the results in a table.
  • 14. When constructing frequency tables, the following guidelines should be followed. —  The classes must be mutually exclusive. That is, each score must belong to exactly one class. —  Include all classes, even if the frequency might be zero.
  • 15. — Allclasses should have the same width, although it is sometimes impossible to avoid open – ended intervals such as “65 years or older”. — The number of classes should be between 5 and 20.
  • 16. Using Table: — What is the lower class limit of the highest class? Upper class limit of the lowest class? — Find the class mark of the class 43 – 51. — What is the frequency of the class 16 – 24?
  • 17. SLOPE
  • 18. SLOPE Slope is a measure of steepness
  • 19. Types of Slope Zero Negative Positive Undefined or No Slope
  • 20. If given 2 points on a line, you may find the slope using the formula m = y2 – y1 x2 – x1
  • 21. Find the slope of the line through the points (3,7) and (5, 19). x1 y1 x2 y2 m = 19 – 7 m = 12 m=6 5–3 2
  • 22. Find the slope (3, 4) and (-6, -2)
  • 23. If given an equation of a line, there are 2 ways to find the slope and y-intercept.
  • 24. One method is to write the equation in slope-intercept form, which is y = mx + b. slope y-intercept
  • 25. Find the slope and y-intercept of the following equations. y = 3x + ½ slope= 3 y-intercept = ½
  • 26. 3x + 5y = 10 First, solve the equation for y. 3x + 5y = 10 5y = -3x + 10 y = -3/5 x + 2 m= -3/5 b=2
  • 27. Another method to find the slope if given an equation of a line is to write the equation in the form Ax + By = C. m = -A/B, b = C/B
  • 28. Find the slope and y-intercept of the following equations. A B C 8x + 11y = 7 m= -8/11 b = 7/11
  • 29. -6x = 2y + 14 First, rewrite the equation in the form Ax + By = C. -6x - 2y = 14 m= 6/-2 b = 14/-2 m= -3 b = -7
  • 30. If given the graph of a line, find the slope by using the “triangle” method to find the rise over run.
  • 31. rise = 4 m= rise run run = 5 m= 4/5
  • 32. Feedback form MET’s Institute of Management, Bhujbal Knowledge City, Adgaon, Nashik   1. Name of the student: 2 . Graduation in: 3. Please tick whether you had learnt statistics in your graduation level: Yes No 4. Please grade yourself according to you in which category you lie in the knowledge of mathematics and statistics 1.Poor 2. Not good 3.Average 4.Good 5.Excellent
  • 33. 5. Whether Induction on basics of Mathematics and Statistics was fruitful for you ? Yes / No If Yes then please state why? 6.  Do you need any change in the current teaching methodology adopted for statistics? 7. Any suggestions related to the subject statistics: