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Ameya Mahabal
Rushabh Borkar
Shrisagar Mamidala
Pareto chart
Pareto chart
 It shows the relative importance of set of
measures
 Helps to select the most important areas on
which to focus
 It helps us to differentiate between vital few and
trivial many
 It is also called as 80-20 rule, which states that
20% of potential problem areas are caused by
80% of all the problems
Bunking of lectures
 Following are some reasons to bunk the lectures
1. Quality and clarity of lectures
2. Deadline for other activities
3. Lecturers ability to engage/entertain
4. Availability of lecture material from printed
sources
5. Hour at which class is scheduled
6. Need to attend Extracurricular or personal
activities
7. Lack of sleep
8. Locations around college and peer reasons
(theatres, picnic spots, restaurants etc.)
Data
 Survey was conducted on 150 students to rate
the reasons mentioned in slide
 Location of college : Churchgate
 Places around : Marine Drive, theatres, Gateway
of India, Colaba, Restaurants and clubs
 Schedule : 12 Hrs a day, 6 days a week
 All other parameters are subjective to students
Reasons for bunking lecture
Data
 Following is the data table:
Reasons Count Percentage
Quality and clarity of lectures 72 48
Deadline for other activities 9 6
Lecturers ability to engage/entertain 5 3.33
Availability of lecture material from printed sources 4 2.67
Hour at which class is scheduled/timetable 12 8
Need to attend Extracurricular or personal activities 4 2.67
Lack of sleep 8 5.33
Locations around college and peer reasons 36 24
Sorting of data
Reasons Percentage
Quality and clarity of lectures 48
Locations around college and peer reasons 24
Hour at which class is scheduled/timetable 8
Deadline for other activities 6
Lack of sleep 5.33
Lecturers ability to engage/entertain 3.33
Need to attend Extracurricular or personal activities 2.67
Availability of lecture material from printed sources 2.67
• We need to sort data in descending order
Analyzing of data
Problems Percentag
e
Cumulativ
e
frequency
Quality and clarity of lectures 48 48
Locations around college and peer reasons 24 72
Hour at which class is scheduled/timetable 8 80
Deadline for other activities 6 86
Lack of sleep 5.33 91.33
Lecturers ability to engage/entertain 3.33 94.66
Need to attend Extracurricular or personal activities 2.67 97.33
Availability of lecture material from printed sources 2.67 100
Plot the bar graph accordingly.
We also need cumulative frequency to plot the line graph
Pareto chart
0
10
20
30
40
50
60
70
80
90
100
0
10
20
30
40
50
60
70
80
90
100
count
Reasons for bunking lecture
Conclusion
 As you can see 72% of the problems are caused
by the 2 factors which make 25% of the reasons
 Here 80/20 principle is being followed but due to
small amount of data set has little variation
 If the quality of lectures are improved the problem
can be tackled to a large extent as perception
must be created among student that their time is
more useful in lecture than to visit outdoor places
which they can visit later

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edQcl 14-v3 pareto chart-simsree_ameya mahabal

  • 2. Pareto chart  It shows the relative importance of set of measures  Helps to select the most important areas on which to focus  It helps us to differentiate between vital few and trivial many  It is also called as 80-20 rule, which states that 20% of potential problem areas are caused by 80% of all the problems
  • 3. Bunking of lectures  Following are some reasons to bunk the lectures 1. Quality and clarity of lectures 2. Deadline for other activities 3. Lecturers ability to engage/entertain 4. Availability of lecture material from printed sources 5. Hour at which class is scheduled 6. Need to attend Extracurricular or personal activities 7. Lack of sleep 8. Locations around college and peer reasons (theatres, picnic spots, restaurants etc.)
  • 4. Data  Survey was conducted on 150 students to rate the reasons mentioned in slide  Location of college : Churchgate  Places around : Marine Drive, theatres, Gateway of India, Colaba, Restaurants and clubs  Schedule : 12 Hrs a day, 6 days a week  All other parameters are subjective to students
  • 6. Data  Following is the data table: Reasons Count Percentage Quality and clarity of lectures 72 48 Deadline for other activities 9 6 Lecturers ability to engage/entertain 5 3.33 Availability of lecture material from printed sources 4 2.67 Hour at which class is scheduled/timetable 12 8 Need to attend Extracurricular or personal activities 4 2.67 Lack of sleep 8 5.33 Locations around college and peer reasons 36 24
  • 7. Sorting of data Reasons Percentage Quality and clarity of lectures 48 Locations around college and peer reasons 24 Hour at which class is scheduled/timetable 8 Deadline for other activities 6 Lack of sleep 5.33 Lecturers ability to engage/entertain 3.33 Need to attend Extracurricular or personal activities 2.67 Availability of lecture material from printed sources 2.67 • We need to sort data in descending order
  • 8. Analyzing of data Problems Percentag e Cumulativ e frequency Quality and clarity of lectures 48 48 Locations around college and peer reasons 24 72 Hour at which class is scheduled/timetable 8 80 Deadline for other activities 6 86 Lack of sleep 5.33 91.33 Lecturers ability to engage/entertain 3.33 94.66 Need to attend Extracurricular or personal activities 2.67 97.33 Availability of lecture material from printed sources 2.67 100 Plot the bar graph accordingly. We also need cumulative frequency to plot the line graph
  • 10. Conclusion  As you can see 72% of the problems are caused by the 2 factors which make 25% of the reasons  Here 80/20 principle is being followed but due to small amount of data set has little variation  If the quality of lectures are improved the problem can be tackled to a large extent as perception must be created among student that their time is more useful in lecture than to visit outdoor places which they can visit later