Analysis Report of students who are doing PT 2009 subject Essay
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Analysis Report of pupils who are making PT 2009 topic 
Table Of Content
Subject 
Page Number 
Recognition 
2 
Abbreviations 
3 
Abstraction 
3 
Introduction 
3 – 7 
Analysis and reading 
8 â€“ 11 
Problems and recommendations 
12 
Decisions 
12 
Abbreviation
PS â€“ Physical Science
IS â€“ Industrial Statistics and Mathematical Finance
Abstraction
This study is about pupils who are making PT 2009. There are two classs who are making this topic. They are Physical scientific discipline pupils and Industrial statistics and Mathematical finance pupils. A questionnaire was given them to roll up informations and the informations collected was analyzed. Different relationships were obtained and they were compared.
Introduction
This statistical study is about an analysis of pupils who are making PT 2009 topic. There were 161 pupils who are making PT 2009 from IS and PS watercourses. All of them were given a questionnaire to reply and informations was collected. Some of the variables in the undermentioned study are z score, type of the school, familyâ€™s oneyear income etc. These variables can be divided chiefly into two as qualitative and quantitative.
These informations are presented in pictural signifier every bit good as in tabular signifier.
Aim
 How to utilize Minitab package to hive away and analyse informations.
 How to utilize informations collected meaningfully to do relationships between two variables.
 How to construe presented information.
Methodology
Component Bar Chart– A saloon chart which shows within each saloon the constituents that make up the saloon ; each constituent is represented by a subdivision proportional in size to its representation in the sum of each saloon.
( hypertext transfer protocol: //encyclopedia2.thefreedictionary.com/component+bar+chart )
Examples:
Histogram– a diagram consisting of rectangles whose country is relative to the frequence of a variable and whose breadth is equal to the category interval.
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Examples:
Scatter Plot– a graph in which the values of two variables are plotted along two axes, the form of the ensuing points uncovering any correlativity nowadays.
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Examples:
Box Plot– a simple manner of stand foring statistical informations on a secret plan in which a rectangle is drawn to stand for the 2nd and 3rd quartiles, normally with a perpendicular line inside to bespeak the average value. The lower and upper quartiles are shown as horizontal lines either side of the rectangle.
( hypertext transfer protocol: //www.google.lk/search? q=histogram+definition & A ; biw=1600 & A ; bih=732 & A ; source=lnms & A ; sa=X & A ; ei=pLwXVZngBdC4uATBrICADw & A ; ved=0CAYQ_AUoAA & A ; dpr=1 # q=box+plot+definition )
Examples:
Pie Chart– a type of graph in which a circle is divided into sectors that each represent a proportion of the whole.
( hypertext transfer protocol: //www.google.lk/ ? gws_rd=cr & A ; ei=1jWQVLSCBMKnuQTHooGYCg # q=definition+of+pie+chart )
Examples:
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Response Rate
Variable 
No.of losing values 
Percentage of losing values 
Position on FB 
21 
13.04 % 
Service Provider 
47 
21.19 % 
Siblingâ€™s undergraduates 
1 
0.62 % 
Type of school 
2 
1.24 % 
Cups of tea 
1 
0.62 % 
Sleeping hours 
1 
0.62 % 
Familyâ€™s oneyear income 
12 
7.44 % 
Preference for 4G plan 
5 
3.11 % 
No.of brothers 
1 
0.62 % 
No. of sisters 
2 
1.24 % 
Height ( centimeter ) 
2 
1.24 % 
Motherâ€™s height 
13 
8.07 % 
Fatherâ€™s height 
16 
9.94 % 
Weight 
2 
1.24 % 
Alcoholic drinks per hebdomad 
8 
4.97 % 
Having a nomadic phone 
1 
0.62 % 
Monthly phone measure 
11 
6.83 % 
Right/Left handed 
1 
0.62 % 
Mother â€“ right/left handed 
1 
0.62 % 
Father right/left handed 
2 
1.24 % 
Institutional Sector 
3 
1.86 % 
Expected monthly wage 
12 
7.45 % 
Outline of the study
In the subdivision 2 of the study ; analysis and reading subdivision ; informations which was collected from the questionnaire were analyzed and different relationships were obtained between different variables. And they were presented in tabular and pictural signifiers. Then readings are written for those relationships.
Analysis AND INTERPRETATION
Gender 
Course 

IS 
PS 

Male 
30 
56 
Female 
21 
54 
Figure 1: Percentage of Males and Females in the PS and IS watercourses
Harmonizing to the above figure there is about same figure of males and females in the physical scientific discipline watercourse but, in the industrial statistics and mathematical finance stream the figure of males are higher than the figure of females.
Figure 2:Height of the pupils in the PS and IS watercourses
Harmonizing to the above figure most of the pupils are around 165 centimeter tallness. Shortest 1s are less than 150 centimeter and tallest 1s are around 187.5 centimeter. The distribution of tallness among the physical scientific discipline and industrial statistics and mathematical finance pupils are symmetric.
Figure 3:Analysis of familyâ€™s monthly income Vs Monthly phone measure in PS and IS watercourses
The above graph is non a additive 1. Harmonizing to the above graph the monthly phone measure of most of the pupils is Rs. 500/= or less than that and their familyâ€™s monthly income is Rs. 100,000/= or less than that. The maximal phone measure among the physical scientific discipline and industrial statistics and mathematical finance is Rs. 3000/= , and the familyâ€™s monthly income of that individual is less than Rs. 100,000/= . The individual with the highest familyâ€™s monthly income which is between Rs.600,000/= and Rs.700,000/= has monthly phone measure
Figure 4: The monthly nomadic measure Vs the service supplier
Harmonizing to the above figure the Hutch uses has the highest median of the monthly Mobile measure which is 900 while duologue users and mobitel utilizations has the least average of the monthly Mobile measure which is 400. Among the physical scientific discipline and industrial statistics and mathematical finance pupils most use Mobitel as their service supplier and least used service suppliers are hutch and Etisalat
Class 
Course 

IS 
PS 

Yes 
98 % 
91.8 % 
Not certain 
2 % 
8.2 % 
Figure 5: Preference for a particular grade plan by IS and PS watercourse pupils
Harmonizing to the above figure IS pupils are most likely to a particular grade than PS pupils. Others are non certain of making a particular grade. When we take both watercourses ; IS and PS as a whole, more than 85 % have the penchant of making a particular grade.
Class 
Course 

IS 
PS 

Yes 
30.4 % 
31.8 % 
No 
15.2 % 
19.1 % 
Not Certain 
54.3 % 
49.1 % 
Figure 6: Preference for a 4G degree plan by IS and PS watercourse pupils
Harmonizing to the above figure IS pupils are non certain of making the 4G degree plan. But more figure of PS pupils donâ€™t like to make the 4G degree plan. Approximately same figure of pupils from the both watercourses wants to make the 4G degree plan.
Figure 7: The relationship between the zscore and the two classs ; IS and PS
IS pupils have a high scope of zscores and has a high median than the PS pupils. There are outliers in this figure. Outliers for IS pupils are below the scope which was taken in to consideration. For PS pupils there is merely one outlier and that is above the scope.
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Figure 8: The relationship between the figure of hours of slumber and the class
Harmonizing to the above figure the two scopes of two classs are the same But there are outliers of the two scopes For IS pupils there is one outlier which is below the scope and for the PS pupils there are 7 outliers and they are besides below the scope.
PROBLEMS AND RECOMMENDATIONS
 Some pupils have non understood some inquiries in the questionnaire, so they have either kept them blank or answered incorrect. They were considered as losing values when the information was analysing. As a recommendation to this job pupils should hold been educated about inquiries in the questionnaire.
 When giving measurings like tallness pupils have used different units, so when come ining informations had to alter all the informations in to the same unit. Even in this job if the inquiry says give the reply in a specific unit there wonâ€™t be a job like this.
Decision
 There are higher figure of males who are making PT 2009 topic
 Most of the pupils have their tallness around 165 centimeter
 Most of the pupils have their monthly household income Rs. 100000 or less than that and their monthly phone measures Rs. 500 or less than that
 Among the pupils who are making PT 2009 Hutch users have the highest norm of their monthly phone measure
 IS pupils are more likely to make a particular grade than the PS pupils
 Approximately same figure of pupils from the both watercourses want to make the 4G grade
 IS pupils have a high mean omega mark than the PS pupils
 Both IS and PS pupils have the same scope of kiping hours.
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