# Analysis Report of students who are doing PT 2009 subject

Contents

## 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 one-year 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.

- 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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...ZngBdC4uATBrICADw & A ; ved=0CAYQ_AUoAA & A ; dpr=1 # q=scatter+plot+definition )

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.

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:

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 one-year 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 z-score and the two classs ; IS and PS**

IS pupils have a high scope of z-scores 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.

**Figure 8: The relationship between**

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