# Investigation on Attendence and Grade Mayfield High

Extracts from this document...

Introduction

PLAN

In my investigation I will try to find a relationship between Attendence (%) and GCSE maths (%) of from a sample of 200 students. I will be using a set of secondary data to pick my sample of students.

To start my investigation by picking 25 random students from the sample, I will do this by using a calculator.

SHIFT + RAN# =

However I have found that the method of random sampling is not accurate as the calculator was giving me larger numbers than the sample size. Also I have found that random sampling does not give me an even spread of data, therefore my sample of data will be inaccurate.

Futhermore I have chose to use a more systamatic approach. Therefore I will get a sample with an even spread of data which will be spead out over the sample rather then clustered.

I have chosen to systamatically pick a sample of 25 by picking every 8th student from the data.

200/8 = 25

After choosing my sample of 25 I will go on to organise my data by putting my data into a tally. Once I have done this I will show my data onto a bar graph comparing the Attendence (%) and GCSE maths (%)

Middle

After observing my data for my mixed sample, I have come up with a hypothesis.

My hypothesis is “the higher your attendence (%) the better GCSE score (%)”.

This shall be my general hypothesis.

The investigation shall be extended to prove my hypothesis.

I have put my data into a scatter graph.

Scatter diagrams shows the relationships between attendence (%) and

GCSE score (%)”.

From looking at the scatter graph I can see a direct link between the two variables. The higher the students attendence (%) is, the better GCSE score (%) they have.

The investigation shall be extended to prove my hypothesis. I have chosen another two sets of data for Males and Females.

I have chosen to systamatically pick a sample of 25 by picking every 8th student from the data.

200/8 = 25

I have chosen a sample of 25 Males and 25 Femlaes using systamatic sampling. I have chosen every 8th male and every 8th Female.

Attendence (%) | Sex | Maths (%) |

85.4 | M | 49 |

70.7 | M | 21.9 |

75.7 | M | 37.3 |

83.7 | M | 50 |

73.7 | M | 58.3 |

88.6 | M | 46.9 |

87.4 | M | 55.4 |

81.8 | M | 38.6 |

82 | M | 47.1 |

82.1 | M | 57.9 |

96.3 | M | 72.1 |

91.2 | M | 58.1 |

76.2 | M | 26.5 |

94.1 | M | 52 |

76.5 | M | 45 |

75.6 | M | 55.2 |

96.9 | M | 41.9 |

81.1 | M | 58.9 |

74.1 | M | 52 |

89.9 | M | 58.5 |

80.2 | M | 34.9 |

60. 8 | M | 27.1 |

86 | M | 52.7 |

82.4 | M | 36.9 |

79.1 | M | 66.2 |

Attendence (%) | Sex | Maths (%) |

62.8 | F | 29.2 |

58.8 | F | 15.6 |

83.4 | F | 85 |

72.6 | F | 57.2 |

89.5 | F | 84.7 |

87 | F | 79 |

77.6 | F | 62.1 |

82.8 | F | 70.3 |

83.5 | F | 80.1 |

82 | F | 80.2 |

90 | F | 83.2 |

99.1 | F | 98.5 |

58.2 | F | 10.2 |

73.1 | F | 56.8 |

86.3 | F | 82.3 |

78.4 | F | 57.7 |

96.6 | F | 100 |

75 | F | 60.8 |

76.5 | F | 51.9 |

93.2 | F | 95.3 |

86.2 | F | 73.8 |

85.4 | F | 73.9 |

61.7 | F | 26.6 |

96 | F | 99.1 |

61.1 | F | 26.2 |

Attendence (%) | Tally | Frequency |

60>Att<70 | 1 | |

70>Att<80 | 8 | |

80>Att<90 | 12 | |

90>Att<100 | 4 |

Conclusion

Attendence (%) 50>Mth<60 | Tally | Frequency 2 |

60>Att<70 | 3 | |

70>Att<80 | 6 | |

80>Att<90 | 9 | |

90>Att<100 | 5 |

Tally chart for Female data- Attendence (%)

I have found there only 2 female students who has Attendence (%) between 50>Mth<60.

The majoraty of female students have a Attendence (%) beween 80>Mth<90.

Tally chart for Male data GCSE maths (%)

GCSE maths (%) 10>Mth<20 | Tally | Frequency 2 |

20>Mth<30 | 3 | |

30>Mth<40 | 0 | |

40>Mth<50 | 0 | |

50>Mth<60 | 4 | |

60>Mth<70 | 2 | |

70>Mth<80 | 4 |

Attendence (%) | MEAN | MODE | MEDIAN | RANGE |

BOYS | ||||

GIRLS |

GCSE Maths (%) | MEAN | MODE | MEDIAN | RANGE |

BOYS | ||||

GIRLS |

##### Conclusion

After carrying out this investigation I have proved my “general hypothesis” to be correct. I have concluded that as the attendence of a pupil increases, the chance that they will get a higher GCSE score wil as increase.

## Evaluation

After carrying out this investigation I have found that I could have improved the accuracy of my data by using primary data. I would use primary data because it is first hand therefore more accurate and it will be to date. The data I used was secondary data this makes it innacurate. Also I could have compared attendence with the final GCSE score of students. Also the sample size diidnt reflect the data, as it was too small. But if the sample that was used were bigger it would have made the investigation too complecated.

This student written piece of work is one of many that can be found in our GCSE Height and Weight of Pupils and other Mayfield High School investigations section.

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