• Join over 1.2 million students every month
  • Accelerate your learning by 29%
  • Unlimited access from just £6.99 per month
Page
  1. 1
    1
  2. 2
    2
  3. 3
    3
  4. 4
    4
  5. 5
    5
  6. 6
    6
  7. 7
    7
  8. 8
    8
  9. 9
    9
  10. 10
    10
  11. 11
    11
  12. 12
    12
  13. 13
    13
  14. 14
    14
  15. 15
    15
  16. 16
    16
  17. 17
    17
  18. 18
    18
  19. 19
    19
  20. 20
    20
  • Level: GCSE
  • Subject: Maths
  • Word count: 1547

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 (%)

...read more.

Middle

image25.png

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.

image26.png

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

...read more.

Conclusion

Attendence (%)

image03.png

          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 (%)

image02.pngimage04.png

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 (%)

image05.png

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

image06.pngimage07.pngimage08.png

image10.pngimage07.pngimage09.png

image12.pngimage11.png

image13.png

image15.pngimage14.pngimage27.png

Attendence (%)

MEAN

MODE

MEDIAN

RANGE

BOYS

GIRLS

image16.pngimage28.png

GCSE Maths (%)

MEAN

MODE

MEDIAN

RANGE

BOYS

GIRLS

image24.png

image29.png

image30.png

image21.png

image22.pngimage17.png

image18.png

image23.png

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.

...read more.

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.

Found what you're looking for?

  • Start learning 29% faster today
  • 150,000+ documents available
  • Just £6.99 a month

Not the one? Search for your essay title...
  • Join over 1.2 million students every month
  • Accelerate your learning by 29%
  • Unlimited access from just £6.99 per month

See related essaysSee related essays

Related GCSE Height and Weight of Pupils and other Mayfield High School investigations essays

  1. Is there a link

    With the xaxis as Maths and the y-axis as Science, I produced the scatter diagram inserted over the page. Studying the scatter diagram, it is clear that there is a link between the Key Stage 2 results for Maths and Science; students who scored high in Maths were more than likely to have scored high in Science.

  2. Statistics Mayfield High

    A value -1 will show that the graph has a strong negative correlation and a value of 0 shows it has no correlation. As it is easy to create on the computer; I will also work out the SD. I will be using Microsoft Excel to create the graphs and work out any calculations.

  1. Maths Data Handling

    This suggests that there is a better correlation between height and weight when girls and boys are considered separately. > The scatter graphs can be used to give reasonable estimates of height and weight. This can be shown either by reading from the graph or by equations of lines of best fit.

  2. Mayfield High School Project

    of best fit, and the female pupils graph consisting of a fairly steep gradient. This could be explained due to female pupils caring about their appearance more, but the male pupils change I cannot explain. This could just be chance, as there are only 5 points on the graph anyway

  1. My investigation is to explore the average student.

    1. Age: I am investigating pupils in year 11 so everybody I ask should be either 15 or 16. If they are not then I will not include them in my investigation because it will not be a fair test. Anybody older or younger will give me different results and so will disrupt the average.

  2. Mayfield igh Investigation

    Height (cm) 95 72 181 101 56 162 102 50 167 106 67 178 111 54 165 116 66 182 119 63 162 120 63 162 123 54 181 127 50 174 131 35 150 140 58 168 146 45 192 150 48 162 151 49 157 155 42 161

  1. Trolley Investigation

    It measures the speed in m/s to 3 decimal places. Diagram Method The apparatus will be set up as above. The jack will be used to raise the ramp to a certain height. The height of the start position of the trolley will be measured and then the height of

  2. Data Handling Maths Coursework

    For instance, a student's hair colour has no effect on his/her height or weight. Therefore, I would delete this field. Plan: My intention for this investigation is to prove that my hypotheses are correct or incorrect. Throughout the investigation, I intend to follow a similar, general method, which will vary slightly with each hypothesis.

  • Over 160,000 pieces
    of student written work
  • Annotated by
    experienced teachers
  • Ideas and feedback to
    improve your own work