• 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
  • Level: GCSE
  • Subject: Maths
  • Word count: 1818

Mayfield school

Extracts from this document...

Introduction

10/05/2007

Data Handling Coursework

Introduction

I am going to base my coursework on the Mayfield school database. I have written a hypothesis to show that my work is independent.  I intend to use the autograph package for my graphs and calculations and also using Microsoft Excel to produce my scatter graphs.  I am going to try and prove or disprove my hypothesis by using scatter graphs, Histograms and analyses.  My samples of data can be found at the back of my investigation in an appendix.  

To show how strong or weak the correlation is on each graph of Ks4 boys  and girls I am going to state the R value, which will give me 95% confidence as to whether the correlation is strong or weak.  To decipher whether the R value is above or below the minimum for strong correlation I will be using a Critical values for correlation coefficient table, which can be found at the back of the appendix.  

Hypothesis: my hypothesis is that

To investigate my first Hypothesis I must draw scatter graphs to compare height and weight at ks4 in girls and boys.

...read more.

Middle

10

Female

1.73

51

10

Female

1.72

56

10

Female

1.62

48

10

Female

1.75

57

10

Female

1.73

51

10

Female

1.62

48

10

Female

4.65

53

10

Female

1.70

48

10

Female

1.62

54

10

Female

1.56

56

10

Female

1.73

58

10

Female

1.72

51

10

Female

1.65

54

10

Female

1.55

55

10

Female

1.47

45

10

Female

1.79

52

10

Female

1.71

54

10

Female

1.70

48

10

Female

1.76

52

10

Female

1.70

50

10

Female

1.75

56

10

Female

1.75

60

10

Female

1.53

65

10

Female

1.63

54

10

Female

1.73

45

10

Female

1.53

51

Yr 11 Boys Height and Weight Sample

Year Group

Gender

Height (m)

Weight (kg)

11

Male

1.67

66

11

Male

1.71

57

11

Male

1.52

60

11

Male

1.72

63

11

Male

1.91

82

11

Male

1.77

57

11

Male

1.8

60

11

Male

1.86

56

11

Male

1.81

72

11

Male

1.75

60

11

Male

1.85

73

11

Male

1.72

58

11

Male

1.32

45

11

Male

1.62

52

11

Male

1.62

56

11

Male

1.67

50

11

Male

1.88

75

11

Male

1.55

54

11

Male

1.51

40

11

Male

1.78

67

11

Male

1.6

38

11

Male

1.61

47

11

Male

1.68

50

11

Male

1.65

54

11

Male

1.62

51

11

Male

1.79

72

11

Male

1.8

72

11

...read more.

Conclusion

colspan="1" rowspan="1">

11

Female

1.62

56

11

Female

1.55

36

11

Female

1.63

44

11

Female

1.63

44

11

Female

1.72

51

11

Female

1.68

54

11

Female

1.73

64

11

Female

1.73

50

11

Female

1.63

47

11

Female

1.56

50

11

Female

1.69

51

11

Female

1.63

48

11

Female

1.62

54

11

Female

1.72

51

11

Female

1.65

66

11

Female

1.65

54

11

Female

1.65

42

11

Female

1.68

48

11

Female

1.61

54

11

Female

1.61

54

11

Female

1.52

38

11

Female

1.70

50

11

Female

1.68

47

11

Female

1.75

56

11

Female

1.63

45

11

Female

1.75

60

11

Female

1.72

60

11

Female

1.68

48

16 year olds Histogram sample

Year Group

Years

Gender

Height (m)

Weight (kg)

11

16

Female

1.83

60

11

16

Female

1.67

52

11

16

Female

1.60

54

11

16

Female

1.55

36

11

16

Male

1.67

66

11

16

Male

1.71

57

11

16

Male

1.52

60

11

16

Female

1.63

44

11

16

Female

1.63

44

11

16

Female

1.72

51

11

16

Male

1.72

63

11

16

Male

1.91

82

11

16

Male

1.77

57

11

16

Female

1.68

54

11

16

Female

1.73

64

11

16

Female

1.73

50

11

16

Female

1.63

47

11

16

Female

1.56

50

11

16

Male

1.8

60

11

16

Male

1.86

56

11

16

Male

1.81

72

11

16

Male

1.75

60

11

16

Female

1.69

51

11

16

Female

1.63

48

11

16

Female

1.62

54

Mitchell Price

...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. A hypothesis is the outline of the idea/ideas which I will be testing and ...

    range of the data but meanwhile keep the hypothesis as unbiased as possible as I had explained at an earlier stage. The Sampling Method I will be using to do this is STRATIFIED as with the first hypothesis since I duly believe that this sampling method is the most accurate

  2. Mayfield School Mathematics Statistics Coursework

    Male Stratified Sample Results Year Group Surname Forename Height (m) Weight (kg) 7 Austin Steven 1.54 43 7 Lloyd Mark 1.61 56 7 Mills Robert 1.63 50 7 Pearce Stuart 1.50 34 7 Thorpe Billy 1.53 40 8 Freeman Ian 1.82 64 8 Jones Kevin 1.62 49 8 McGrail Craig

  1. Liquid chromatography is a technique used to separate components of a mixture to isolate ...

    It could be argued that by increasing the volume of the sample injected onto the column, the number of plates (N) would decrease. For example, if 1ml of sample was injected onto a 10cm long column, the sample is only "seeing" 9cm of the column and exits more quickly from the column.

  2. Mayfield High School Project

    131/580 = 0.22586207 X 30 = 6.7758621 = 7 Year 7 - Boys - 151/603 = 0.25041459 X 30 = 7.5124377 = 8 Year 8 - Girls - 125/580 = 0.21551724 X 30 = 6.4655172 =6 Year 8 - Boys - 145/603 = 0.24046434 X 30 = 7.2139302 = 7

  1. Conduct an investigation comparing height and weight from pupils in Mayfield School.

    1.3 1.3 The first value on my graph is 25, so 25 + 40 = 65 So the equation of my line of best for girls suggests that a person who is 175cm tall will weigh 65kg. I will now find the frequency density for my data, to show the

  2. Data Handling Coursework

    4 40-49 15 27 50-59 20 24 60-69 || 12 2 70-79 | 5 1 80-89 90-99 | 1 � 140-149 | 1 I can easily see which weights fall into which classes: Key: 20|6 = 26 Stem leaf Girls Weight (kg)

  1. Mayfield High School

    1.33 0.6982 The equation of the line of best fit tells you how to obtain the co-ordinates for the Y - axis, by multiplying the coefficient by x, and then subtracted by the remaining number. For example, the scatter graph showing the IQ and average Key Stage 2 results has the following equation - Y=0.0538x - 1.33.

  2. "Medicine was a Battleground for the war between the sexes in the Greco-Roman World". ...

    Even in temple medicine, male healers used the notion of cleanliness to suppress females in society: 'before uttering a prophecy, the priestess of Apollo chews laurel', which was considered cleansing, because 'prophecy requires purity, while womanhood... entails susceptibility to impurity' (Von Staden, 1992).

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