• Join over 1.2 million students every month
  • Accelerate your learning by 29%
  • Unlimited access from just £6.99 per month

Statistics Coursework

Extracts from this document...

Introduction

Anthony Armstrong                                                                                         11 Lawes

Statistics Coursework

Aim:        

We have been given a sheet of data stating different categories of pupil’s interests and physical features. These range from year 7 to year 11.  I will be analysing the relationship between IQ and Key stage two results. I will also be analysing the height difference between boys and girls in years 7 and 11 from the Mayfield High data.

1st Hypothesis

        I predict that the pupil IQ reflects their KS2 results. The higher the IQ the greater the KS2 result and vice versa. This is because I believe that a person with a higher IQ is generally a clever person and would get high test results.

2nd Hypothesis

        The year 7 boys and girls height appear to be very similar.

...read more.

Middle

60

1.59

52

1.73

42

1.50

41

1.68

59

1.55

52

1.75

50

1.52

35

1.62

63

1.75

55

1.61

54

1.55

38

1.75

59

1.75

64

1.55

48

1.73

59

1.72

71

1.66

50

1.65

45

1.66

43

1.75

57

1.60

58

1.80

74

1.73

56

1.80

40

1.62

47

1.60

54

1.55

64

1.68

42

1.57

61

1.56

50

1.56

50

1.80

72

1.80

58

1.61

54

1.70

55

1.52

60

1.58

58

1.58

54

1.50

39

1.32

45

1.58

52

1.62

48

1.63

41

1.61

47

1.8

60

1.56

45

1.75

42

1.82

66

1.63

52

1.62

54

1.63

42

1.69

65

1.8

62

1.50

45

1.73

47

1.8

68

1.65

72

1.70

54

1.60

38

1.84

78

1.62

48

1.66

54

1.65

50

1.84

76

I then created a scatter graph with this sample of data to easily compare the statistics and see whether there is a positive or negative correlation.

image01.png

As shown on the graph, the correlation is strongly positive suggesting that the weight and height go up equally. This means that my hypothesis was correct.

I decided to choose 20 girls from year 7, 20 boys from yr 7, 20 girls from year 11 and 20 boys from yr 11 so I could compare height from two extremes of the school. To generate the random numbers I used the ‘Shift ran# *’ function in spreadsheet. This gave me the desired information.

Number

Year

Number

Male or Female

Height (m)

1

7

8

...read more.

Conclusion

>

7

149

M

1.65

7

7

211

M

1.65

8

7

273

M

1.50

9

7

160

M

1.60

10

7

222

M

1.63

11

7

171

M

1.50

12

7

115

M

1.52

13

7

188

M

1.51

14

7

250

M

1.59

15

7

199

M

1.51

16

7

261

M

1.55

17

7

143

M

1.54

18

7

267

M

1.51

19

7

254

M

1.64

20

7

165

M

1.48

1

11

77

F

1.61

2

11

46

F

1.50

3

11

32

F

1.62

4

11

70

F

1.70

5

11

2

F

1.60

6

11

36

F

1.25

7

11

5

F

1.55

8

11

43

F

1.75

9

11

50

F

1.42

10

11

87

F

1.74

11

11

16

F

1.63

12

11

51

F

1.72

13

11

43

F

1.75

14

11

80

F

1.62

15

11

12

F

1.60

16

11

46

F

1.50

17

11

33

F

1.55

18

11

19

F

1.75

19

11

26

F

1.48

20

11

13

F

1.65

1

11

164

M

1.55

2

11

145

M

1.60

3

11

137

M

1.20

4

11

143

M

1.52

5

11

161

M

1.80

6

11

125

M

1.70

7

11

116

M

1.68

8

11

155

M

1.68

9

11

127

M

1.70

10

11

164

M

1.55

11

11

113

M

1.58

12

11

128

M

1.50

13

11

158

M

1.73

14

11

147

M

1.55

15

11

121

M

1.73

16

11

113

M

1.58

17

11

88

M

1.70

18

11

108

M

1.52

19

11

99

M

1.43

20

11

114

M

1.69

Statistics Coursework                                                                                   Mrs Crowder

...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. mayfield high statistics coursework

    1.38 35 8 Peter Zakir 1.63 41 8 Wilson Christopher 1.53 32 9 Davidson Jimmy 1.61 45 9 Jones Jimmy 1.52 46 9 Jones Brian 1.32 38 9 Rowley Geoff 1.56 53 10 Bates Markus 1.80 60 10 Edd Michael 1.68 59 10 Javidson Carlos 1.70 57 11 Fairfax Jacob

  2. Mayfield School Mathematics Statistics Coursework

    once again adopt is the calculation of the productmoment correlation coefficient for each year group and then compare these. So, to extend my analysis in such a manner, I will now carry out the required calculations for my new set of data.

  1. Mayfield High Statistics Coursework

    5 19 106 5 year 8 boys 16 117 6 87 101 4 114 93 4 year 8 girls 62 92 5 9 102 3 year 9 boys 109 97 4 112 92 4 year 9 girls 67 107 4 102 106 4 70 78 3 year 10 boys 73

  2. Edexcel GCSE Statistics Coursework

    I will use categorical qualitative data to show the gender of the students, as 'female/male' is non-numerical. I will use continuous qualitative data for height and weight because they can both be measured and can be any value within a given range.

  1. Maths Statistics Coursework - relationship between the weight and height

    The most occurring height for the boys was 1.65m and for the girls it was 1.6 and 1.5m which indicates to me that there are more boys that are taller than girls. The median however, is almost the same which back slaps that last statement.

  2. Maths Statistics Coursework

    Year 11 girls I have rounded the number up to 11. I will use 11 samples of data from year 11 girls. I will check if my calculations are correct by adding al my sample sizes together and see if they add up to 150 if they don't I have made a mistake.

  1. GCSE Maths Coursework: Statistics Project

    as I can now find out the median, upper quartile, lower quartile and interquartile range: Weight (kg) Median Lower Quartile Upper Quartile Interquartile range Year 7 40 36 46 10 Year 10 50 43 59 16 This is more accurate data, is it is a continuous approximation of the distribution of values.

  2. Statistic Coursework

    We can see from these charts that although the difference between sample size was very small, the data in almost completely opposite, showing diversity. I also drew cumulative frequency diagrams to show the gender separation on both logical and creative subjects.

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