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  • Level: GCSE
  • Subject: Maths
  • Word count: 2849

Investigation into 100m times and long jump distances

Extracts from this document...

Introduction

Edexcel GCSE Statistics Coursework                ictl

Investigation into 100m times and long jump distances

Introduction

I intend to use my school’s athletic sports results database to conduct an investigation into the relationship between the 100m times and the long jump distances throughout the year groups. This database contains secondary data which are both quantitative and qualitative from years 7 to 11 in RGS. This data should be reliable because the data was recorded under supervision.

I have chosen to use quantitative data for my investigation because qualitative data tends to be much more limited than quantitative data as quantitative data can take any numerical value whereas qualitative data can only take specific values (e.g. colours: blue, red green).

I believe that the faster somebody runs the higher and further s/he will jump. I believe this because many fast runners have long legs, which enable them to run with a longer stride. Also, it takes more energy fore someone with shorter legs to run the same distance and at the same speed as somebody with longer legs.

I also believe that somebody’s running speed will improve as he/she ages throughout secondary school. I believe this because many people start their growth spurt between year 8 and year 10 and will continue growing until they are about 18. Also, older people will improve as they grow older as they would have had more practice.

I also think that running speeds will follow a normal distribution throughout the year groups with the majority of people with a time near the centre of the distribution and a few people with a faster or slower time. I believe this

...read more.

Middle

17.1

3.15

=RANK(B12,$B$3:$B$42)

=RANK(C12,$C$3:$C$42)

30

13

=F12-G12

=H12^2

17.1

3.1

=RANK(B13,$B$3:$B$42)

=RANK(C13,$C$3:$C$42)

30

14.5

=F13-G13

=H13^2

17.1

3.7

=RANK(B14,$B$3:$B$42)

=RANK(C14,$C$3:$C$42)

30

4.5

=F14-G14

=H14^2

17.2

2

=RANK(B15,$B$3:$B$42)

=RANK(C15,$C$3:$C$42)

28

38

=F15-G15

=H15^2

17.4

3.8

=RANK(B16,$B$3:$B$42)

=RANK(C16,$C$3:$C$42)

27

3

=F16-G16

=H16^2

17.8

2.75

=RANK(B17,$B$3:$B$42)

=RANK(C17,$C$3:$C$42)

25.5

24.5

=F17-G17

=H17^2

17.8

3.2

=RANK(B18,$B$3:$B$42)

=RANK(C18,$C$3:$C$42)

25.5

10.5

=F18-G18

=H18^2

18.1

3

=RANK(B19,$B$3:$B$42)

=RANK(C19,$C$3:$C$42)

24

16

=F19-G19

=H19^2

18.3

2.9

=RANK(B20,$B$3:$B$42)

=RANK(C20,$C$3:$C$42)

23

18.5

=F20-G20

=H20^2

18.4

3.2

=RANK(B21,$B$3:$B$42)

=RANK(C21,$C$3:$C$42)

21.5

10.5

=F21-G21

=H21^2

18.4

2.6

=RANK(B22,$B$3:$B$42)

=RANK(C22,$C$3:$C$42)

21.5

28.5

=F22-G22

=H22^2

18.5

2.5

=RANK(B23,$B$3:$B$42)

=RANK(C23,$C$3:$C$42)

20

31.5

=F23-G23

=H23^2

18.6

2.8

=RANK(B24,$B$3:$B$42)

=RANK(C24,$C$3:$C$42)

19

22

=F24-G24

=H24^2

18.7

2.6

=RANK(B25,$B$3:$B$42)

=RANK(C25,$C$3:$C$42)

18

28.5

=F25-G25

=H25^2

19.2

2.9

=RANK(B26,$B$3:$B$42)

=RANK(C26,$C$3:$C$42)

16.5

18.5

=F26-G26

=H26^2

19.2

2.3

=RANK(B27,$B$3:$B$42)

=RANK(C27,$C$3:$C$42)

16.5

35

=F27-G27

=H27^2

19.6

3.9

=RANK(B28,$B$3:$B$42)

=RANK(C28,$C$3:$C$42)

15

2

=F28-G28

=H28^2

19.7

2.5

=RANK(B29,$B$3:$B$42)

=RANK(C29,$C$3:$C$42)

14

31.5

=F29-G29

=H29^2

19.9

2.5

=RANK(B30,$B$3:$B$42)

=RANK(C30,$C$3:$C$42)

13

31.5

=F30-G30

=H30^2

20.2

2.5

=RANK(B31,$B$3:$B$42)

=RANK(C31,$C$3:$C$42)

12

31.5

=F31-G31

=H31^2

20.7

2.8

=RANK(B32,$B$3:$B$42)

=RANK(C32,$C$3:$C$42)

11

22

=F32-G32

=H32^2

20.8

2.9

=RANK(B33,$B$3:$B$42)

=RANK(C33,$C$3:$C$42)

10

18.5

=F33-G33

=H33^2

20.9

2.7

=RANK(B34,$B$3:$B$42)

=RANK(C34,$C$3:$C$42)

9

26.5

=F34-G34

=H34^2

21

2

=RANK(B35,$B$3:$B$42)

=RANK(C35,$C$3:$C$42)

7.5

38

=F35-G35

=H35^2

21

2

=RANK(B36,$B$3:$B$42)

=RANK(C36,$C$3:$C$42)

7.5

38

=F36-G36

=H36^2

21.4

2.75

=RANK(B37,$B$3:$B$42)

=RANK(C37,$C$3:$C$42)

6

24.5

=F37-G37

=H37^2

21.7

2

=RANK(B38,$B$3:$B$42)

=RANK(C38,$C$3:$C$42)

5

38

=F38-G38

=H38^2

22.3

2.4

...read more.

Conclusion

This data has a number of limitations. For example, the results are only valid for one school (RGS) and for one gender (boys). Values may differ between different schools, areas and genders. An improvement could be to include results from all schools in the area, or all schools in the country if possible and by including results from girls as well.

The data was also taken from a secondary source. This could affect the results as the person(s) collecting the data might have made errors. To eliminate sources of error as far as possible, primary data could have been used or I could have been physically present when the results were recorded to ensure there were no errors.

Only three years (years 7, 9 and 11) were used in my sample. It is possible that there are errors in one of these years, which could affect the results. Including all years in my sample might highlight these errors, which might improve the accuracy of the graphs, box plots and histograms.

Overall, I think that this investigation is valid only for male students at RGS, but can be further improved in a number of ways.


Appendix

Data sample:

2006/7

2006/7

2006/7

100m

L.J.

100m

L.J.

100m

L.J.

7B

22.73

2.7

9C

14.16

3.7

11C

16.4

4

7B

15.4

3.6

9C

16.4

3

11D

15.8

3.45

7A

15.6

3.2

9S

14.64

3.8

11D

13.9

4.5

7C

18.4

3.2

9S

17.67

2.7

11A

16

3.5

7A

18.5

2.5

9S

16.76

3.3

11B

13.8

4

7C

16.5

2.8

9C

16.8

3.4

11C

15.6

4

7A

21

2

9C

17.8

2.4

11B

15.8

4

7C

20.7

2.8

9A

17

3.15

11D

16.5

3.3

7C

20.8

2.9

9A

21.7

2

11B

16.8

3.2

7A

21

2

9A

15.4

2.9

11C

15.5

3.9

7B

17.1

3.15

9B

17.42

2.9

11C

13.8

4.1

7B

16.1

3.7

9B

14.2

4.2

11C

19.2

2.5

7C

17

3.2

9B

17.48

2.9

11D

14.1

4.85

7A

22.3

2.4

9B

18.5

1.8

11C

20.7

1.5

7B

21.7

2

9B

17.67

3.4

11A

14.9

4.2

7C

19.9

2.5

9B

17.05

3.5

11C

14.9

4

7A

16.4

2.9

9A

18.6

2.3

11A

13.2

4.3

7B

17.2

2

9A

18.4

3.3

11C

15.8

3.6

7C

19.6

3.9

9B

17.9

2.5

11A

18.3

2.4

7A

18.4

2.6

9A

17.4

2.9

11D

14.7

4

7B

16.2

3.1

9B

18.2

3.4

11A

14.8

4

7A

17.1

3.1

9B

15

3.7

11A

17.6

3.6

7A

19.2

2.9

9B

17.26

3.1

11C

15

4.1

7C

17.8

2.75

9C

16

3.45

11D

14.5

4.25

7A

19.2

2.3

9B

18.5

2.5

11D

22.8

2.3

7A

24

2

9C

17.1

2.4

11B

14.8

3.7

7B

16.1

3.35

9B

15.3

3.4

11D

13.8

4

7A

16.9

4.05

9C

15.9

3.3

11B

14.5

4.35

7C

17.8

3.2

9C

14.6

4.1

11A

13.9

5

7A

18.1

3

9C

16.1

3.1

11C

16.5

3.5

7B

18.6

2.8

9B

15.5

4

11A

15.7

4.1

7C

21.4

2.75

9B

15.48

3.3

11B

17.1

3.5

7A

18.7

2.6

9B

20.7

2

11C

14.4

3.8

7B

20.9

2.7

9B

16.89

2.4

11C

13.9

4.3

7A

18.3

2.9

9B

16.53

3.1

11A

16.1

3

7C

17.4

3.8

9B

17.4

2.3

11B

18.8

3.1

7C

17.1

3.7

9C

17.9

3

11D

13.5

4.5

7B

19.7

2.5

9B

16.42

3.35

11B

18.3

3.4

7C

24.3

3.5

9B

16.1

3

11D

13.4

4.3

7A

20.2

2.5

9A

14.7

3.15

11B

14.4

4.35

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