• 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
21. 21
21
22. 22
22
23. 23
23
24. 24
24
25. 25
25
• Level: GCSE
• Subject: Maths
• Word count: 6409

# Data comparing year 7 and year 11 length estimates - How well can you estimate the length of a stick?

Extracts from this document...

Introduction

 Year Seven Gender Length (m) F 1.50 M 1.89 F 1.11 F 1.50 F 1.61 M 1.20 F 1.04 M 1.00 F 1.50 F 1.57 F 1.45 F 1.20 M 1.25 F 1.63 F 2.00 F 2.30 M 1.45 F 1.25 F 1.20 M 1.60 M 1.95 F 1.00 F 1.30 M 1.60 F 1.70 M 1.65 M 1.61 F 1.75 F 1.60 F 1.60 M 1.80 F 1.50 F 1.58 F 1.75 M 1.55 M 1.82 M 1.40 F 1.75 F 1.34 F 1.60 M 1.20 M 2.50 F 1.40 M 1.73 F 1.67 M 1.24 M 1.30 F 1.09 F 1.50 F 1.05

Data comparing year 7 and year 11 length estimates

How well can you estimate the length of a stick?

## Introduction

I have collected data from year 7 and year 11 pupils and have recorded their estimates of how long they think the bamboo stick is. A bamboo stick of length 1.58m was held up in front of 173 year 7 pupils and 178 year 11 pupils. The stick was held horizontally so the length of the stick could not be compared to the height of the person. The pupils were then asked to estimate the length of the bamboo stick in metres. I have collated the data into two tables, one for year 7 and one for year 11. I have then used this data to pick a random sample of 50 from each year. I have given each set of measurements a number ranging from 1 to 173 for year 7 and 1 to 178 for year 11. In this way I will be able to use my calculator to obtain a random number, which I can use to select a set of data from my tables. I rounded the random number generated to the nearest integer. I have achieved this by using the following formula.

## Year 7

Ran# x 173 = person on list.

## Year 11

Ran# x 178 = person on list.

This has given me a sample of estimates to work with as shown on the following pages. I discarded the data if I got the same person on the list twice.

 Year Eleven Gender Length (m) F 1.27 M 1.50 F 1.55 M 2.60 M 1.24 M 1.20 F 1.40 M 1.75 F 1.45 M 1.35 M 1.56 M 1.48 F 1.44 F 1.70 M 1.30 M 1.63 F 1.60 M 1.50 F 1.60 F 1.75 M 1.77 M 1.35 M 1.65 M 1.42 F 1.60 M 1.45 M 2.00 F 1.58 F 1.25 M 1.30 M 1.45 M 1.75 M 1.48 F 1.45 F 1.45 F 0.75 F 1.10 F 1.90 F 1.66 F 1.50 M 1.55 F 1.63 M 1.49 M 1.40 M 1.50 M 1.65 M 1.32 F 1.80 F 1.52 M 1.70

Hypothesis

I believe that the year 11 pupils will have better estimates of the length of the stick and therefore the mean of their estimates will be closer to the actual length of the stick. I believe that the year 7 pupils will be less accurate and the mean of their estimates will be further away from the actual length of the stick. I also think that the year 11 data will have a smaller range with 50% guessing between 1.40m and 1.60m. I expect the year 11 data to deviate from the mean only slightly and therefore have a smaller standard deviation. I believe that the year 7 data will have a larger range with 10% guessing between 1.40m and 1.60m. I expect the year 7 data to have a larger standard deviation that the year 11 because I believe that each set of data will deviate from the mean by a large amount. I expect the bar chart of the year 11 data to look symmetrical and the median to be close to the actual length. I also expect the bar chart of the year 7 data to look symmetrical however I do not expect the mean to be as close to the actual length.

Overall I believe that the year 11 pupils will have more accurate estimates because they have been working with measurements for a longer time than the year 7 and therefore will have a better idea of how long a metre is.

Year 7

 Estimated Length (m) Frequency Cumulative frequency 0 ≤ x < 0.2 0 0 0.2 ≤ x < 0.4 0 0 0.4 ≤ x < 0.6 0 0 0.6 ≤ x < 0.8 0 0 0.8 ≤ x < 1.0 0 0 1.0  ≤ x < 1.2 6 6 1.2  ≤ x < 1.4 10 16 1.4  ≤ x < 1.6 12 28 1.6  ≤ x < 1.8 14 42 1.8  ≤ x < 2.0 5 47 2.0  ≤ x < 2.2 1 48 2.2  ≤ x < 2.4 1 49 2.4  ≤ x < 2.6 1 50 2.6  ≤ x < 2.8 0 50

## Year 11

 Estimated Length (m) Frequency Cumulative frequency 0 ≤ x < 0.2 0 0 0.2 ≤ x < 0.4 0 0 0.4 ≤ x < 0.6 0 0 0.6 ≤ x < 0.8 1 1 0.8 ≤ x < 1.0 0 1 1.0  ≤ x < 1.2 1 2 1.2  ≤ x < 1.4 9 11 1.4  ≤ x < 1.6 21 32 1.6  ≤ x < 1.8 14 46 1.8  ≤ x < 2.0 2 48 2.0  ≤ x < 2.2 1 49 2.2  ≤ x < 2.4 0 49 2.4  ≤ x < 2.6 0 49 2.6  ≤ x < 2.8 1 50

## Year 7

 Estimated Length (m) Frequency Mid point 0 ≤ x < 0.2 0 0.1 0.2 ≤ x < 0.4 0 0.3 0.4 ≤ x < 0.6 0 0.5 0.6 ≤ x < 0.8 0 0.7 0.8 ≤ x < 1.0 0 0.9 1.0  ≤ x < 1.2 6 1.1 1.2  ≤ x < 1.4 10 1.3 1.4  ≤ x < 1.6 12 1.5 1.6  ≤ x < 1.8 14 1.7 1.8  ≤ x < 2.0 5 1.9 2.0  ≤ x < 2.2 1 2.1 2.2  ≤ x < 2.4 1 2.3 2.4  ≤ x < 2.6 1 2.5 2.6  ≤ x < 2.8 0 2.7

Year 11

 Estimated Length (m) Frequency Mid point 0 ≤ x < 0.2 0 0.1 0.2 ≤ x < 0.4 0 0.3 0.4 ≤ x < 0.6 0 0.5 0.6 ≤ x < 0.8 1 0.7 0.8 ≤ x < 1.0 0 0.9 1.0  ≤ x < 1.2 1 1.1 1.2  ≤ x < 1.4 9 1.3 1.4  ≤ x < 1.6 21 1.5 1.6  ≤ x < 1.8 14 1.7 1.8  ≤ x < 2.0 2 1.9 2.0  ≤ x < 2.2 1 2.1 2.2  ≤ x < 2.4 0 2.3 2.4  ≤ x < 2.6 0 2.5 2.6  ≤ x < 2.8 1 2.7

Year 7 Cumulative Frequency

Median = ½ x total cumulative frequency

= ½ x 50

= 25th piece of data

Median = 1.56m

Upper Quartile = ¾ x total cumulative frequency

= ¾ x 50

=37.5th piece of data

Upper Quartile Value = 1.72m

Lower Quartile = ¼ x total cumulative frequency

= ¼ x 50

= 12.5th piece of data

Lower Quartile Value = 1.32m

Inter-quartile range = Upper Value – Lower Value

= 1.72 – 1.32

= 0.40m

## Year 11 Cumulative Frequency

Median = ½ x total cumulative frequency

= ½ x 50

= 25th piece of data

Median = 1.52m

Upper Quartile = ¾ x total cumulative frequency

= ¾ x 50

=37.5th piece of data

Upper Quartile Value = 1.68m

Lower Quartile = ¼ x total cumulative frequency

= ¼ x 50

= 12.5th piece of data

Lower Quartile Value = 1.40m

Inter-quartile range = Upper Value – Lower Value

= 1.68 – 1.40

= 0.28m

Gender

Length (m)

Deviation

Deviation Squared

F

1.27

-0.2558

0.06543364

M

1.50

-0.0258

0.00066564

F

1.55

0.0242

0.00058564

M

2.60

1.0742

1.15390564

M

1.24

-0.2858

0.08168164

M

1.20

-0.3258

0.10614564

F

1.40

-0.1258

0.01582564

M

1.75

0.2242

0.05026564

F

1.45

-0.0758

0.00574564

M

1.35

-0.1758

0.03090564

M

1.56

0.0342

0.00116964

M

1.48

-0.0458

0.00209764

F

1.44

-0.0858

0.00736164

F

1.70

0.1742

0.03034564

M

1.30

-0.2258

0.05098564

M

1.63

0.1042

0.01085764

F

1.60

0.0742

0.00550564

M

1.50

-0.0258

0.00066564

F

1.60

0.0742

0.00550564

F

1.75

0.2242

0.05026564

M

1.77

0.2442

0.05963364

M

1.35

-0.1758

0.03090564

M

1.65

0.1242

0.01542564

M

1.42

-0.1058

0.01119364

F

1.60

0.0742

0.00550564

M

1.45

-0.0758

0.00574564

M

2.00

0.4742

0.22486564

F

1.58

0.0542

0.00293764

F

1.25

-0.2758

0.07606564

M

1.30

-0.2258

0.05098564

M

1.45

Middle

1.45

-0.0656

0.00430336

F

1.25

-0.2656

0.07054336

F

1.20

-0.3156

0.09960336

M

1.60

0.0844

0.00712336

M

1.95

0.4344

0.18870336

F

1.00

-0.5156

0.26584336

F

1.30

-0.2156

0.04648336

M

1.60

0.0844

0.00712336

F

1.70

0.1844

0.03400336

M

1.65

0.1344

0.01806336

M

1.61

0.0944

0.00891136

F

1.75

0.2344

0.05494336

F

1.60

0.0844

0.00712336

F

1.60

0.0844

0.00712336

M

1.80

0.2844

0.08088336

F

1.50

-0.0156

0.00024336

F

1.58

0.0644

0.00414736

F

1.75

0.2344

0.05494336

M

1.55

0.0344

0.00118336

M

1.82

0.3044

0.09265936

M

1.40

-0.1156

0.01336336

F

1.75

0.2344

0.05494336

F

1.34

-0.1756

0.03083536

F

1.60

0.0844

0.00712336

M

1.20

-0.3156

0.09960336

M

2.50

0.9844

0.96904336

F

1.40

-0.1156

0.01336336

M

1.73

0.2144

0.04596736

F

1.67

0.1544

0.02383936

M

1.24

-0.2756

0.07595536

M

1.30

-0.2156

0.04648336

F

1.09

-0.4256

0.18113536

F

1.50

-0.0156

0.00024336

F

1.05

-0.4656

0.21678336

Total =

75.78

4.77903200

Mean =

1.5156

Conclusion

After carrying out this investigation I have concluded that the year 11’s were more accurate in their estimates. This was because the mean is closer to the actual length and also because the standard deviation is smaller. This means that most people estimated close to the mean which links in with the fact that the inter-quartile range is only 0.28m. My estimate that 50% of year 11 would guess between 1.4 and 1.6m was a bit high as the actual percentage is 42%. I underestimated the year 7’s accuracy as I guessed that only 10% would estimate between 1.4 and 1.6m when in actual fact 24% of them did. The mean of both sets of data is very close with the year 7 mean being 1.52(to 1 d.p) and the year 11 mean being 1.53(to 1 d.p). This shows that both groups had similar guesses. However, the year 11 set of data had one person guessing a length of 0.75m and I think that this threw my data out, as it would have made the mean smaller. I have worked out the percentage errors for both years as shown below.

## Year 7

Percentage error =  (mean – actual length)    x 100%

Actual length

=  (1.5156 – 1.58)       x 100%

1.58

=  -4% (to 1 s.f)

## Year 11

Percentage error =  (mean – actual length)    x 100%

Actual length

=  (1.5258 – 1.58)       x 100%

1.58

 Statistic Year 7 Data Year 11 Data Mean 1.5156m 1.5258m Median 1.56m 1.52m Modal Group 1.6-1.8m 1.4-1.6m Range 1.50m 1.85m Inter-quartile range 0.40m 0.28m Upper Quartile 1.72m 1.68m Lower Quartile 1.32m 1.40m Standard Deviation 0.309 0.259 Variance 0.095481 0.067081 Percentage error -4% -3%

=  -3% (to 1 s.f)

The percentage errors show that both the year 11 and year 7 mean was lower than the actual length of 1.58m. As you can see the difference between the means of the two sets of data is not significant however, overall when considering all the figures the year 11 pupils had better estimates.

 Gender Weight (Kg) Deviation Deviation Squared F 0.375 -0.05556 0.0030869136 F 0.313 -0.11756 0.0138203536 M 1.500 1.06944 1.1437019136 M 0.300 -0.13056 0.0170459136 F 0.340 -0.09056 0.0082011136 F 0.150 -0.28056 0.0787139136 M 0.034 -0.39656 0.1572598336 M 0.765 0.33444 0.1118501136 M 0.667 0.23644 0.0559038736 M 0.274 -0.15656 0.0245110336 M 0.712 0.28144 0.0792084736 F 0.400 -0.03056 0.0009339136 M 0.600 0.16944 0.0287099136 M 0.300 -0.13056 0.0170459136 F 0.500 0.06944 0.0048219136 F 0.500 0.06944 0.0048219136 M 0.350 -0.08056 0.0064899136 M 1.130 0.69944 0.4892163136 F 0.571 0.14044 0.0197233936 F 0.598 0.16744 0.0280361536 M 0.432 0.00144 0.0000020736 M 0.372 -0.05856 0.0034292736 M 0.400 -0.03056 0.0009339136 M 0.360 -0.07056 0.0049787136 M 0.150 -0.28056 0.0787139136 F 0.210 -0.22056 0.0486467136 M 0.800 0.36944 0.1364859136 F 0.796 0.36544 0.1335463936 F 0.150 -0.28056 0.0787139136 M 0.350 -0.08056 0.0064899136 M 0.100 -0.33056 0.1092699136 F 0.020 -0.41056 0.1685595136 F 0.349 -0.08156 0.0066520336 F 0.500 0.06944 0.0048219136 F 0.250 -0.18056 0.0326019136 M 0.600 0.16944 0.0287099136 F 0.070 -0.36056 0.1300035136 M 0.100 -0.33056 0.1092699136 M 0.499 0.06844 0.0046840336 F 0.430 -0.00056 0.0000003136 F 0.570 0.13944 0.0194435136 M 0.380 -0.05056 0.0025563136 M 0.642 0.21144 0.0447068736 F 0.350 -0.08056 0.0064899136 M 0.600 0.16944 0.0287099136 M 0.380 -0.05056 0.0025563136 F 0.212 -0.21856 0.0477684736 F 0.225 -0.20556 0.0422549136 M 0.502 0.07144 0.0051036736 M 0.350 -0.08056 0.0064899136 Total = 21.528 3.5856963200 Mean = 0.43056

Year 11 Deviation

## Year 7 Deviation

 Gender Weight (Kg) Deviation Deviation Squared F 0.450 -0.08372 0.0070090384 M 0.777 0.24328 0.0591851584 F 0.200 -0.33372 0.1113690384 F 0.100 -0.43372 0.1881130384 F 0.465 -0.06872 0.0047224384 M 0.104 -0.42972 0.1846592784 F 0.707 0.17328 0.0300259584 M 0.200 -0.33372 0.1113690384 F 0.500 -0.03372 0.0011370384 F 0.856 0.32228 0.1038643984 F 0.460 -0.07372 0.0054346384 F 0.600 0.06628 0.0043930384 M 0.350 -0.18372 0.0337530384 F 0.612 0.07828 0.0061277584 F 0.800 0.26628 0.0709050384 F 0.900 0.36628 0.1341610384 M 0.750 0.21628 0.0467770384 F 0.500 -0.03372 0.0011370384 F 0.750 0.21628 0.0467770384 M 0.450 -0.08372 0.0070090384 M 0.475 -0.05872 0.0034480384 F 0.500 -0.03372 0.0011370384 F 0.400 -0.13372 0.0178810384 M 0.800 0.26628 0.0709050384 F 0.600 0.06628 0.0043930384 M 0.654 0.12028 0.0144672784 M 0.621 0.08728 0.0076177984 F 0.550 0.01628 0.0002650384 F 0.659 0.12528 0.0156950784 F 0.550 0.01628 0.0002650384 M 0.400 -0.13372 0.0178810384 F 0.325 -0.20872 0.0435640384 F 0.429 -0.10472 0.0109662784 F 0.400 -0.13372 0.0178810384 M 0.550 0.01628 0.0002650384 M 1.000 0.46628 0.2174170384 M 0.700 0.16628 0.0276490384 F 0.450 -0.08372 0.0070090384 F 0.480 -0.05372 0.0028858384 F 0.500 -0.03372 0.0011370384 M 0.350 -0.18372 0.0337530384 M 0.800 0.26628 0.0709050384 F 0.600 0.06628 0.0043930384 M 0.353 -0.18072 0.0326597184 F 0.652 0.11828 0.0139901584 M 0.167 -0.36672 0.1344835584 M 0.290 -0.24372 0.0593994384 F 0.500 -0.03372 0.0011370384 F 0.550 0.01628 0.0002650384 F 0.850 0.31628 0.1000330384 Total = 26.686 2.0916780800 Mean = 0.53372
...read more.

Conclusion

0

50

## Year 11

 Estimated Weight (Kg) Frequency Cumulative frequency 0.0 ≤ x < 0.1 3 3 0.1 ≤ x < 0.2 5 8 0.2 ≤ x < 0.3 5 13 0.3 ≤ x < 0.4 14 27 0.4 ≤ x < 0.5 5 32 0.5  ≤ x < 0.6 7 39 0.6  ≤ x < 0.7 5 44 0.7  ≤ x < 0.8 3 47 0.8  ≤ x < 0.9 1 48 0.9  ≤ x < 1.0 0 48 1.0  ≤ x < 1.1 0 48 1.1  ≤ x < 1.2 1 49 1.2  ≤ x < 1.3 0 49 1.3  ≤ x < 1.4 0 49 1.4  ≤ x < 1.5 0 49 1.5  ≤ x < 1.6 1 50

Year 7 Cumulative Frequency

Median = ½ x total cumulative frequency

= ½ x 50

= 25th piece of data

Median = 0.54Kg

Upper Quartile = ¾ x total cumulative frequency

= ¾ x 50

=37.5th piece of data

Upper Quartile Value = 0.69Kg

Lower Quartile = ¼ x total cumulative frequency

= ¼ x 50

= 12.5th piece of data

Lower Quartile Value = 0.43Kg

Inter-quartile range = Upper Value – Lower Value

= 0.69 – 0.43

= 0.26Kg

## Year 11 Cumulative Frequency

Median = ½ x total cumulative frequency

= ½ x 50

= 25th piece of data

Median = 0.38Kg

Upper Quartile = ¾ x total cumulative frequency

= ¾ x 50

=37.5th piece of data

Upper Quartile Value = 0.58Kg

Lower Quartile = ¼ x total cumulative frequency

= ¼ x 50

= 12.5th piece of data

Lower Quartile Value = 0.29Kg

Inter-quartile range = Upper Value – Lower Value

=0.58 – 0.29

= 0.29 Kg

Conclusion

 Statistic Year 7 Data Year 11 Data Mean 0.53372 0.43056 Median 0.54Kg 0.38Kg Modal Group 0.4-0.5Kg 0.3-0.4Kg Range 1.48Kg 0.9Kg Inter-quartile range 0.26Kg 0.29Kg Upper Quartile 0.69Kg 0.58Kg Lower Quartile 0.43Kg 0.29Kg Standard Deviation 0.205 0.268 Variance 0.42025 0.071824 Percentage Error 19% -4%

After carrying out this extension to the investigation I have concluded that the year 11’s were more accurate in their estimates. The mean of the year 11 data is much closer to the actual weight than the mean of the year 7 data. This is because the year 11 data has a percentage error of only –4% whereas the year 7 data has a percentage error of 19%. However the year 11’s had a higher standard deviation. This shows that the year 7 greatly overestimated the weight while the year 11 slightly underestimated. The two scatter graphs comparing length and weight have very different patterns. The graph for the year 11 data shows a slight positive correlation while the graph for the year 7 data shows no correlation. This makes the year 7 estimates seem more random whereas the year 11 estimates are more logical. However both graphs are quite scattered with the year 11 graph being slightly more clustered than the graph of the year 7 data. When considering all the data shown in the table below I have found that the year 11s had more accurate estimates.

...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

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

1. ## Maths Data Handling

Therefore, my first hypothesis is a fair statement to use when commenting on these results as it uses the factor of probability in its wording: 'In general, the taller a person is, the heavier that person is likely to be'.

2. ## During this coursework unit I will be using statistical knowledge to analyse my data ...

positive then more values are lower, if it's negative then more values are higher. The Interquartile range is the spread of the middle 50% of the data. If this spread is low down in the scale then it tells us that the values in the data are also low in number.

1. ## Maths: Data Handling Coursework

This is due to the outliers I had come across. However, I had decided to keep it as it is possible to find someone who were of these certain heights. The inter quartile ranges for the girls are going lower each time instead of higher.

2. ## Maths data investgation

between 20>Mth<30 and 80>Mth<90. The majoraty of students have a gcse maths (%) beween 50>Mth<60. Here is a bar chart for my Mixed sample of data for Attendence (%). I have analysed and found the modal class interval for attendence (%) is between 80>Att<90. 9 students have this maodal attendence.

1. ## I would like to know whether there is a link between ability in Maths ...

5 7 Female 3 3 7 Female 3 3 7 Female 4 4 7 Female 4 5 9 Male 5 5 9 Male 2 3 8 Female 4 4 8 Female 4 3 7 Male 3 3 8 Female 4 4 8 Male 5 5 7 Male 3 4 8

2. ## Comparing three newspapers using the percentage, cumulative frequency and box-plot

* I think the sun will have the most sports and will be aimed at men. * I think that The Daily Mail is aimed at woman and may have more advice, heath and clothing articles than news. * I think that in The Guardian there will have more adverts than the other two newspapers.

1. ## Guesstiamte - investigating whether men or women between the ages of 15-25 are better ...

The range is the largest number minus the smallest number. Average results Men - Lines Results in numerical order are: 2.5, 2.5, 4, 4, 4, 4, 4, 4.3, 4.5, 4.9, 5, 5, 5, 5, 7, 7, 12, 12 Mean is 96.7 � 18 = 5.34cm Median is 4.7cm Mode is

2. ## Mayfield data

Year Group Number of Boys Number of Girls Total 7 151 131 282 8 145 125 270 9 118 143 261 10 106 94 200 11 84 86 170 TOTAL 604 579 1183 I will use Stratified Sampling to investigate my First Hypothesis.

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