• 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

# My hypothesis is to see if there is a difference between two ages estimating angle and length is different. I also think that people are better at estimating lengths than angles.

Extracts from this document...

Introduction

## My hypothesis’s

My hypothesis is to see if there is a difference between two ages estimating angle and length is different. I also think that people are better at estimating lengths than angles.

Also to see if males are better than females at estimating the length and angle.

And if playing sport helps at estimating lengths and angles.

I think that the older people are better at estimating angles and the length because they have more experience at doing so from further education and more experience.

I also think that the male sex will be better at estimating this better than the female sex because they play more sport and have to judge lengths and angles more of the time e.g. football, basketball, rugby.

I have done a pre test to make sure that my main experiment will work by cheeking the method and data collection sheet

For all three of my experiments the length of the line and the degrees of the angle will be the same the length will be 4.5 centimetres and the degrees of the angle will be 36 degrees

## Plan

#### I will collect data from year 7 and year 11 boys and girls

To make sure it will be a fair test by making sure the subjects have the same amount of time to estimate the length of the line and the degrees of the angle.

Middle

7

8

8

40

0

0

2

2

8

50

6

60

0

1

3

4

70

2

Female

##### Angle

Mean   1152 / 30 = 38.4

## Median 34 the median is close to the original angle of 36

Mode 30 this means that most females are closer to the originalangle

Range 57

##### The median is close to the actual angle
 Female Length 3 0 0 4 0 0 0 0 0 5 0 0 0 0 0 0 0 0 5 6 0 0 0 0 0 7 0 0 8 0 0 0 0 9 0 0 10 0
##### Length

Mean 175.4 / 30 = 5.846666667

Median 5 close to 4.5 cm

Mode 5

Range 70

###### Most females are closer than the males to 4.5 cm plus one female estimated the angle to be 4.5 which was correct

Cumulative frequency and Box and whisker graphs

 Angle Frequency Cum.Freq 10 to 19 2 2 20 to 29 4 6 30 to 39 13 19 40 to 49 5 24 50 to 59 1 25 60 to 69 4 29 70 to 79 1 30
 Length Frequency cum.freq 3 to 3.9 2 2 4 to 4.9 5 7 5 to 5.9 9 16 6 to 6.9 5 21 7 to 7.9 2 23 8 to 8.9 4 27 9 to 9.9 2 29 10 to 10.9 1 30

Male

Stem and leaf

 Male Angle 10 5 9 20 0 1 6 7 8 8 30 0 0 2 2 4 5 7 7 8 9 40 0 1 1 2 8 50 60 0 0 1 3 70 2 80 1

This stem and leaf counts to 29 this is a mistake but dose not affect my results

Angle

Mean 1167 / 30 = 38.9 (1167 / 29 = 40.24137931)

## Median 37

Mode 37 the male majority are closer than the females on angles

Range 66

###### The mode and the median are the same meaning that the 15th male was also in the median
 Male Length 2 0 3 0 0 4 0 0 0 0 0 0 0 5 0 0 0 0 0 5 6 0 0 7 0 8 0 0 0 0 0 4 9 0 0 10 0 11 12 0 13 14 15 16 0

Huge range no males got the angle right

##### Length

Mean 189.9 /30 = 6.33

Median 5 very close to the original angle of 4.5 cm

Mode 4     the median is also the same as the females median

Range 14

The range for the males is bigger than the females because there are a couple of males that estimated a lot higher than I would expected

Cumulative frequency and Box and whisker graphs

 Angle Frequency Cum.freq 10 to 19 2 2 20 to 29 6 8 30 to 39 10 18 40 to 49 5 23 50 to 59 0 23 60 to 69 4 27 70 to 79 1 28 80 to 89 1 29
 Length Frequency cum.freq 2 to 2.9 1 1 3 to 3.9 2 3 4 to 4.9 7 10 5 to 5.9 6 16 6 to 6.9 2 18 7 to 7.9 1 19 8 to 8.9 6 25 9 to 9.9 2 27 10 to 10.9 1 28 11 to 11.9 0 28 12 to 12.9 1 29 13 to 13.9 0 29 14 to 14.9 0 29 15 to 15.9 0 29 16 to 16.9 1 30

Conclusion

Males are better at estimating lent as the box and whisker graphs prove though the males have a very big range most of the males have been close to the 4.5 cm chosen

An experiment to see if playing sport helps at estimating lengths and angles

This is a test including only 10 people that play sport and 10 people that don’t

In this test sex is not important as it is only comparing non-players against players

The players and non-players have been chosen at random from a group of 60 people.

Here are the results:

 Angle Length Angle Length 20 8 Y 1 64 5 N 27 10 Y 2 38 7 N 32 5 Y 3 15 6 N 41 3 Y 4 61 10 N 50 8 Y 5 60 9 N 35 2 Y 6 30 8 N 40 5 Y 7 30 4 N 32 7 Y 8 35 4 N 26 6 Y 9 39 4 N 34 8.4 Y 10 30 5 N 337 62.4 402 62

I could improve my sample by having a wider range of subjects to chose from and also have a bigger sample.

Non-players

 Length 4 0 0 0 5 0 0 6 0 7 0 8 0 9 0 10 0

Mean 62 / 10 =6.2

Median 5

Mode 4

Range 6

###### You can see that the non-players have
 Angle 10 5 20 0 0 0 5 8 9 30 40 50 60 0 1 4

Mean 402 / 10 =40.2

Median 25

Mode 20

##### Range 49
###### Most of the non players have there angle marked between

Cumulative frequency and Box and whisker graph

 Length Frequency cum.freq 4 to 4.9 3 3 5 to 5.9 2 5 6 to 6.9 1 6 7 to 7.9 1 7 8 to 8.9 1 8 9 to 9.9 1 9 10 to 10.9 1 10
 Angle Frequency Cum.Freq 10 to 19 1 1 20 to 29 6 7 30 to 39 0 7 40 to 49 0 7 50 to 59 0 7 60 to 69 3 10

Conclusion

I think that the older people are better at estimating angles and the length because they have more experience at doing so from further education and more experience.

For this experiment I am using excel again as it it’s a time saving device and also Is a excellent calculator at fast speed if you know the formula to put in for this experiment and all of these experiments I have used the =SUM formula the most. Year 10s chosen underlined in red:

 Year 7 Year 10 Angle Length Angle Length 60 5 1 30 3.5 15 8 2 30 5 20 8 3 40 4.8 27 10 4 30 5 32 5 5 40 4.5 41 3 6 30 5 81 8 7 20 4 28 4 8 40 5 30 4 9 35 5 35 4 10 58 5 39 4 11 45 4.5 21 5 12 45 5 28 8 13 50 4 32 7 14 45 5 26 6 15 25 4 15 6 16 30 4 61 10 17 45 5 60 9 18 40 5 30 8 19 30 6 30 7 20 30 6 32 5 21 40 4.5 30 6 22 45 2.5 48 8 23 20 3 56 4 24 45 3 72 4 25 45 3 31 6 26 45 3.5 34 8 27 45 4 30 3 28 45 4 38 9 29 45 4 42 4 30 40 4 1124 186 TOTAL 1153 130.8

I could of hade made my sample bigger but that would had of taken more time and also a sample of 30 is easier to work with.

## Year 7

##### Angles
 Angle Year 7 10 5 5 20 0 1 6 7 8 8 30 0 0 0 0 0 1 2 2 2 4 5 8 9 40 1 2 8 50 6 60 0 0 1 70 2 80 1

Mean 1124 / 30 = 37.5

Median 32

Mode 30

Range 70

The year 7s are closer to the angle

Length

 Length 3 0 0 4 0 0 0 0 0 0 0 5 0 0 0 0 6 0 0 0 0 7 0 0 8 0 0 0 0 0 0 0 9 0 0 10 0 0

Mean 186 / 30 = 6.2

Median 6

Mode 4/8     there are two even modes for this graph as four and eight

Range 7        have the same amount on the graph so I put both of them down

Cumulative frequency and Box and whisker graphs

 Year 7 Angle Frequency cum.freq 10 to 19 2 2 20 to 29 6 8 30 to 39 13 21 40 to 49 3 24 50 to 59 1 25 60 to 69 3 28 70 to 79 1 29 80 to 89 1 30
 Length Frequency cum.freq 3 to 3.9 2 2 4 to 4.9 7 9 5 to 5.9 4 13 6 to 6.9 4 17 7 to 7.9 2 19 8 to 8.9 7 26 9 to 9.9 2 28 10 to 10.9 2 30

Year 10

Stem and leaf diagrams

##### Angles
 Angle Year 10 20 0 0 5 30 0 0 0 0 0 0 0 5 40 0 0 0 0 0 0 5 5 5 5 5 5 5 5 5 5 5 50 0 8

Mean 1153 / 30 =38.4

Median 40

Mode 45

###### Range 38

Length

 Length 2 5 3 0 0 0 5 5 4 0 0 0 0 0 0 0 0 5 5 5 8 5 0 0 0 0 0 0 0 0 0 0 6 0 0

## Median 4.5

Mode 5

Range 3.5

Cumulative frequency and Box and whisker graphs

 Year 10 Angle Frequency cum.freq 20 to 29 3 3 30 to 39 8 11 40 to 49 17 28 50 to 59 2 30
 Length Frequency cum.freq 2 to 2.9 1 1 3 to 3.9 5 6 4 to 4.9 12 18 5 to 5.9 10 28 6 to 6.9 2 30

Conclusion

This student written piece of work is one of many that can be found in our AS and A Level Probability & Statistics 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 AS and A Level Probability & Statistics essays

1. ## The heights of 16-18 year old young adults varies between males and females. My ...

5 star(s)

(0.995) = 2.5758 ?� n-1 ( n ) S� n-1 = 50 x 9.0864 = 9.272 49 � = � x ? n-1 V n � = 64.56 � 2.5758 x 9.272� V 50 � = 64.56 � 2.5758 x V 9.272 7.071 � = 64.56 � 2.5758 x 3.045 7.071 � = 64.56 � 2.5758 x 0.431

2. ## Statistics coursework

the mode and the mean I then have chosen to draw a stem and leaf diagram to compare boys and girls IQs in year 7. Even though the length of bars cannot be compared with these diagrams due to the differently sized stratas, obvious patterns can be seen.

1. ## Statistics - Men are more accurate than women at estimating the length of a ...

Size of Angle (A) (degrees) Tally Frequency 30 A 35 ll 2 35 A 40 lll 3 40 A 45 llll l 6 45 A 50 llll l 6 50 A 55 llll llll l 11 55 A 60 ll 2 Total 30 30 From looking at my results at

2. ## Mathematically Modelling Basketball Shots

Assumptions that I am making to allow the model to work are that the trials are: * Identical: The factors are exactly the same. This provides a fair test and is a property of the geometric distribution. * Independent: The trials are not affected by the previous trial.

1. ## I am going to design and then carry out an experiment to test people's ...

prove my hypothesis, but not give me so much data that all my graphs are cluttered. I have chosen to do a stratified sample. This is because I wish to have a range of pupils, and if I just did a random sample, I could end up with mostly older girls, or mostly younger.

2. ## Investigate the correlation between the field goals attempted (FGA) and field goals made (FGM) ...

990 450 Eric Snow ( Philadelphia 76ers) 634 288 Kobe Bryant ( Los Angeles Lakers) 1,520 689 Corliss Williamson ( Detroit Pistons) 638 289 Scottie Pippen ( Portland Trail Blazers) 582 262 Juwan Howard ( Denver Nuggets) 992 446 Gary Payton ( Milwaukee Bucks) 1,197 537 Desmond Mason ( Milwaukee Bucks)

1. ## Examining Data of 60 year 10 students and 60 year nine students plus 120 ...

51 (8th value) 51 (9th value) 55 (9th value) 52 55 52 56 53 58 55 59 55 60 57 60 61 61 61 (16th value) 62 (16th value) 61 (17th value) 65 (17th value) 62 66 63 66 65 66 66 67 66 67 67 68 68 (24th value) 71 (24th value)

2. ## Statistics Coursework

92.59 167 95.24 208 98 4 38.36 45 80.69 86 86.77 127 92.59 168 95.45 209 98.15 5 43.48 46 80.95 87 86.77 128 92.59 169 95.5 210 98.15 6 45.24 47 81.03 88 86.89 129 92.86 170 95.5 211 98.32 7 49.21 48 81.22 89 87.04 130 92.86 171

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