• 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

# I am going to investigate the height and weight of males and females from the whole of Mayfield School, which will show a pattern, this pattern being that as a pupils height increases so does their weight.

Extracts from this document...

Introduction

GCSE Mathematics: Handling Data Practice Project

## Introduction

I am going to investigate the height and weight of males and females from the whole of Mayfield School, which will show a pattern, this pattern being that as a pupils height increases so does their weight.

I have collected the height, weight and gender of pupils from secondary data that was provided from the Internet. I have been restricted to these resources due to the time restrictions. The data

Middle

25

1.9

40

1.03

45

26

1.8

48

1.66

54

27

1.45

40

1.53

52

28

1.56

35

1.65

49

29

1.65

64

1.61

47

30

1.57

49

1.55

66

I know this data is a fair sample because it was chosen by Random using the Rnd button on the calculator.

I will now make a more useful representation of the data for my first line of enquiry.

## Male

 Group (male) Tally Frequency 35 ≤ W < 40 III 3 40 ≤ W < 45 IIII 4 45 ≤ W < 50 IIIII 5 50 ≤ W < 55 IIIIII 6 55 ≤ W < 60 IIIII 5 60 ≤ W < 65 IIII 4 65 ≤ W < 70 I 1 70 ≤ W < 75 II 2
 Group Mid-value Frequency Total 1. 35 ≤ W < 40 37.5 3 112.5 2. 40 ≤ W < 45 42.5 4 170 3. 45 ≤ W < 50 47.5 5 237.5 4. 50 ≤ W < 55 52.5 6 315 5. 55 ≤ W < 60 57.5 5 287.5 6.60 ≤ W < 65 62.5 4 250 7. 65 ≤ W < 70 67.5 1 67.5 8. 70 ≤ W < 75 72.5 2 145 Total 30 1585

Conclusion

37.5

1

37.5

3. 40 ≤ W < 45

42.5

5

212.5

4. 45 ≤ W < 50

47.5

7

332.5

5. 50 ≤ W < 55

52.5

10

525

6. 55 ≤ W < 60

57.5

1

57.5

7. 60 ≤ W < 65

62.5

3

187.5

8. 65 ≤ W < 70

67.5

1

67.5

Total

30

1485

Average

49.5

112333334444444555555555567778

As you can see the modal value is group5 which is 50 ≤ W < 55 this also coincides with my average of 50 (rounded up)

 Group Cumulative Frequency 35 2 40 3 45 8 50 15 55 25 60 26 65 29 70 30

#### Range

##### Male                                                                              Female

Height                                                                           Height

1.90 m – 1.35 m = 55cm                              1.80m – 1.03 = 77cm

Weight                                                                          Weight

72Kg – 35Kg = 37Kg                                       66Kg – 30Kg = 36Kg

 Mean Median Mode Range Male 52.8Kg 50 ≤ W < 55 4 37Kg Female 49.5Kg 50 ≤ W < 55 5 36Kg

All four measures of average in the table above (mean, median, mode and Range) show that the difference in Weight between Male and Females is very small.

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. ## Height and Weight of Pupils

57 7 Hallington David Male 109 1.55 40 7 Jones Mark Male 100 1.51 59 7 Marks Jonathan Male 100 1.61 46 7 Wite Raphael Male 101 1.60 38 7 Rupert Andrew Male 98 1.52 37 7 Pearce Stuart Male 97 1.50 34 7 Anderson Lisa Female 104 1.52 40

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

I now hypothesise that separating boys and girls will produce stronger correlation between height and weight. (Please refer to the scatter graphs on page 10). The evidence supports my hypothesis that there will be stronger correlation between height and weight if boys and girls are considered separately.

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

4 4 9 Female 4 5 9 Female 4 4 9 Female 4 5 9 Female 4 4 9 Female 4 4 9 Female 4 4 9 Female 4 4 9 Female 4 5 9 Female 4 4 9 Female 4 4 9 Female 4 4 9 Female 4 3

2. ## we can see if there is any correlation between a person's height and weight ...

Stem and Leaf Diagram Firstly, this stem and leaf diagram will be comparing the heights of all the 60 students I have picked in randomly in my sample in years 7 -11. Year Seven Stem Leaf Frequency 12 0 13 0 1 14 2,2,5,5,5 5 15 1,2,4,8,9 5 16 0,1,4

1. ## Mayfield High. I am going to investigate the relationship between the height and weight ...

The graph looks like this: There are a few outliers visible in the graph. Therefore, to have more accurate results, these records must be replaced with data that makes more sense and follows the pattern. After making the adjustments, my graph now looks like this: This graph is a lot more sensible.

2. ## For my coursework I am going to be investigating how students from key stages ...

As both variables are 'continuous', I expect to achieve more accurate results. Hypothesis 1: "There is a positive correlation between height and weight" I think this because it is fact that the taller the person the heavier their weight. Plan of Action: To test my hypothesis I will be using secondary data.

1. ## Statistics Mayfield High

with the length of the whiskers - suggesting that neither gender is more intelligent than the other. Nevertheless, the girls have outliers (including a very low one) which leads to the conclusion that they are more intelligent in Year 10.

2. ## Testing 3 Hypotheses on Pupils Height and Weight.

Discrete data means that the value has been rounded to a whole number e.g. 7 or 9. Data Validation In data validation I have been making sure that all the data I have is correct. So I have been getting rid of all the outliers in the database.

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