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  • Level: GCSE
  • Subject: Maths
  • Word count: 6550

mayfield high school handling data coursework

Extracts from this document...

Introduction

GCSE HANDLING DATA COURSEW0RK

Faisal Iqbal 10rj

CANDIDATE NUMBER-4067

Mrs Panesar


Contents page


Introduction

In this statistical enquiry I will be investigating the relationship between heights and weights and also some more hypotheses, I will investigate this data using the Mayfield high school data this is data on students in all years in a fictitious school the data for the students contain there name, age,, height, weight, I.Q, however once I had got my data I had to delete the unnecessary columns because they were no use to me during this project.

For me to prove my hypotheses I first of all would need to select a sample size which I feel will help me prove my hypotheses, once I have collected my data I will then go on to process them into a range of tables, graphs and charts I will do this because it will help me to notice any patterns in my data and also help me establish whether my data is correct.

After the processing of my data I will then go on to analyse my data I will do this because it will help me find any clear patterns or relationships that will help me prove my hypothesis.

Once I have done all that I will then go on to my evaluation on this part of the investigation I will evaluate  on how I went on my project saying where I felt I done well in and also where I felt I could of done better in and finally I will say how I could make this project better if I was to do it again in the future.


GCSE HANDLING DATA COURSEW0RK

PLANNING

This is my planning section.

...read more.

Middle

7

Dever

Ben

Male

1.65

52

0.666017

7

Jervis

Peter

William

Male

1.53

40

0.640523

7

Lodge

Aaron

John

Male

1.65

41

0.400224

7

Cohen

Neil

Male

1.55

38

0.492343

7

Partridge

Andy

Male

1.74

70

0.622132

7

Titly

Stanley

Fletcher

Male

1.60

60

0.687264

7

Molloy

Andy

Male

1.49

67

0.692401

7

Spencer

Michael

Harry

Male

1.55

65

0.594154

7

Morrison

Anthony

John

Male

1.68

40

0.334887

7

Abbas

Masooma

Male

1.45

47

0.997227

7

Brann

Jamle

Lee

Male

1.73

53

0.420792

8

Kelly

Vicky

Bethany

Female

1.65

52

0.010525

8

Burney

Amna

Female

1.35

51

0.073285

8

Silver

Rachel

Female

1.68

59

0.676783

8

Healy

Emily

Elizabeth

Female

1.67

42

0.213489

8

Jackson

Nichola

Claire

Female

1.61

46

0.696172

8

Shunarik

Scena

Female

1.69

48

0.044943

8

Jason

Caren

Female

1.70

53

0.321168

8

Kudray

Rebecca

Female

1.54

52

0.260166

8

Sabah

Sophie

Female

1.58

58

0.317147

8

Blackburn

Suzanne

Female

1.60

46

0.343807

8

Dave

Davina

Female

1.55

52

0.591392

8

Brocklehurst

Kaylea

Ann

Female

1.60

51

0.360874

8

Berry

Alice

Ann

Female

1.45

49

0.548915

8

Kent

Shabnum

Female

1.56

74

0.736989

8

Lomas

Victoria

Kirie

Female

1.56

54

0.177367

8

Rooster

Hally

Gertrude

Female

1.52

52

0.119105

8

House

Laura

Anne

Female

1.72

65

0.012259

8

Abbott

Zahara

Female

1.57

53

0.91618

8

Bertwistle

Laura

Alison

Female

1.40

48

0.564833

8

Morgan

Alex

Leyla

Female

1.57

51

0.791028

8

Abejuro

Laura

Female

1.60

53

0.051643

8

Dickenson

Sarah

Female

1.64

44

0.477106

8

Aldridge

Kristina

Female

1.55

42

0.543432

8

Hilt

Sopia

Female

1.66

50

0.44328

8

Smith

Susan

Sandra

Female

1.68

52

0.92543

8

Stapeley

Jane

Female

1.72

57

0.969776

8

Morris

James

William

Male

1.65

55

0.45671

8

Burn

Adam

Male

1.60

56

0.316319

8

Bolard

Mike

Male

1.56

59

0.17256

8

Wilson

Christopher

Philip

Male

1.53

42

0.404818

8

Hall

Gary

Male

1.64

42

0.211655

8

Drago

William

John

Male

1.66

43

0.65152

8

Kid

Juge

Male

1.56

50

0.457457

8

Jarvel

Kenneth

Male

1.66

46

0.472878

8

Singh

Paul

Male

1.73

52

0.065435

8

Lall

Alex

Male

1.55

68

0.959775

8

Shaw

Ian

Keith

Male

1.72

46

0.99191

8

Asheq

Amir

Male

1.42

56

0.088159

8

Gore

Mike

John

Male

1.63

56

0.390104

8

Vector

Armin

Male

1.73

47

0.482369

8

Boats

Daniel

Male

1.52

35

0.818292

8

Shaw

Howard

Paul

Male

1.71

47

0.76817

8

Rigby

Peter

Daniel

Male

1.52

38

0.510897

8

Skinner

Danny

Male

1.59

41

0.130601

8

Murdock

Jim

Daniel

Male

1.43

48

0.369927

8

Seattle

Waieed

Male

1.57

50

0.333519

8

Bilal

Muhammed

Abbas

Male

1.20

38

0.462744

8

Boye

Jay

Male

1.52

60

0.743616

8

Peter

Zakir

Male

1.63

41

0.741546

8

Muppeteal

Nubaid

Male

1.72

51

0.003458

8

Wood

Andrew

Raphael

Male

1.60

38

0.990576

8

Cropper

Caio

Male

1.50

45

0.716938

8

Dawud

Azhar

Male

1.55

47

0.256639

8

Borage

Frank

Fred

Male

1.74

45

0.478583

8

Johnson

James

Peter

Male

1.65

51

0.29778

8

Marsh

Warren

Anthony

Male

1.72

57

0.239179

8

Pandle

James

Male

1.69

60

0.885314

9

James

Lucy

Renee

Female

1.71

40

0.223148

9

Holmes

Abby

Laura

Female

1.71

42

0.26844

9

Saleem

Adila

Female

1.64

70

0.130315

9

Atkins

Patience

Female

1.57

40

0.418289

9

Javi

Ursula

Maria

Female

1.65

45

0.918094

9

Peacock

Ruth

Stephanie

Female

1.53

57

0.699706

9

Aneillz

Christina

Female

1.53

65

0.774488

9

Johnson

Claire

Nichola

Female

1.6

46

0.801206

9

Grow

Louise

Leah

Female

1.6

48

0.094882

9

Al-Jiboun

Tarah

Female

1.8

60

0.684411

9

Chadaah

Nadia

Female

1.68

36

0.289725

9

Catwell

Laretta

Samantha

Female

1.58

55

0.674263

9

Williams

Ashley

Charlene

Female

1.65

48

0.657182

9

McNaughton

Bonnie

Coleen

Female

1.53

48

0.228834

9

Caby

Karen

Erin

Female

1.55

66

0.045891

9

Amjad

Samia

Female

1.55

36

0.049083

9

Ali

Hannah

Female

1.62

52

0.699078

9

Bowlker

Amna

Female

1.35

51

0.004369

9

Malcolm

Kathleen

Elizabeth

Female

1.7

52

0.940899

9

Williams

Rachael

Sarah

Female

1.56

50

0.575816

9

Guzman

Victoria

Louise

Female

1.75

65

0.421444

9

Byrne

Nicola

Margarette

Female

1.62

48

0.566924

9

Brians

Holly

Female

1.63

47

0.717438

9

McMahan

Victoria

Joan

Female

1.65

52

0.080827

9

Latimer

Hjade

Louise

Female

1.57

52

0.955559

9

Smith

...read more.

Conclusion

Evaluation

Despite me proving the majority of my hypotheses, I still feel that my results could be inaccurate, possible things that could have contributed towards my inaccuracies are;

  • A systematic error occurring because of me for example me selecting an extra student for my sample.
  • Me using the incorrect graph to prove my hypotheses for example I would need to make a scatter graph to compare 2 years heights and weights but I use a line graph.
  • Another thing that could of resulted in inaccuracies in my data could be my degree of accuracy I think this because my degree of accuracy could affect one value more than another e.g. to 3 significant figures would be more appropriate to a number in whole number e.g. weight but it would give 1 decimal place after the units.

In future if I were to do this investigation again I would make these changes to my methods and my techniques because it would make my enquiry more accurate and precise;

  • I would have a bigger sample size of 300 I would use this sample size because I feel that this size would give me more accurate results compared to my sample size of 250.
  • Another technique I would use if I was to do this again would be to pick my students with normal random sampling as opposed to a random generator i would do this because I personally would find it more easier.
  • I would also use histograms in my enquiry if I was to do it again I would use a histogram because it would give me a better visual representation of the patterns within my data.
  •  I would also think about my degree of accuracy in more depth whilst thinking about the possible numbers that could appear and what degree of accuracy they would need.

...read more.

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