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NZAMT NZQA NZ Grapher NZ Maths Census at School Study It

3.9 Bivariate HOME | Achievement Objectives | Overview | Data sets & Variable Types | Introduction | Scatter plots | Excel | iNZight | Correlation Coefficient & Linear Model | The effect of Groups & Unusual Values | Predictions | Causality | Non-Linear Models | Discussion & Conclusion | Report Writing

Writing an Introduction

3

Writing an Introduction

1) Description & Investigative Question Why have you chosen your variables? Include the word 'relationship' but NOT imply that a relationship exists. NO “what is the relationship between…”
YES “I wonder if there is a relationship between…”

2) Source of Data Where is the data from? How reliable is the source? Is it representative?

3) Aim / Interest Is the question of interest and value? Who may find it useful & why? Could the results be reasonably extended to the population?

4) Variables Defined & Described with units, and state which variable is considered explanatory and which is dependent (if applicable)

5) Hypothesis Do you think there will be an association and why? … ‘I think that… because

6) Research findings summarized Background context provided with evidence of research. What are the findings of other related research?

Research Question Ideas

(Relating to CORRELATION)
I wonder what the relationship between (variable 1) and (variable 2) is in (population)? Is this relationship different between (groups)?

OR

I wonder what the relationship between (variable 1) and (variable 2) is in (population)? How might this relationship compare between (variable 1) and (variable 3)?

OR

(Relating to REGRESSION)
Can (variable 1) be used as a good predictor for (variable 2)? Or would (variable 3) be a better predictor for (variable 2)?

 

The aim of your investigation should include the word 'relationship' but NOT imply that a relationship exists

   NO:   “what is the relationship between…”
   YES: “I wonder if there is a relationship between…”

 


Starter 1

Class notes, Class notes
Class site

Computer room instructions or pdf

McDonalds Example: Introduction


p49 Ex 'B' Purpose statements

Class Exemplar:
Hawai'i Island Chain: Data csv, Information page |
Google Doc write up

Class Exemplar:
American New Cars 1993
Data csv, Information pdf |
Google Doc write up


 

McDonalds Example: Introduction

Product

Serving size (g)

Energy (kJ)

Protein (g)

Fat, total (g)

Carbohydrate total (g)

Sodium (mg)

Hamburger

107

1070

14.2

9.4

28.7

503

Cheeseburger

121

1280

17.1

13.6

29.2

741

Filet-o-fishTM

143

1435

16.1

14.3

37.6

712

McChickenTM

191

2086

19.6

25

47.7

1060

Chicken McNuggetsTM

108

1164

20.1

12.2

21.8

605

Quarter PounderTM

219

2414

33.3

31.3

41

1257

Big MacTM

224

2196

28.6

27.7

37.5

962

Chicken Royale

282

2589

32.4

29.1

56.1

1240

French Fries (medium)

112

1417

4.7

16.3

47.5

314

Bacon & Egg McMuffinTM

148

1301

19.7

13.8

26.8

677

Sausage & Egg McMuffinTM

159

1608

25

19.5

27.3

715

Hash brown

67

578

1.8

7.4

17.2

295

Sundae Chocolate

173

1201

6.6

4.5

55.5

157

 

Research Question

I wonder if there is a relationship between the energy content (kj) of a McDonalds product and the fat content (g)? How might this compare to any relationship between the energy content (kj) of a McDonalds product and the carbohydrate content (g)?

Can the energy content (kj) of a McDonalds product be a good predictor of the fat content (g)? Or would the carbohydrate content (g) be a better predictor for the energy content (kj)?

 

McDs Variables

Explanatory Variables
- Fat content (g) and Carbohydrate content (g)
Dependant Variable
- Energy content (kj)

 

 

 

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