Bivariate Data

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Bivariate Data

Aim

The aim of this investigation is to find out whether, in general, more

fat means more calories in food. I am doing this to discover which

foods' calories are largely composed of fat, and which foods have many

calories, and yet have only a small amount of fat, if any at all.

The results I discover might be especially useful for people who are

dieting. Often people avoid foods with fats in them, and this sort of

investigation will help to show what foods are best for this diet. On

the other hand, the information could also be used for people who are

on low calorie diets, but that are not especially concerned with the

amount of fat they get in their food.

Data Collection

I decided to use a range of 50 foods. The information source for this

data was a book called 'Calorie Counter' which is a source with over

1200 foodstuffs' data recorded. To obtain the data, I took every 20th

result from the book, however, if I got two pieces of data that were

of the same food, the only differences being that they were made by

different companies or with a specific flavour, I took the next food

which I had not used before. If I had not done this, I would have got

many results which would have been remarkably similar.

I thought that the best thing to do in the case of repeated foods was

to take the next type of food because this would give me a wider range

of foods to study, while keeping the selection of the foods relatively

random. As the foods in the book were in alphabetical order, and in no

way ordered by means of numbers of calories or amounts of fat, I

assumed that the selection was entirely random with regards to fat

content and number of calories.

The other way in which I used foods which weren't every 20 was when

the foodstuff would have been cooked in a specific way to reduce fat,

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