Smoothie Data

You will be given a copy of this sheet which has

the data you entered last

week.

Smoothie Data

On the back are the

questions to remind you what they

were.

Section 1 - Buying Smoothies

1a - I am likely to be influenced by the range of flavours

1b - I am likely to be influenced by the price of the product

1c - I am likely to be influenced by the nutritional value of the product

1d - I am likely to be influenced by the type of packaging

Section 2 - Nutrition

2a - I would be more likely to buy a low calorie smoothie

2b - I would be more likely to buy a low fat smoothie

2c - I would be more likely to buy a high protein smoothie

2d - I would be more likely to buy a low sugar smoothie

Section 3 - Packaging

3a - I would be more likely to buy a smoothie if the packaging was an interesting shape

3b - I would be more likely to buy a smoothie if the packaging was bright and colourful

3c - I would be more likely to buy a smoothie if the packaging was environmentally friendly

3d - I would be more likely to buy a smoothie if the packaging was easy to use

Select one of the columns – such as Section 1 Column a

You need to produce a frequency table like the one below which was mentioned

at the end of last lesson

Mark (out of 10) Frequency0 to 5 4

6 3

7 8

8 3

9 2

10 4

The frequency

column should add

up to 24

Step 1: Draw a Bar ChartMark (out of 10) Frequency

0 to 5 4

6 3

7 8

8 3

9 2

10 4

Title

0123456789

0 to 5 6 7 8 9 10

Score

Fre

qu

ency

Step 2: Draw a Pie ChartMark (out of 10) Frequency Fraction Angle

0 to 5 4 4/24 4/24 x 360 = 60

6 3 3/24 3/24 x 360 = 45

7 8 8/24 8/24 x 360 = 120

8 3 3/24 3/24 x 360 = 45

9 2 2/24 2/24 x 360 = 30

10 4 4/24 4/24 x 360 = 60

24 360 degrees

Step 2: Draw a Pie Chart

Title0 to 5

6

7

8

9

10

Step 3 – Calculate the Mean, Mode, Median & Range

Using the list of 24 numbers, put them in order, starting with the smallest and

find:

Mean: Add up all the scores and divide by 24

Mode: Most Common Score

Median: Middle Score

Range: Largest score – Smallest score

Step 4

Repeat the process for

another column