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Eat Well Food Restaurants

Essay by   •  February 23, 2017  •  Coursework  •  1,653 Words (7 Pages)  •  1,007 Views

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Course: Quantitative Analysis and Systems

Paper Title: Coursework

Students ID:

Due date: 20/02/17


Contents

Introduction                                                                                3

Task 1                                                                                

Task 2                                                                                

Task 3                                                                                

Task 4                                                                                

Task 5                                                                                

Conclusion                                                                                

Appendix                                                                                

INTRODUCTION

The main idea of this report is the “eat well” fast food restaurant chain data from a random sample of 100 restaurants situated in various regions of Europe. The directors of the ‘eat well’ chain would like to obtain a general profile of the restaurants, so to carry out this assessment, a questionnaire was distributed to 100 randomly selected ‘eat well’ restaurants. Based on these questionnaires they will present some results using tables and graphs. Some managers failed to answer all the questions so they maybe will notice some changes in their results. Since they collected all the questionnaires they split them into categories, categorical variables and numerical variables.

They collected all the questionnaires and based on them, they worked with excel so it can help them to find the results that they needed.

 First of all, they collect all the results about states of the countries, the locations of the countries and the size of the restaurants. Below are the results of the questionnaires about countries (UK, Germany, Russia) and about the size of the restaurants (Small,Medium,Large) as they show (Figure 1).

Country

Size of restaurant

Small

Medium

Large

Total

UK

17

17

14

48

Germany

12

8

8

28

Russia

10

4

8

22

98

39

29

30

(Figure 1)


Βased on the above table, they produced appropriate charts to graphically display the distribution of the size of the restaurants in each country and then in all three countries. First, managers answered that the UK’s restaurants were 17 Small, Medium and 14 Large as shown in the following chart (Figure 2).

[pic 6]

(Figure 2)

Also, they answered that the Russia’s restaurants sizes were 10 Small,4 Medium and 8 Large as shown in the following chart (Figure 3).

[pic 7]

(Figure 3)

The answers about Germany’s restaurants sizes were 12 Small,8 Medium and 8 Large as shown in the following the chart (Figure 4).

[pic 8]

(Figure 4)

In the following chart (Figure 5) are all the countries (UK, Russia, Germany) and the size of their restaurants(Small, Medium, Large).

[pic 9]

(Figure 5)

Second, they selected the numerical variables and they used Descriptive Statistics such as median, mean, mode, standard deviation, max, min, range and variance. The results for all of them are following at the table (Figure 6).

Restaurant

Distance

Advertising

Employees

Type A

Type B

MEDIAN

50,5

1,5

1341

19

378708

179293

MEAN

50,5

5,7425

1848,14

19,91919

422254,5

178053,1

MODE

0

1

1131

22

0

0

STANDARD DIVIATION

29,01149

34,64976

2408,584

7,470591

143753,8

48860,04

MAX

345

15621

60

891141

331955

MIN

1

0,1

106

8

149723

75553

RANGE

99

344,9

15515

52

741418

256402

VARIANCE

841,6667

1200,606

5801276

55,80973

2,07E+10

2,39E+09

(Figure 6)

They did the same, thus they calculate all descriptive statistics without empty spaces. As, they mentioned above, some managers failed to answer all the questions, so there were some empties from some questions. They didn’t count the outliers because they didn’t exist. The results didn’t affect from the empty spaces. If they had compiled the empty spaces or not the results would be the same.

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