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Statistics in Business and Economic Data: A Renault Case Study, Assignments of Statistics

assignment for statistics management

Typology: Assignments

2020/2021

Uploaded on 02/08/2021

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Qualification
HND in Business (RQF)
Center Name Center Registration No
ABChorizon BTEC 91667
Student name Student Registration No
SAFAE EL ADLOUNI ME28287
Assessor name Unit No/Name
SAMER HAMDOU
Assignment number and title Credit Value
Issue date Submission date Submitted on
Student Declaration
Student signature: SAFAE Date:
Table of Contents
Page 1 of 7
Unit 31: Statistics for Management
15
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Qualification

HND in Business (RQF)

Center Name Center Registration No

ABChorizon BTEC 91667

Student name Student Registration No

SAFAE EL ADLOUNI ME

Assessor name Unit No/Name

SAMER HAMDOU

Assignment number and title Credit Value

Issue date Submission date Submitted on

Student Declaration

Student signature: SAFAE Date:

Table of Contents

Assignment Title: The Role of Statistics in Evaluating Business and Economic Data Case of study:

In order to open a new plant to expand foreign direct investment, the board of

directors in Renault Corporation require a feasibility report to justify the decision.

Based on the data and information that you provided to us in the Excel sheet I used

pivot table and frequency table to analyze each question and the results are below:

1. what is you preferred car?

The data analyzed by using by pivot table showed us the most individuals are 157

from 500 preferred Renault car

2- Your

preferred car’s price compared to other brands is: very

expensive, expensive, neither expensive nor cheap, cheap, or very cheap?

Count of

Individual

Column

Labels

Row Labels cheap

expensiv

e

neither cheap

nor expensive

very

cheap

very

expensive

Grand

Total

Fiat 7 4 79 90

Row Labels Count of Individual

Fiat 90

Ford 56

Land Rover 12

Mercedes- Benz 70

Peugeot 22

Renault 157

Toyota 34

Volkswagen 59

Grand Total 500

Mercedes- Benz Ford Peugeot^ Toyota Volkswagen^ Land Rover Fiat Renault 0 20 40 60 80 100 120 140 160 180 Preferred car

Ford 23 30 3 56

Land Rover 2 2 8 12

Mercedes- Benz 40 27 3 70

Peugeot 10 1 11 22

Renault 4 79 55 5 14 157

Toyota 5 3 24 1 1 34

Volkswagen 24 5 27 3 59

Grand Total 109 130 194 26 41 500

After analyzing the data using the pivot table, we found that 79 of individuals

preferred Renault as a low price compared to the brands quality.

reasonable price high price very high price low price very low price

Price Compared to the Brand Quality

4- What is your current disposable income?

Comparing preferred car to the disposable income:

In the questionnaire data we have the minimum of individual disposable income is

1800 and the maximum disposable income is 30000 so the range of the income is

30000-1800=28300/56=503 so I chose to dived the range to 500 groups.

We note that 156 of individuals who has the income between 1800-4799 chose

Renault as a preferred brand car and only one individual who has income between

5800-6299 chose Renault as a preferred car brand.

Count of Preferred Car's Brand Column Labels Row Labels Fiat Ford Land Rover Mercedes- Benz Peugeot Renault Toyota Volkswagen Grand Total 1800-2299 7 16 23 2300-2799 14 2 45 2 2 65 2800-3299 34 2 49 8 93 3300-3799 14 2 1 23 10 1 51 3800-4299 4 3 3 5 3 18 4300-4799 16 2 20 4 2 44 4800-5299 16 4 2 22 5300-5799 14 5 1 20 5800-6299 7 1 1 3 12 6300-6799 1 5 1 7 6800-7299 5 4 9 18 7300-7799 1 1 2 1 1 6 7800-8299 13 4 7 24 8300-8799 4 2 1 7 8800-9299 1 19 3 9 32 9300-9799 1 3 4 9800-10299 1 19 9 29 10800- 11299 2 1 3 11800- 12299 1 3 3 7 12300- 12799 1 1 2 12800- 13299 1 1 2 13800- 14299 1 1 2 14800- 15299 1 1 2 16800- 17299 1 1 1 3 17800- 18299 1 1

High School 191 38%

Bachelor 161 32%

Master 58 12%

HND 90 18%

High School Bachelor Master HND

Educational Qualification

By using Frequency table, we recognize that most participant in the questionnaire

has a high school diploma by 38% and 32% have bachelor degree.

Brief: from this data given by questionnaire and the analysis making in my point of

view I think that we have add more questions for example which car do you have? Or

do you think to buy a car in next years? If you would like to buy a car which car

would you choose? To understand the majority of people we have also to choose

more neighborhood to decide if we have to open another franchise or not in Istanbul

because the 3 neighborhoods given in the data of questionnaire are not enough to

make a certain decision.