Opening a Fruits’ Store Inside Iim K Campus
Autor: Varun Sethi • October 20, 2018 • Case Study • 855 Words (4 Pages) • 561 Views
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Table of Contents
S.no. | Topic | Page no. |
1 | Title of Project | 2 |
2 | Problem Statement | 2 |
3 | Objectives | 2 |
4 | Research Methodology | 3 |
5 | Source of Data | 3 |
6 | Data Collected | 5 |
7 | Data Presentation | 6 |
8 | Data Analysis and Interpretation | 8 |
9 | Summary and Conclusion | 9 |
Title of Project
Employing statistical tools to analyze the demand of fresh fruits and perform the feasibility study of opening a fruits’ store inside IIM K campus.
Problem Statement
Fruits are a vital part of a balanced diet. However, it has been observed that the consumption of fruits by IIM K students is almost negligible. The major reasons behind this are hectic schedule due to placement and academic activities, transportation and time constraints, availability of fresh fruits in close vicinity.
It has also been observed that students tend to miss meals at mess due to monotonous mess menu and to avoid being late to the morning class. Students have been found to miss breakfast and evening snacks more often than other meals which are the most important meals of the day and may lead to reduced nourishment and metabolism. Due to late night activities and studies, students consume junk food from night canteen which is not healthy if consumed daily and has resulted in abnormal weight gain or loss in many students.
Objectives
The objective of the project is:
- To determine the demand of a fresh fruits’ store inside the IIM K campus.
- To check the feasibility of establishment of a fresh fruits’ store inside campus.
- To verify the hypothesis that a fresh fruits’ store inside campus will run successfully based on quantitative and qualitative willingness of students inside campus.
- To estimate the quantity of inventory of fruits to be kept in stall if the hypothesis stands ‘not rejected’.
- To estimate average daily earnings of the fruits’ vendor.
Research Methodology
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Fig 1.
Source of Data
Primary data is collected directly from students using Google forms (fig.2.a, 2.b) over a period of 6 days.
No. of responses obtained were 104 which represents the sample size (n).
Sampling method used is Simple Random Sampling.
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Fig 2.a
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Fig 2.b
Data Collected
The collected data of the sample is compiled in the excel workbook Data.xls
Data Presentation
The below pie-chart in fig 3. Qualitatively demonstrates the high demand for a fruit store inside campus. This needs to be validated using quantitative analysis that whether the willingness to have a fruits’ store is compatible with the students’ ability to buy from an in-house fruits’ store.
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