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# Choose a vacant local business site. Make recommendations on how it may be developed for business purposes

Extracts from this document...

Introduction

Middle

The questions will be as follows; "Which of the following locations do you most often purchase goods or services in?" - This question will allow the database of returned questionnaires to organise the questioned into categories based on which location their answers to the questions apply to. Using this method, public opinion about each of the 3 different locations (Deal, Walmer, and Canterbury) can be isolated and therefore used more effectively. Unfortunately, due to the nature of the places in which the questionnaires will be distributed, the answers to this question may not be fairly used as evidence to suggest which of the 3 locations are the most popular as shopping spots. "How often do you visit this location?" - This question is far more effective for the purpose of finding out how popular certain locations are for shopping. There will be 5 possible responses; "Less often than once a month", "Once a month", "Once a week", "Several times per week", and "Every day". These 5 options will all relate to a number of "points" from 1-5. By calculating the mean average number of points (total points divided by number of questionnaires answered per location), the popularity of each town by shoppers can be effectively measured. For instance, if 5 people shop mainly in Canterbury and each of them answer this question with a different response, (1+2+3+4+5)/5 = 3. Therefore, the average Canterbury shopper shops in Canterbury once a week. "How much money do you tend to spent on a visit to this location?" - This question also has 5 possible responses and can use exactly the same formula as the previous question in order to find out the average amount of money spent per visit by the average visitor to each location. This question can be used in conjunction with the previous question in order to find out how much income businesses in Canterbury can expect to take in. ...read more.

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