Analizing shopping survey and factors that could affect the answers of shopping survey

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Method

Below, it’s my table of methods:

The reason why I need this table (above) is because factors like day of the week, time of the day and weather conditions may affect my results that I’ve collected.

Factors which could affect my results:

Weather- if there is a bad weather while I’m carrying out the investigation, the number of people in the shopping area will decrease. However, if the weather is good (sunny, hot) there is more possibility of more people shopping in the certain area. For each day, if the weather is similar while I’m carrying out the investigation it will bring me out fair results.

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Time of the day- I tried to chose the appropriate time of the day when going to collect my data because I need to carry out the survey while the shopping area is busy. Also, if I can’t go to a constant time of visiting these shopping areas I will have time gaps in my data.

Holidays- my data was affected by holiday times. This is because people travelled shopping for holiday and the shopping area is more busy than usual as there is lots of people getting ready for holidays and coming to shop in specific shops.

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