Quantitive information
This is information that is gather, focusing on the amount of people that will be surveyed to gather a conclusion with statistics as apposed to the quality of the information that is being recieved.
Quantitive information need a large area of informaion to make up for the low quality of the information, this type of information can be carried out by usig questionaires and surveys that will be asked to random members of the public on their opinion, likes or dislikes on particular parts of the music such as their favourate type of music, favourate genre of film etc. This can be carried out by simply brainstorming questions to ask people, and going out to a popular destination in a nearby town and asking random people to complete the questionaires. This method is very quick as it would only take a small amount of time answer each question meaning you can get through a lot of people and the more that are surveyed means that the results would be more reliable and would have a better understanding what the public like/dislike.
The information gathered from the surveys and questionnaires are very easy to put into charts and graphs to show the statistics. This is because on questionnaires, those surveyed would simply put a tick or cross next to the relevant answer to the person, this means that you can calculate the amount of people that liked one thing over another. Putting these into statistics or graphs means that it is easy to understand the results, however, statistics can be manipulated to make it seem like something is better than it actually is, this means that eventhough stats are easier to understand, they are unreliable. Quantative information is also cheaper because not a lot of people would be needed to survey, and it would not cost any money to for people to be asked unlike interviews. Quantitive information would be more efficient to use because of the accuracy and lack of needing to be spent, this would be mostly used by smaller companies.
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