This survey asked about how many times people travelled by a mode of transport to their holiday destination. According to the 20 participants, the most popular way was by car . This is illustrated best by the frequency histogram attached. The fewest people travelled by bus/coach. Looking at the combined histogram, most people who took a plane also drove, and I can make an assumption that these people caught a plane and then got a hire car.
I sent this survey out by email to as sample size of 20 people that I know personally. I knew that most of them would have travelled at least once in the last five years. So, a conclusion could be drawn that this sample would give a very different result if I were to send it to a random sample.
The fact that I know them personally, however would not, in my opinion ,make the data less valid, as they all completed the survey to the best of their knowledge and as the questions that I asked weren't sensitive, there was no reason for them to be bias. If I were to make any large decisions, for example government policy or infrastructure building decisions, then I would not use such as small sample size. I would increase the size and scope of the sample to take in a larger geographic area and also as I said before, I would make the sample random.
It is difficult to make future predictions from this set of data, because people's circumstances may change and so the number and type of holidays can be affected by a number of factors. For example if most of the travel was to see family, and that family member moves then it will affect where and when they travel.
I sent this survey out by email to as sample size of 20 people that I know personally. I knew that most of them would have travelled at least once in the last five years. So, a conclusion could be drawn that this sample would give a very different result if I were to send it to a random sample.
The fact that I know them personally, however would not, in my opinion ,make the data less valid, as they all completed the survey to the best of their knowledge and as the questions that I asked weren't sensitive, there was no reason for them to be bias. If I were to make any large decisions, for example government policy or infrastructure building decisions, then I would not use such as small sample size. I would increase the size and scope of the sample to take in a larger geographic area and also as I said before, I would make the sample random.
It is difficult to make future predictions from this set of data, because people's circumstances may change and so the number and type of holidays can be affected by a number of factors. For example if most of the travel was to see family, and that family member moves then it will affect where and when they travel.