Amber and I chose the topic “music” because we both listen to music often. This is a big part of both of our lives and we thought that this was the best topic that we can both relate too. We believe that more females, rather than males, will listen to pop music. Since this is what we think, we will explore that more with the data from the survey.
Response bias:
Question order bias – People are influenced by previous questions or are bored by the end of it. For example people might just put a random amount of hours that they listen to music because they just want to get the survey done. The way to avoid this is by mixing up the questions.
Social desirability bias – People may feel as though they have to answer what is socially acceptable. Such as saying that you listen to music for 2 hours a day instead of 5 hours because its socially acceptable. The way to avoid this is by not writing leading questions where it is obvious what the interviewer wants you to say.
‘Yes-Man’ phenomenon – People may feel inclined to give the interviewer the answer they want to hear. For example choosing Spotify over YouTube because its more “popular”. The way to avoid this in a survey leaving the responses as anonymous so that people feel more inclined to share.
Sampling bias:
Selection bias – Selection bias is when there is only one group that has been surveyed. You cant determine what is the most popular music streaming application from just year nines at All Saints College.
Non-response bias – When people complete the survey, some are not very enthusiastic about it so they will just fill in random answers that do not make sense. You cannot base your survey answers on these people as it will be invalid. For example, in this survey, one of the questions was how many hours do you listen to music in a day and some people said 40 hours.
| Platforms | Total Frequency | Girls | Boys |
| Spotify | 105 | 56 | 49 |
| Apple Music | 12 | 8 | 4 |
| YouTube Music | 10 | 1 | 9 |
| Soundcloud | 3 | 1 | 2 |
| CD/Vinyl | 5 | – | 5 |
| Not Sure | 3 | – | 3 |
Number of Hours Total frequency Girls Boys
| 0 | 7 | 2 | 5 |
| 0.15 | 1 | 1 | – |
| 0.25 | 2 | 1 | 1 |
| 0.5 | 2 | – | 2 |
| 0.75 | 1 | – | 1 |
| 1 | 29 | 11 | 18 |
| 1.5 | 3 | 2 | 1 |
| 2 | 26 | 13 | 13 |
| 2.5 | 1 | – | 1 |
| 3 | 15 | 9 | 6 |
| 3.5 | 3 | 1 | 2 |
| 4 | 14 | 8 | 6 |
| 5 | 7 | 4 | 3 |
| 6 | 8 | 3 | 5 |
| 7 | 3 | 3 | – |
| 8 | 2 | 2 | – |
| 9 | 3 | 1 | 2 |
| 10 | 3 | 1 | 2 |
| 12 | 1 | 1 | – |
| 14 | 2 | – | 2 |
| 15 | 2 | 1 | 1 |
| 30 | 1 | 1 | – |
| 40 | 1 | 1 | – |
| 48 | 1 | – | 1 |
My Reflecction:
Categorical:
Our topic was music and we focused on the platforms people listen to different music on. Through out boys and girls Spotify was the most used application with 105 people in the year using it.
Numerical:
Our topic was music and we focused on number of hours people listen to music for our numerical data. The genders we focused on had very similar results on how much music they listened to. But there were outliers of people not putting appropriate answers due to misunderstanding the question or trying to be funny. Our outliers were 30, 40 and 48 hours a day which is obviously impossible.
Conclusion:
Based on our results we now believe Spotify is the most used platform of music through out the year 9s at ASC therefore meaning it is the best. And year 9s listen to a lot of music per day.
