My report is on the relationship between applications on a student’s phone and their average. I wanted to know if the number or type of applications a student has on his/her cell phone has an effect on their average. By doing this we may be able to determine what factors will cause the students to achieve more academic excellence. The most broad hypothesis is that, the more apps you have, the less your academic average will be. I personally don’t agree with that. I believe that there is a relationship between the ratios of the type of application a person has with the total application. In simpler terms, my hypothesis is that the average is determined by what kind of apps a person has. By doing this we can find out the misconception in the society about the apps that harm and apps that help.
I did research in two stages. 1) By the survey and 2) By data provided by other research.
The survey: the questions that were implemented in the survey were appropriately related with my hypothesis. The main questions were to seek the correlation between the variables. And the remaining questions were used to figure out if any outside factors had an influence on the data that I have collected. The survey was handed out to students on Facebook and almost everyone was or is currently a student at NACI. The survey was collected using a Voluntary Response. I posted a link on my profile which could be accessed by my friends, and their friends. This could present a bias; most of my friends are in grade 12 and University therefore students in grade 9, 10 and 11 have a lower chance of inputting their data. In this survey, students were not notified on the topic of the survey. This way they did not have any prior knowledge about the survey. This way the group was representing the population and not just the people who care about the topic.
Some biases that were present include, sample bias due to the lack of grade 9, 10 and 11 students. Non-response bias, people may not look at the survey due to lack of time. There is also a chance of a response bias, if people feel unsecure about using Google surveys and answer incorrectly. Some assumptions I made were that the data showed a clear representation of the population. The students understood the questions and answered them honestly. The questions were not biased to lead the respondents towards a certain answer. The courses that they picked had no impact on the overall average.
By other’s research: I have used Google’s information on the Smartphone. (Our Mobile planet). Google’s data was very specific; by using this data like the “Smartphone apps a student between the age of 18 and 25 has on average” was easily found. PISA provided me with data of countries educational rankings. The offered me with the post secondary education rankings and secondary rankings, distributes in English, Mathematics and Science. I have to assume that the data provided reliable information on the population. I...