PSDA PROJECT 1
INTRODUCTION:
Mobile phones have been improving countless times from first invention until today. In the early years of development of mobile phones, the cost for regular consumers to obtain a mobile phone was extremely high. For example, the first mobile phone, Motorola DynaTAC 800x, launched in 1983 was sold at a price of around $4000. It was obvious that no average Joe can afford to buy a mobile phone at that time. When compared to the price of mobile phones these days, the difference is astounding.
Mobile phones provide easy and simple ways to communicate with families and friends at all times and it can be used in any place. It is very convenient to use mobile phones because of the small weight and size.
Video
The video already upload in my elearning :)
Conclusion
To conclude, we have recorded 60 students’ response as a sample of data with 31 male respondents and 29 female respondents. The majority of respondents are 1st year students with 44 respondents and followed by 11 respondents from 2nd year students and only 5 students from 4th year students.
The most preferred smartphone brand is Apple with 13 students (21.7%) while the least preferred smartphone brands are Google and Redmi with only 1 student each (1.7%)
The highest frequency of monthly income of students each month is RM500 and below with 36 students (60%) and the lowest frequency is range RM1500-RM2000 and RM2500-RM3000 with frequency of 3 students (5%) each range.
Last but not least, the relationship between students’ monthly income and monthly spending for data plans has weak negative relationship and non-linear. From this, we can know that when the students’ monthly income decrease, monthly spending for data plans by students is increasing.
Reflection
After this project, I learned how to code with R. It is quite hard but the result is mesmerizing because it is easy to sort and view our data into a graph or a diagram. In addition, I learned that we can gain much information based on our survey by interpreting the result such as the mean and standard deviation. Even though, our data is not a whole, means not everyone in UTM submit our survey, but from the sample of 60 people, we can get data as much as the whole population of UTM JB.
Thank you :).