Reflection Project 2
Since the pandemic of Covid-19 is still going on, there is no final exam for Probability and Statistical Data Analysis course. So, my lecturer told us to do an individual project as a replacement for the final examination. The scope of this project is inferential statistics and every student must use secondary data that can be found from any websites or any organization. I had found a suitable dataset which is about birth weight with the help of my friends and lecturer. So, I decided to use this dataset for my project.
After I had completed and submitted my proposal of the project, I continued to study this dataset and done some research on birth weight while waited for the lecturer to comment on my proposal. I was so grateful that my lecturer accepted my proposal. Then, I immediately started to do the project so that I could finish it early. In this project, I used the R Studio to do the inferential statistics which are hypothesis testing one sample, correlation, regression and goodness-of-fit test. It was not as hard as I thought to use R Studio as I referred to the R slides provided by the lecturer in the e-learning. Whenever I did not understand to do the coding, I would ask my friend to help me.
I did the hypothesis testing using one sample to test on the mean of birth weight and the null hypothesis is failed to reject. As for the correlation test, I tested the relationship between a mother’s pre-pregnancy weight and birth weight. It can be seen that this relationship is positive hence linear correlation exists but the strength of the relationship is weak. In regression analysis, the dependent variable that I chose for this test was birth weight and the independent variable was gestation. I have found that a linear relationship does exist between these two variables and 50% of the variation in birth weight is explained by variation in gestation. As for the goodness-of-fit test, there are two different categories in the variable that I chose which are low and normal birth weight with unequal frequencies. I have found that the observed frequency and expected frequency are close, the chi-square value is small and the P-value is large. So, the null hypothesis is failed to reject hence it shows that this is a good fit with the assumed distribution.
By studying the birth weight dataset, I can conclude that the mother’s pre-pregnancy weight and gestation are some of the factors that will affect birth weight. Then, I continued to do the video to present this project and it took only one day for me to complete the video. I used a few software applications to edit the video. In the video, I included the introduction, all the test results and conclusion. After I produced the video, I uploaded it on Youtube. I really hope that people who watch my video will gain something good and understand what I explained in the video.
This project really taught me to be an independent person as it was an individual project. It was tiring but I am so relieved that there was no final examination because I am scared if my internet connection faces a problem while answering the online examination. I would like to thank my lecturer, family and friends who always support me in completing this project. There are many new things that I learned from this project. I hope it will help me in the future.