Inferential Statistics
Introduction to Project
Inferential statistics are involved with producing inferences based on relationships found in the sample, to relationships in the population. Inferential statistics help us decide, for instance, whether the distinctions in the middle of groups that we see in our data are powerful and strong enough to provide support or claim for our hypothesis that group differences exist in common, in the whole population.
Thus, a set of data regarding camera’s specifications was analyze and undergo several inferential tests. The tests includes hypothesis testing on sample(s), correlation, regression, chi square test and ANOVA. Throughout this project, a lot of outcomes are collected to be used for future references.
Video Presentation
Written Report
Reflection on Inferential Statistic Project 2
This Project 2 on Inferential Statistics exposed me a lot on many skills in analyzing, testing, interpreting, and concluding information about our own data in a specific Integrated Development Environment (IDE) which is R Studio. In R Studio, I managed to develop my skills in writing a code for intended inferential statistic test such as hypothesis testing on sample, correlation, regression, chi square test of independent for two way contingency table as well as analysis of variance (ANOVA). With this tool, there are so many functions that we can use for data analysis and interpretation.
Personally, I feel very thankful as this course give me the chance to develop such knowledge in the world of statistics. Even I have some difficulties upon completing this project due to Conditional Movement Control Order (CMCO) as we are needed to stay at home, I have such a responsive friends and course instructor to guide me along the project progress. Hats off to everyone of them. Plus, I am also very excited while doing the analysis on my camera description as I can understand what does all the number stated in camera's specifications mean. For instances, 20mm zoom wide is referring to how big can the camera zoom within the diameter of lenses at 20mm and so on. This is a very good knowledge for me.
Finally, I think that this course is well equipped its students to be prepared to solve the real life situation and problem. A lot of digital skills on applying analysis to an obtained data is taught throughout the semester. Hope that this course will continue to come out with a bunch of good people in data analysis.