Statistic Blog

 Yelp is an application that I always to use for researching good restaurant, and I am so interesting on being a part of Yelp. I hope my analytic skills can be organize the several works during the job. I am confident in my time management. As a graduate student, I can Fluency with SQL and Python or R for data analysis. Solid understanding of statistical inference, experimental design, and analysis. Enthusiasm for clean code and sharing reproducible results. Communication skills to work with partners on engineering, product, and business teams. The soft skills for me are important, it affect me when I am working in a lot of situation. it is the ability to collect and analyze information, problem-solve, and make decision for the company. I did a great job on researching, data reporting and communication. During my college time, I had a few of statistic class which has team project. In these projects, I had a good communication and always being a leader that led the whole group finis...

Of course, I can explain Maximum Likelihood Estimation and likelihood, let us start on figure out what is likelihood first. Likelihood is a very important and common word that you can see in statistical inference. It has similar meaning with “probability”, but in statistic, they were completely different. For example, let us say we had a model which made by a sample of data with values of the unknown parameters, the likelihood measures the how well it fits a set of observation of the model. Compare to the probability, probability is the value of part of area which under the distribution model. Likelihood is formed from the joint of the sample, it is the y- axis value with the distribution model. When you already know the difference between Likelihood and Probability, we can start to discuss the meaning of Maximum Likelihood Estimation. In simple terms, each parameter in distribution can make their own likelihood value, but the relation with distribution should be high. For getting the ...

 The article was filed under “Scientific Method”, this makes me wonder what Scientific Method is. This is a type of method that can be used in all sciences, usually the writer or the scientists were asking different questions for explain a hypothesis, then test different prediction, finally the result is the problem-solving approach which is logical and can be supported by evidence. The article published in 2015, I think this is the year that scientist starting to use the word of “scientific method”. In other words, in this year, they began to explore academic correctness of the scientific community. For the first figure of “Hack Your Way To Scientific Glory”, I can define different terms to see the p-value in different parties. I realized that when the p-value had less than 0.01, the result shows “Publishable”. I think this is a kind of prejudice, I need to give up some data to meet the qualification standard which is “publishable”. In this situation, the result is not real becaus...

 The writer Harvey using concise and clear vocabulary, with easy-to-read pictures, and a wealth of literature. Provide readers with a clear subject for thinking on the common bias in statistics. The whole article states 5 points, analyze this matter from different situations. On this basis, we learned from the article is that some of the knowledge points we learned in class do not represent all situations. On the contrary, we must think about some special situations, combine with the common sense and not jump to conclusions. Such as the determination of p-value and mean quantifies variability, and do not explain too much on unimportant points that waste space. This reminds me of the time when I just started doing my statistics reports in my previous class. I was doing a data analysis for a couple of samples, I did not make enough large sample size, I calculated the wrong p-value which made me misunderstand when estimating the answer. As said in the article, the sample size will aff...

  I have not much experience before about receiving the peer feedback from other people, I learned STA304 from last semester which used peerScholar to giving peer feedback to other students couple times. I think that when you come up with a full feedback, you should: First, briefly outline what you have read and what you think the other person has expressed, and praise the other person's strengths appropriately, such as some clever thinking. Pay attention to language logic. Secondly, when asking the other's problem, give a solution that you think is better. I don’t think that simply raising the mistake is a good idea. I think you can raise grammatical and logical questions. But you can't say that what the other person said is wrong. Different people have different opinions. We have no responsibility to deny others' opinions. I think giving peer feedback is a very good idea to comment and give opinions to each other, on the one hand to help each other to correct, on the ...