I know there is a thread related to this topic but I just want to know how does an MS in Pure Math or Applied Math look in a PhD Statistics application in top school (Ivy League, Stanford). I’m currently at the top 50-60 school in Math and I would like to know what a committee member of top PhD school look at me. Also, do you need to have research experience during master year since a lot of master program is intensively learning graduate courses in your first year. Thus, once you apply in the fall of second year in the Master program you might not have research experience or publication yet.

I also have research experience during my undergrad year, with a perfect GPA in math major. Not sure how the master will turn out but I just want to ask how would people view my PhD application if I apply (assuming I would do decent or pretty well during my first Master year)

# Tag Archives: statistics

# Is it easier to get high-ranking admittance from MA or lower-ranking PhD?

I would like to ask regarding about changing to a better graduate program.

I’m an international student and I’m about to graduate this semester. At first, I had no intention to enter graduate school. Thus, I did not prepare to study for standardized test and my application early. When the job application turned out quite badly. I decided to go to grad school. However, it was quite late for the top tier grad school. I have already got accepted to the master program in math at my current undergrad school (my school is about tier 2-3 in math, ranking around 60ish in the US). I also got accepted to a Stats PhD program in Texas (top 30-40 within the US). However, after meeting with my advisors and a couple of professors they recommend me to apply to the top tier school (such as Harvard, Duke, Stanford, Yale, etc). I currently want to join the top tier PhD stats program.

Thus, I would like to ask if I should spend a year at a PhD program in stats (just to find a reason to stay in the US), and then reapply to the top tier schools; or should I just finished a master in Math and apply from there.

I’m not sure how beneficial a master in Math would be for me if I am going to apply to PhD Stats in 2 years. Considering I would have to spend 2 years compared to just spend 1 year in the other school and reapply. I don’t want to spend a year at my current school since all the recommendation letters are from professors within the department and that would be quite hard to explain why I would want to quit after a year in grad school. Thus, I would like to enter another school and switch from there.

# Changing to a better PhD program?

I would like to ask regarding about changing to a better graduate program.

I’m an international student and I’m about to graduate this semester. At first, I had no intention to enter graduate school. Thus, I did not prepare to study for standardized test and my application early. When the job application turned out quite badly. I decided to go to grad school. However, it was quite late for the top tier grad school. I have already got accepted to the master program in math at my current undergrad school (my school is about tier 2-3 in math, ranking around 60ish in the US). I also got accepted to a Stats PhD program in Texas (top 30-40 within the US). However, after meeting with my advisors and a couple of professors they recommend me to apply to the top tier school (such as Harvard, Duke, Stanford, Yale, etc). I currently want to join the top tier PhD stats program. Thus, I would like to ask if I should spend a year at a PhD program in stats (just to find a reason to stay in the US), and then reapply to the top tier schools; or should I just finished a master in Math and apply from there. I’m not sure how beneficial a master in Math would be for me if I am going to apply to PhD Stats in 2 years. Considering I would have to spend 2 years compared to just spend 1 year in the other school and reapply. I don’t want to spend a year at my current school since all the recommendation letters are from professors within the department and that would be quite hard to explain why I would want to quit after a year in grad school. Thus, I would like to enter another school and switch from there.

# What is the best technique to represent similarily among different methods?

Lets say I have 3 different methods. I am trying to find the best technique to represent similarities (or differences) among these methods.

One way I thought of is to create a table and create my own correlation methodology (e.g., high, medium, and low). However, I am not sure if this is the best way to do it.

Here is the corresponding LaTeX code I created (just in case):

```
documentclass{article}
usepackage{booktabs}
begin{document}
begin{table}
centering
begin{tabular}{llll}
toprule
& Method 1 & Method 2 & Method 3 \
Method 1 & High & High & Low \
Method 2 & Medium & Low & Low \
Method 3 & Low & Low & Low \
bottomrule
end{tabular}
caption{Level of correlation among different methods}
end{table}
end{document}
```

# Binomial random variable [on hold]

Let X be a binomial random variable with parameters n and p, where n>0 and 0<=p<=1.if a=P(|X-np|>=(n)^(1/2)).which of the following statements holds true for all n and p? (1)0<=a<=1/4 ,(2)1/4

# Applied mathematics PhD topics of interest for pure mathematicians [on hold]

I am a mathematics student at undergraduate level at a top university interested in pursuing a PhD in mathematics. My interests so far have been in areas of pure mathematics such as algebra, topology and geometry.

However, it is unlikely that I would enter academia after the PhD, as I intend to enter industry (technology or finance).

I am currently considering what area to pursue a PhD in. Because of my career plans, areas relating to statistics and machine learning seem most appropriate. Whereas, because of my interests, I want to do something with heavy mathematical content, ideally involving interaction with objects/areas of pure mathematics such the ones mentioned above.

Question:

**Can you recommend any areas that may be appropriate for me?**

One area I am considering is Topological Data Analysis.

Thank you.

# A Good Mathematical Statistics Book [on hold]

I am looking on for a good book on mathematical statistics. I am looking for something that is well written and easy to understand. I am a little rusty on proofs and analysis. I have Casella and Berger’s book. It is good but I am looking for something else.

# Statistics, Graphs for Paper [on hold]

I have a science paper to write. Where would one go (computer site) to find good quality accessible research data, mostly statistics?

# Wide CI and low sample size [on hold]

The reviewer of my manuscript has commented that the CI(Confidence Interval) is too wide. By searching, I noticed it is due to the small sample size. The problem is my references are some websites but I need a paper or book as a reference. Do you know any?

# Statistics, or Data . . .? [on hold]

Where may I go to find good quality statistics?