Quantitative Method Puns

Thank you in advance and Happy New Year!

- My research topic is about the effect of prosocial video games on college/university students (but all are welcome regardless) psychology.

- This research is heavily focused on gaming and behavioral results of gaming

- The responses will solely be used for my research paper

- It will only take at most five minutes of your time

Link: https://plymouth.onlinesurveys.ac.uk/quantitative-methods

Hi all! Is anyone here a student or graduate of the Quantitative Methods in the Social Sciences program at the grad center? I'm interested in applying this spring for the fall term, but I want to hear a little about the program from people who went through it before I make a decision.

Right now I am working as a data analyst at a non-profit mostly doing program evaluation and support for program operations. I have a solid foundation in programming and SQL, but I have almost no theoretical statistics or math skills to back that up. My goal is to eventually get a higher level position as a data analyst for the NYC gov, and a lot of those positions seem to require a masters.

My questions for people who know: Do you feel like you got a strong education out of the quantitative methods program? Does it give you a strong theoretical base in stats and math? Are most of the courses taught using R, or do they use a different tool? Do you feel the program helped you secure a job?

Grateful for any info here! Feel free to respond or DM.

Can someone help explain why you discount by 4 years instead of by 5 year? I can't seem to wrap my mind around this simple idea since it explicitly states 5 years. Thank you.

Question: An investor wants to receive $10,000 annually for ten years with the first payment five years from today. If the investor can earn a 14% annual return, the amount that she will have to invest today is closest to:

Explanation: This problem involves determining the present value of an annuity followed by finding the present value of a lump sum. Enter PMT = 10,000, N = 10, and I = 14. Compute PV = 52,161.16. That is the present value of the 10-year annuity, four years from today. Next, we need to discount that back to present for four years to find the amount of the investment today. Enter FV = −52,161.16, N = 4, I = 14, PMT = 0. Compute PV = 30,883.59.

pls hmu for this final in an hour ya girl is struggling

Hey guys,

I was going through this reading and came across this example:

" Consider a similar situation in which cash flows of $6 per year begin at the end of the 4th year and continue at the end of each year thereafter, with the last cash flow at the end of the 10th year. From the perspective of the end of the third year, we are facing a typical seven-year ordinary annuity. We can find the present value of the annuity from the perspective of the end of the third year and then discount that present value back to the present. At an interest rate of 5 percent, the cash flows of $6 per year starting at the end of the fourth year will be worth $34.72 at the end of the third year (t = 3) and $29.99 today (t = 0). "

I understood how to get $34.72 since I entered N = 7 because by end of 10th year it literally means beginning of 11, which is how i drew it on the time line, however I cant understand how it got $29.99 for t = 0 because to get that it would have had to put N = 3 to get that answer however the remaining periods from end of 3rd year are N = 4.

Could somebody please help me understand this?

Thanks alot :)

Does anyone know how’s Nicolas for Quantitative Method? What’s the average of the course? I heard some people said this class is hard due to the R programming

Hi three professors to pick from this semester

Yanan Wu

Timothy Bray (only guy I found of the three on rate my professor and reviews are worrying)

Andres Ricardo Sanchez De La Rosa

Has anyone taken any of them? Any recommendations?

I registered for cfa level 1 exam recently for Feb 2022. And I started my syllabus with quantitative methods, TVM was very interesting, but after that I understand nothing, idk what to do or how to make those concept easy and understandable for me. It's been 5 days since I started my prepration

I saw some MM videos on this, I completely understand those videos, but when I read the curriculum I get confused very easily.

Any suggestions on what I can do ?

In terms of reputation, job opportunities, quality of work, salary, and outcomes, what program is better? Babson seems to be higher-ranked overall but 1. is waayyy to specialized in liberal arts/general bus mgmt whereas i want to specialize in a stem/cs area with business correlation and 2. i dont dig entrepreneurship (although i dont mind a class or two)

the math major at bentley, with applications to business, is a full-fledged STEM major and I plan to pair it w/ a data technology minor, a super science-focused combo that i simply can't get at babson, but im also worried that i'd be missing out on rep which babson is prob better at.

Hi all! It would be much appreciated if you could take a couple of minutes to help my group FINDING SATISFACTION by filling out the survey for our Quantitative Research Methods class with Dr. Tara. Please be 18 years or older and have some romantic relationship experience. Thank you in advance!
http://fullerton.qualtrics.com/jfe/form/SV_8Jr7juMjh5BrVYi
Also, at the end of the survey please select my group: FINDING SATISFACTION

I'm thinking about transferring to either USF or FSU for a finance degree, and so I was wanted to ask about the tutoring first:)

I spent much of my social science education focusing on qualitative and hermeneutic methods; my education honestly never emphasized or glossed over the quantitative stuff. However for obvious reason quantitative measures are important and at times heavily need to be considered alongside qualitative sensemaking.

All that said what are the main essential quantitative topics/methods all social science students should learn? How are these applied in practice (examples would be cool)? How should they go about learning?

Its a loaded question but I know we all need to think of it on some level. Thank you!

I'm a PhD student in a quantitative social science, have some spare time on my hands, and I'm wondering if UX folks would be interested in some no-knowledge-assumed, free, bite-sized tutorials on basic quantitative methods for UX Researchers.

Specifically, I'm thinking about making 5-minute mini-lectures about different concepts in survey design, psychological measurement, and experimental design, as well as 5-minute tutorials on data analysis in R, using excel as a visual example.

That said, I'm not actually sure what people would be interested in, so I'd love for people to share!

EDIT: Would also love to interview folks who feel like they are my target audience. I.e., UX researchers who don't currently know, but want to know, the ins and outs of quantitative methods. So please reach out to me if you have a spare ~20 minutes for a chat! I can compensate you by answering any quant question you have :)

EDIT 2: It also occurred to me that you all might be interested in talking about the ethics of tech and UX, and I happen to study public opinions about these issues. So, I guess that's a third class of content I could talk about.

13.3% completeThis is a Numeric Entry Question; skip ahead to question contentThis question requires a numeric answerConfidence Level:LowMediumHighConfirmSkip

You have developed a set of criteria for evaluating distressed credits. Companies that do not receive a passing score are classed as likely to go bankrupt within 12 months. You gathered the following information when validating the criteria:

• Forty percent of the companies to which the test is administered will go bankrupt within 12 months: P(nonsurvivor) = 0.40.
• Fifty-five percent of the companies to which the test is administered pass it: P(pass test) = 0.55.
• The probability that a company will pass the test given that it will subsequently survive 12 months, is 0.85: P(pass test | survivor) = 0.85.

1st question

A. What is P (pass test|nonsurvivor)?

B. Using Bayes’ formula, calculate the probability that a company is a survivor, given that it passes the test; What is P(survivor*| past test*)?

that is, calculate P(survivor|pass test).

C. What is the probability that a company is a nonsurvivor given that it fails the test?

D. Is this test effective?

My Questions : -

1. Why can't i calculate P(Pass Test|Non Survivor) using P(Pass Test) x P (Non Survivor) / P(Non Survivor) instead of the total probability rule?
2. If. P(survivor|past test) - im assuming survivor is the information and pass test is the event in this case. Hence using bayes formula, probability of new information for a given event, why is it that we can use P (pass test|survivor) as our numerator? Can't seem to wrap my head around this :( . Why is our numerator an opposite (pass test|survivor) instead of (survivor|pass test)?
3. How do you actually determine if a test is effective or not?

Your help is so so much appreciated!

Spent hours on this question but i cant seem to get it

So me being stupid didn’t realize you need a C or better for quantitative methods to count towards the requirement for the psych major and I got an email saying I have to retake it in order to graduate this fall. Has anyone had any experience where they waived it or any other better option? I have no room in my schedule to take it again as I have to complete other required courses in order to graduate after the fall. Help

Hi,

Does this course is good to start adventure with Quantitative Finance?

https://www.edx.org/course/mathematical-methods-for-quantitative-finance?utm_medium=affiliate_partner&utm_source=mitopenlearning-mit-open-learning

Thanks in advance.