A Go Survey for Statistics Class

hyperpape · **#21**

1) Male
2) 31
3) 4 kyu (AGA)
4) 10 years
5) No
6) No
7) 3
8) Slow

Uberdude · **#22**

I share sybob's concerns over the questions and what kind of hypothesis they seem to be testing (e.g. do people who do go problems tend to be stronger than those who don't?) and how well they will do it, but anyway as I'm not anonymous here are my answers both for the OP and general interest:

1) What is your gender? Male

2) What is your age? 30

3) What is your current Go rank? 4d EGF/KGS

4) How long have you been playing Go? 10 years

5) Have you taken breaks from playing Go? Not more than a month or so I guess

6) Do you do Go problems every week? No

7) On average, how many hours do you spend playing Go in a week? 4 hours +- 4 hours

8) Do you prefer fast or slow games? Slow if I want to play serious good games, fast to relax and for fun. If I have to pick one: slow.

Other bits that mean my answers could be misleading for your hypothesis testing:
- After 2 years I was 2d.
- In the past I have done go problems more frequently, and played more
- I spend time recently on Go activities other than playing, such as looking at recent pro games or chatting on this forum (and in the past on KGS).

Kirby · **#23**

Male
31
Depends on ranking system, but I'll say 2d
11
Yes; sometimes positive, sometimes negative
Yes
3
Slow

hyperpape · **#24**

DrStraw wrote:

I am a little skeptical when someone creates an account just to ask for personal data. I think some information about yourself and posting history is more appropriate.

Is this really that sensitive? Everyone on here already knows that Uberdude is Cleve Wathrope and you're one of the two Andrews who is always winning tournaments in Scotland (I never can remember which one, but I bet I could look it up if you gave me some time).

Uberdude · **#25**

Abyssinica wrote:

Uberdude wrote:

There is no magic number 30 or 35 that makes a good sample size. It depends on the population size, with what confidence you want the result, the type of question...

In what context were you taught/did you teach this magic number Abyssinica/DrStraw?

The centrral limit theorem for approxamate normality

Ah ok, so that is telling you roughly how big a sample you need for the distribution of some sample statistic (which is a continuous random variable like length of playing time, but not a binary yes/no) to be approximately normal even if the underlying distribution is not. But not much to do with how big a sample you need to answer a question like "What is the average strength of go players in the world, to 95% confidence?"; that will be be a lot larger than 35.

Abyssinica · **#26**

Tbh I don't even know what he's trying to answer :-?

Jhyn · **#27**

1) Male.
2) 27.
3) 1d EGF, 1k KGS.
4) 9 years.
5) What do you call a break? If 1-2 months, yes, if 1 year, no.
Long term or short term effect? Long story short, no idea.
6) Yes.
7) I read this as "playing" and exclude all other go-related things. So 7 hours.
8) (relatively) Slow.

Jujube · **#28**

1) What is your gender? Male (Choose one)

2) What is your age? 28 Years old

3) What is your current Go rank? 8 Kyu

4) How long have you been playing Go? 5.5 Years

5) Have you taken breaks from playing Go? Yes

If yes, how did it affect your Go games? Negatively (Choose one)

6) Do you do Go problems every week? Yes

7) On average, how many hours do you spend playing Go in a week? 6 Hours per week

8) Do you prefer fast or slow games? Slow (Choose one)

I also spend another 6 hours on problems, strategy, reading books, and so on. But you said specifically playing, so I answered thusly.

You didn't specify how long a break is. My break was for 4 years.

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