Mon 1 Sep, 2014 01:46 pm - How could we improve using Bayes rules to compute probability backwards?
We might establish the chance to get a sample in case we picked the biased or fair coin (view)
Mon 1 Sep, 2014 11:15 am - Bayes is most used to know probability backwards.
Supose we are at the car races and there are 10 cars.
The chance to pick the winner is 1/10.
But, we know that driver 1 and driver 2 have some... (view)
Mon 1 Sep, 2014 11:10 am - How can I correlate two samples? How can we determine both came from the same place?
and, what does the correlation number mean to make a decision?
(view)
Thu 28 Aug, 2014 11:39 am - You can lose or win at +/- 3.5 sd range.
Beyound this threshold you suspect.
I'd like to find a mathematical way to detect it. (view)
Wed 27 Aug, 2014 06:04 pm - 1000 tosses, 1.5sd=24
2000 tosses, 1.5sd=33.5
3000 tosses 1.5sd=41.1
But, when we could be confident of the unfairness of this coin?
(view)
Wed 27 Aug, 2014 03:49 pm - Yes, 524 is +1.5sd for 1000.
At 2000 we have got 1048=+2.15sd ok.
It happens in 1 in 15 random 2000 samples.
In case we have another 524/1000 we have got 1572/3000, means +2.75 sd.
Can we... (view)
Mon 25 Aug, 2014 02:32 pm - I am trying to understand a situation.
Suppose you recieved a coin toss 3000-trial-sample.
Tails hit +3 standard deviations.
We start a new test, this time 1000 tosses. Tails hit... (view)
