There are two categories of objects, A and B.
From long term observation, experiment 1 is known to be 70% accurate i.e. it predicts type A or B correctly in 70% of cases.
Experiment 2 is totally independent. It uses different methods and different characteristics. It is also known to predict...
Thanks for your help. I suppose the answer is obvious when I think about it. The sample size is irrelevant. The probability of anyone 'hit' being a false positive is 1 in 1.5 million as stated :)
I have a sampling process of a very large population in which all items are of type A or type B. I have an analysis of the sampled objects which classifies type A and gives the wrong identification (a false positive) 1 in 1.5 million times.
I take a sample of 1 million and find 1 'hit' i.e...
Thanks for your reply, chiro.
To put the problem in some context, I have a file fragment (4K bytes) that may be either encrypted or compressed. If it is compressed then it will be lossless compression (jpg, mp3 etc. are specifically excluded).
Most files are compressed, as you say, using a...
Suppose that I have n bits of random data.
What is the probability that I can compress it by k bits?
A colleague assures me that the largest possible fraction of random inputs that would compress by e.g. 32 bits would be 2^(-32).
I am struggling to cope with this.
I can see that if I have n...