In case I haven't explained that very well here's an example:
I have a bag containing black and white balls and I think that one quarter of the balls are black. I start drawing balls from the bag (and putting them back afterwards) and I keep drawing out white balls. If I were continue to pick only white balls how many times would this have to happen before I was 90% sure that less than ¼ balls were black?
Thanks
Probability is the chance something is going to happen. It has to be DO/PO DO= desired outcome PO= probable outcome. The probability can not be 1 because it has to be a percent chance of out of a fraction, which are both smaller than 1.
You multiply the probability by 100.
For a 90 percent confidence interval, the alpha (α) level is 0.10, which represents the total probability of making a Type I error. This means that there is a 10% chance that the true population parameter lies outside the interval. The confidence level of 90% indicates that if the same sampling procedure were repeated multiple times, approximately 90% of the constructed intervals would contain the true parameter.
decrease
80%
The probability is 0.48
There is a 95% probability that the true population proportion lies within the confidence interval.
Probability is the chance something is going to happen. It has to be DO/PO DO= desired outcome PO= probable outcome. The probability can not be 1 because it has to be a percent chance of out of a fraction, which are both smaller than 1.
The probability of 33.3 percent is 0.333.
probability of 75 percent = 3/4
You multiply the probability by 100.
Refer back to the first clause. The answer is 50 per cent!
.99
IF probability of rain is X percent then probability of no rain is 100- X percent. For example if prob of rain is 80% prob of no rain is 20%
The best way to interpret an adjusted odds ratio is to measure its exposure and outcome. For precision, typically a 95 percent confidence interval is used for interpretation.
decrease
Yes.