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How many days at most do you bleed for implantation bleeding?
I know this really isn't answering your questions for a number but I think every woman is different. Some women don't bleed, some do, and some bleed a lot (though this is rare) If you want to really know what's going on, go to the doctors and get a hormone level test. This is the only way to know what's going on with your body. If the number doubles every two days then you're pregnant . If I drops a lot then it could be a miscarriage or after a period (they would tell you) Good luck. I know this stuff sucks
What is the difference between standard normal distribution table and the t distribution table?
standard normal is for a lot of data, a t distribution is more appropriate for smaller samples, extrapolating to a larger set.
Is it normal for a girl to have a double d bra size at 14?
It all depends on various factors. Firstly, would you say you are overweight? Or, do you eat a lot of dried fruit, and nuts? Lastly, are you hispanic, or black? If the answer is yes to those questions, then yes, it's normal.
If you have 5 football matches with 3 outcomes win lose or draw how many different combinations are there?
3 + 3 + 3 + 3 + 3 = 15 total possible outcomes. You can 'prove' this by laying out a table of possibles where a user might tick the result of each game..... Match....1....2....3....4....5 Win......._...._...._...._...._ Lose......_...._...._...._...._ Draw....._...._...._...._...._
What role does the Central Limit Theorem play in evaluation of the confidence level or hypothesis testing?
Without getting into the mathematical details, the Central Limit Theorem states that if you take a lot of samples from a certain probability distribution, the distribution of their sum (and therefore their mean) will be approximately normal, even if the original distribution was not normal. Furthermore, it gives you the standard deviation of the mean distribution: it's σn1/2. When testing a statistical hypothesis or calculating a confidence interval, we generally take the mean of a certain number of samples from a population, and assume that this mean is a value from a normal distribution. The Central Limit Theorem tells us that this assumption is approximately correct, for large samples, and tells us the standard deviation to use.
