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Q: What is the value of the binomial coefficient for 500 choose 100?
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What is the relative dispersion with the mean of 45000 and a standard deviation of 9000?

Relative dispersion = coefficient of variation = (9000/45000)(100) = 20.

What does it mean when positive predictive value of diagnostic test is 100 percent?


What is the mean value of 100 plus 70 plus 70 plus 20?

The mean value of 100, 70, 70, and 20 is 65

What is the formula for percent error?

The formula of percent error ispercent error= Your value/accepted value x 100------------The definition of error is: difference between the accepted true value and the measured value of a quantity or parameter. But this is the absolute error.The relative (percent error) is:(measured value - accepted true value) . 100/accepted true valueThis value is exprssed as a percentage - %.

Is tossing a fair coin one hundred times and counting the number of heads an example of a binomial experiment?

Yes. You are measuring the number of 'successes', x, (in this case the number of heads) out of a number of 'trials', n, (in this case coin tosses) that has an assumed probability, p, (in this case 50% expressed as 0.5) of happening. This phenomenon follows a binomial distribution. Apply the binomial distribution to evaluate whether the the probability of x success from n trials with probability p of occurring is within a pre-determined 'acceptable' limit. Let's say you observe 54 heads in 100 tosses and you wonder if the coin really is fair. From the binomial distribution, the probability of getting *exactly* 54 heads from 100 tosses (assuming that the coin *is* fair & should have 0.5 chance of landing on either side) is 0.0580 or 5.8%. Note that this is not the same probability as 54 heads *in a row*. Most statisticians would agree that 5.8% is too large and conclude that the coin is fair.

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