MATH 115 ACTIVITY 1:
... for the mean concentration of mercury (per liter) about how many of the intervals will be wrong (will miss the real mean). Assume these are very careful researchers, and they make no mistakes, so incorrect results are the result of random chance, not of errors by the researchers. ...
... for the mean concentration of mercury (per liter) about how many of the intervals will be wrong (will miss the real mean). Assume these are very careful researchers, and they make no mistakes, so incorrect results are the result of random chance, not of errors by the researchers. ...
252onea - On-line Web Courses
... In a situation where the population distribution is not normal, it is often more appropriate to find the median than the mean. The process of finding a confidence interval for a median is based on one simple fact: the probability that a single number picked at random from a population is above (or b ...
... In a situation where the population distribution is not normal, it is often more appropriate to find the median than the mean. The process of finding a confidence interval for a median is based on one simple fact: the probability that a single number picked at random from a population is above (or b ...
Margin of Error and Confidence Intervals
... the estimate of a population parameter on an interval with a certain probability that the population parameter lies within that interval; the confidence interval for the population mean, µ, is: ...
... the estimate of a population parameter on an interval with a certain probability that the population parameter lies within that interval; the confidence interval for the population mean, µ, is: ...
Activity 5 - InterMath
... 2. Generate a Fibonacci-like sequence by using the same recursion formula but with initial values 1 and 3. Do the same thing with initial values 1 and 5 . Sometimes a recursion formula may also involve the counting variable n in a more direct way. For example suppose we start with initial value x1=1 ...
... 2. Generate a Fibonacci-like sequence by using the same recursion formula but with initial values 1 and 3. Do the same thing with initial values 1 and 5 . Sometimes a recursion formula may also involve the counting variable n in a more direct way. For example suppose we start with initial value x1=1 ...
German tank problem
In the statistical theory of estimation, the problem of estimating the maximum of a discrete uniform distribution from sampling without replacement is known in English as the German tank problem, due to its application in World War II to the estimation of the number of German tanks.The analyses illustrate the difference between frequentist inference and Bayesian inference.Estimating the population maximum based on a single sample yields divergent results, while the estimation based on multiple samples is an instructive practical estimation question whose answer is simple but not obvious.