Is the following statement about these measurements True or False? There is no significant error; the difference between true value and the mean is within one standard deviation of the mean
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
Ten repeated measurements for percent chloride in a standard known to have a chloride content of exactly 20.00% resulted in a mean ± SX = 20.20% ± 0.25%, where SX is the standard deviation.
You were asked to determine whether or not a significant error exists in the measurements at the 80% confidence level.
Is the following statement about these measurements True or False?
There is no significant error; the difference between true value and the mean is within one standard deviation of the mean
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