The sampling constant, Ks, can be used to determine the sample mass needed to reduce the sampling variance for a single analysis to a desired level for an experiment. The equation that relates the sample mass and the sampling constant is mR² = Ks where m is the sample mass and R is the relative standard deviation. A certain analysis method was determined to have a sampling constant of Ks = 15 g. What mass of sample is required for a sampling standard deviation of ±3.0%? m = 1.67 How many samples of this size must be analyzed to have 90% confidence that the mean is known to within 2.0%? Enter your answer as a whole number. n= 6 Incorrect g samples

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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The sampling constant, Ks, can be used to determine the sample mass needed to reduce the sampling variance for a single
analysis to a desired level for an experiment. The equation that relates the sample mass and the sampling constant is
mR² = Ks
Macmillan
where m is the sample mass and R is the relative standard deviation.
A certain analysis method was determined to have a sampling constant of Ks = 15 g. What mass of sample is required for a
sampling standard deviation of ±3.0%?
m =
1.67
How many samples of this size must be analyzed to have 90% confidence that the mean is known to within 2.0%? Enter your
answer as a whole number.
n =
6
Incorrect
6.0
g
samples
Transcribed Image Text:The sampling constant, Ks, can be used to determine the sample mass needed to reduce the sampling variance for a single analysis to a desired level for an experiment. The equation that relates the sample mass and the sampling constant is mR² = Ks Macmillan where m is the sample mass and R is the relative standard deviation. A certain analysis method was determined to have a sampling constant of Ks = 15 g. What mass of sample is required for a sampling standard deviation of ±3.0%? m = 1.67 How many samples of this size must be analyzed to have 90% confidence that the mean is known to within 2.0%? Enter your answer as a whole number. n = 6 Incorrect 6.0 g samples
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