Is the data accurate (mean = 97% of true value or 2% error) or precise (sd < 0.1)? If not, give ONE possible source of error. A coffee owner wanted to determine how much caffeine was in each cup of coffee being served. A caffeine content analysis was performed on eight different 100.0 g samples of coffee, and the data is shown inthe table below. For reference, each 100.0 g of coffee served should have 40 mg of caffeine present.samplecaffeine content, mg134836.5340.5320.3125.7729.2332.5831.4630.96

Given information: The data represents the amount of caffeine present in each cup of coffee that is…

Answered: A coffee owner wanted to determine how…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Is the data accurate (mean = 97% of true value or 2% error) or precise (sd < 0.1)? If not, give ONE possible source of error.

A coffee owner wanted to determine how much caffeine was in each cup of coffee being served. A caffeine content analysis was performed on eight different 100.0 g samples of coffee, and the data is shown in
the table below. For reference, each 100.0 g of coffee served should have 40 mg of caffeine present.
sample
caffeine content, mg
1
3
4
8
36.53
40.53
20.31
25.77
29.23
32.58
31.46
30.96

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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