Suppose you are conducting an experiment to measure the concentration of a certain compound in a solution. The expected concentration is 3.0 mol/L, with a standard deviation of 0.1 mol/L. However, during your experiment, you suspect that some measurements may be erroneous. 2.98, 3.01, 2.95, 3.05, 3.0, 3.02, 3.06, 2.9, 3.15, 3.12, 3.18, 2.93, 3.99, 3.08, 3.22, 3.25, 3.15, 3.19, 3.1, 3.28, 2.85, 3.35, 3.04, 3.08, 3.12 1. Calculate the mean and standard deviation of the sample. 2. Use Chauvenet's Criterion to identify and reject any outliers from the dataset. Are any of the points eligible for rejection? If yes, - Calculate the new mean and standard deviation for the adjusted data. - Find % difference in the new/old mean and standard deviation.

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter13: Probability And Calculus
Section13.3: Special Probability Density Functions
Problem 28E
Question
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Suppose you are conducting an experiment to measure the concentration of a certain compound in a solution. The expected concentration
is 3.0 mol/L, with a standard deviation of 0.1 mol/L. However, during your experiment, you suspect that some measurements may be
erroneous.
2.98, 3.01, 2.95, 3.05, 3.0, 3.02, 3.06, 2.9, 3.15, 3.12, 3.18, 2.93, 3.99, 3.08, 3.22, 3.25, 3.15, 3.19, 3.1, 3.28, 2.85, 3.35, 3.04, 3.08, 3.12 1.
Calculate the mean and standard deviation of the sample. 2. Use Chauvenet's Criterion to identify and reject any outliers from the dataset.
Are any of the points eligible for rejection? If yes, - Calculate the new mean and standard deviation for the adjusted data. - Find %
difference in the new/old mean and standard deviation.
Transcribed Image Text:Suppose you are conducting an experiment to measure the concentration of a certain compound in a solution. The expected concentration is 3.0 mol/L, with a standard deviation of 0.1 mol/L. However, during your experiment, you suspect that some measurements may be erroneous. 2.98, 3.01, 2.95, 3.05, 3.0, 3.02, 3.06, 2.9, 3.15, 3.12, 3.18, 2.93, 3.99, 3.08, 3.22, 3.25, 3.15, 3.19, 3.1, 3.28, 2.85, 3.35, 3.04, 3.08, 3.12 1. Calculate the mean and standard deviation of the sample. 2. Use Chauvenet's Criterion to identify and reject any outliers from the dataset. Are any of the points eligible for rejection? If yes, - Calculate the new mean and standard deviation for the adjusted data. - Find % difference in the new/old mean and standard deviation.
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