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.
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.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 26PFA
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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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