An analysis of city drinking water for total hardness was done by two students in the laboratory and produced the following results (in ppm CaCO3): Student A: 228.3, 226.4, 226.9, 227.1, and 228.6. Student B: 229.5, 226.1, 230.7, 223.8, and 227.5 1] Calculate the following for each data set: a) mean b) median c) standard deviation d) coefficient of variation e) the 95% confidence interval for the mean

An analysis of city drinking water for total hardness was done by two students in the laboratory and produced the following results (in ppm CaCO3): Student A: 228.3, 226.4, 226.9, 227.1, and 228.6. Student B: 229.5, 226.1, 230.7, 223.8, and 227.5 1] Calculate the following for each data set: a) mean b) median c) standard deviation d) coefficient of variation e) the 95% confidence interval for the mean

Fundamentals Of Analytical Chemistry

9th Edition

ISBN:9781285640686

Author:Skoog

Publisher:Skoog

Chapter16: Applications Of Neutralization Titrations

Section: Chapter Questions

Problem 16.10QAP

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An analysis of city drinking water for total hardness was done by two students in the laboratory and produced the following results (in ppm CaCO3): Student A: 228.3, 226.4, 226.9, 227.1, and 228.6. Student B: 229.5, 226.1, 230.7, 223.8, and 227.5What is the 95% confidence interval for the mean?
A volumetric calcium analysis on samples of the blood serum of a patient believed to be suffering from a hyperparathyroid condition produced the following data: mmol Ca/L = 3.10, 3.08, 3.28, 3.15, 3.26, 3.12, 3.14, 3.18, 3.25, 3.11, 2.95. Calculate: Mean Standard deviation Coefficient of variation What is the 95% confidence interval for the mean of the data, assuming no prior information about the precision of the analysis? Apply the Q test to the following data sets to determine whether the outlying result should be retained or rejected at the 95% confidence level. ( work on the first measurements according to your case)
1. Replicate analyses of the lead content in a blood sample gave the following results: 0.789, 0.781, 0.795, 0.792, and 0.784 ppm Pb. Calculate the mean, standard deviation, variance, relative standard deviation, and standard deviation of the mean of the data.
A quantitative analysis for an analyte gives a mean concentration of 12.6 ppm. The standard deviation due to the method, sm, is found to be 1.1 ppm, and that due to sampling, ss, is 2.1 ppm. By how much does the overall variance change if sm is improved by 10% and ss is improved by 15%?
The following results were obtained in the replicate determination of the lead content of a blood sample: 0.752, 0.756, 0.752, 0.751, and 0.760 ppm Pb. Calculate the relative standard deviation and coefficient of variation of this set of data
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