Dr. Caras was characterizing a cytochrome (an iron containing protein) from a new strain of bacteria. He obtained eightmeasurements of the percent iron in the protein: 0.2409%, 0.2404%, 0.2394%, 0.2399%, 0.2515%, 0.2393%, 0.2409%, and0.2392%.Calculate the mean (x) and standard deviation (s) for these results.%S =Use the Grubbs test to determine if one of these values is an outlier. What is the value of Galculated?Gcalculated =Should this potential outlier be rejected with 95% confidence? Critical values of G can be found in this table.The potential outlier should be rejected.The potential outlier should be kept.

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Principles of Instrumental Analysis

7th Edition

ISBN:9781305577213

Author:Douglas A. Skoog, F. James Holler, Stanley R. Crouch

Publisher:Douglas A. Skoog, F. James Holler, Stanley R. Crouch

ChapterA1: Evaluation Of Analytical Data

Section: Chapter Questions

Problem A1.12QAP

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Molarity trail 1 0.0366 trail 2 0.0373 trail 3 0.0370 Calculate the standard deviation. Calculate the Relative Standard deviation of molarity to 3 sig figs.
To determine the organic material in a dried lake bed, the percent carbon by mass is measured at two different locations. To compare the means of the two different locations, it must first be determined whether the standard deviations of the two locations are different. Location 1 Standard deviation = 0.050 Location 2 standard deviation = 0.34 a) What is the calculated ? value for comparing the standard deviations? Fcalc = __________________
Give the standard deviation of these three molaritys. 0.0366 0.0373 0.0370
To determine the organic material in a dried lake bed, the percent carbon by mass is measured at two different locations. To compare the means of the two different locations, it must first be determined whether the standard deviations of the two locations are different. Location 1 standard deviation: 0.050 Location 2 standard deviation: 0.34 What is the calculated ? value for comparing the standard deviations?
A chemical industry discharges a waste contaminated with trichloroethylene (TCE) to the city sewer system. By law, the concentration of TCE must be 1 mg/L or less. To enforce this law, the Department of Environmental Conservation (DEC) conducts random testing. The chief environmental engineer for the chemical company knows that the mean TCE concentration in the waste is 0.064 mg/L, and the standard deviation is 0.022 mg/L. The TCE concentration can be assumed to be a normal random variable. What is the probability that the company will fail a random test by the DEC? [In other words, the probability that a random sample will have TCE > 0.1 mg/L.] Show your work and draw a labeled sketch to show what area of the normal distribution curve you used to solve the problem. What is the probability that the company will fail two consecutive random tests? The tests can be assumed to be independent of each other. Show your work. Determine the concentration of TCE that is exceeded only 10%…
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.
To determine the organic material in a dried lake bed, the percent carbon by mass is measured at two different locations. To compare the means of the two different locations, it must first be determined whether the standard deviations of the two locations are different. For each location, calculate the standard deviation and report it with two significant figures. What is the calculated F value for comparing the standard deviations? Are the standard deviations for the two locations significantly different at the 95% confidence level? ample Location 1 (% C) Location 2 (% C) 1 10.40 10.10 2 10.30 10.90 3 10.30 10.20 4 10.40 10.70 5 10.30 10.30
Estimate the absolute deviation and coefficient of variation. (The numbers in parentheses are absolute standard deviations)
Mean, standard deviation, Coefficient variable, and 95% confidence limits of NaOH molarity’s * 0.0808M * 0.0776M * 0.0745M
Calculate the mean and sample standard deviation for the following data: 90.0, 90.0, 85.0, 83.0, 80.0, 78.0, 77.0, 75.0, 70.0. Group of answer choices 79.8 ±± 5.83 79.8 ±± 6.23 80.9 ±± 6.75 80.9 ±± 6.37
Standard deviation 0.6318 mL, 0.1216 mL, 0.1056 mL, 0.0681 mL, 0.0056 mL Mean-0.18654 mL
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%?

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