Which of the statements below are TRUE regarding the mean and standard deviation? I As the number of measurements increases, x approaches u if there is no random error. II The square of the standard deviation is the average deviation. III The mean is the center of the Gaussian distribution. IV The standard deviation measures the width of the Gaussian distribution. O l and II Il and II O , Ill and IV O Il and IV

Which of the statements below are TRUE regarding the mean and standard deviation? I As the number of measurements increases, x approaches u if there is no random error. II The square of the standard deviation is the average deviation. III The mean is the center of the Gaussian distribution. IV The standard deviation measures the width of the Gaussian distribution. O l and II Il and II O , Ill and IV O Il and IV

Appl Of Ms Excel In Analytical Chemistry

2nd Edition

ISBN:9781285686691

Author:Crouch

Publisher:Crouch

Chapter2: Basic Statistical Analysis With Excel

Section: Chapter Questions

Problem 4P

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Which of the statements below are TRUE regarding the mean and standard deviation? I. As the number of measurements increases, x̄ approaches μ if there is no random error.II. The square of the standard deviation is the average deviation.III. The mean is the center of the Gaussian distribution.IV. The standard deviation measures the width of the Gaussian distribution.
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.
A student determines the concentration of an unknown sample using two different methods. Each method has three different trials; the average, standard deviation, and percent error produced by each method is listed below. Method 1 Average: 10.56 M NaOH Standard deviation: 1.35 M NaOH Percent error: 1.25% Method 2 Average: 10.92 M NaOH Standard deviation: 1.02 M NaOH Percent error: 3.45% Which method was more accurate? How can you tell?
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Normality of a solution was determined by five different titrations. The results were 9.5 mL, 8.5 mL, 9.1 mL, 9.3 mL, and 9.1 mL. Calculate the mean, median and standard deviation of this data
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Standard deviation 0.6318 mL, 0.1216 mL, 0.1056 mL, 0.0681 mL, 0.0056 mL Mean-0.18654 mL
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