The following molarities were calculated from replicate standardization of a solution: 0.5021, 0.5015, 0.5035, 0.5007, 0.504, 0.5025, and 0.5008 M. Assuming no determinate errors, what is the upper limit of the 95% confidence interval?
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The following molarities were calculated from replicate standardization of a solution: 0.5021, 0.5015, 0.5035, 0.5007, 0.504, 0.5025, and 0.5008 M. Assuming no determinate errors, what is the upper limit of the 95% confidence interval?
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- The percentage of an additive in gasoline was measured six times with the following results: 0.13; 0.12; 0.16; 0.17; 0.20 and 0.11%. What is the 99% confidence interval for the additive percentage?A method to determine an antibiotic was developed and validated in a pharmaceutical company. The method allows analysis of 100 mg tablets containing 7.5 mg of the antibiotic. According to the validation data, the confidence limits are 7.50 mg± 0.04mg. How many samples will need to be analyzed for an analyst to ensure that the content of the antibiotic in a macerated sample of that drug is 7.50 mg ± 0.03 mg with 95% reliability when analyzing 100 mg of the macerated sample?The following molarities were calculated from replicate standardization of a solution: 0.5022, 0.5022, 0.5021, 0.5008, upper limit of the 95% confidence interval?
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- 7) The homogeneity of the chloride level in a water sample from a lake was tested by an analyst. Below are the concentration in parts per million (ppm) of Cl: 27.32, 27.22, 27.21, 27.24, 27.20 i. Determine the mean and median. ii. Calculate the confidence limit at 90%. iii. Identify a possible outlier and use the Q-test to determine whether it can be retained or rejected at 90% confidence levelEight replicate measurements were made on a test solution producing the following results for the concentration of sodium ion (mg/L): 63.91, 65.92, 69.98, 64.24, 65.45, 65.82, 66.51, 65.11. The value 69.98 is an outlier suspect. A Q-test at 95% confidence level will lead to this conclusion with respect to the suspect value: O Should be thrown away Should not be thrown away There is not enough data to draw a conclusion None of the abovePropagate the error in the following expression:(0.5847(±0.0002)mole / 250.0(0.1)??) ×(1000 ml / 1 L)