Calculate the mean and 90% confidence interval for the data set. Report your answer with the correct number of significant figures. mean: ± Sample 1 2 3 4 5 6 Value 8.0720 8.0580 8.0710 8.0750 8.0600 8.0550
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- Systematic error causes the mean of a data set to differ from the accepted value. True False7. From the normal curve of error, find the probability that a result is outside the limits of ±2σ from the mean. What is the probability that a result has a more negative deviation from the mean than -2σ?Calculate the mean and 90% confidence interval for the data set. Sample Value 1 8.0626 8.0650 3 8.0583 4 8.0564 8.0571 6. 8.0600 mean: étv A A hulu 2. 5.
- Find the mean and median of each of the following sets of data. Determine the deviation from the mean for each data point within the seats and find the mean deviation for each set. Use a spreadsheet if it is convenient. (a) 0.0110 0.0104. 0.0105BSA (ug) Abs 595 nm 0.000 0.000 0.050 0.102 0.100 0.226 0.200 0.401 0.250 0.519 0.375 0.765 0.500 0.854 0.750 1.056 Using Excel and the method described in the Handout, create a plot of the given data and from the linear portion of the standard curve, determine the amount of an unknown sample with an Absorbance reading of 0.301. 0.121 με 0.149 μg 0.492 με 0.609 με1. Certified Reference Material (CRM), GSS-5, is certified to contain 40.67 ± 3.33 mg/kg of Ni in soil. An analysis of the CRM gives values of 40.39, 41.98, 43.64, 44.38, and 45.96 mg/kg. Determine the tcalc. value and determine if your results differ from the expected results at the 90 % confidence level?
- The following linear plot is derived from a function of the form y = ae", where a and b are constants. 4.5 4 3.5 3 2.5 2 1.5 1 0.5 0 0.1 0.2 0.3 0.4 0.5 0.6 For the functiony = ae" from which the data points on the graph were derived, the numerical value of the constants are a = and b = A ujYou are checking the accuracy of a volumetric flask marked 10.00 mL . To calculate the volume of water contained in the flask, you first measure the mass of the empty flask and the mass of the flask filled with water and take the difference. Then, you correct for the buoyancy factor and divide by the density of the water. The result of 8 such measurements is given in the table. Calculate the 95% confidence interval for these measurements with a mean of 10.03.2. Estimate the absolute deviation and the coefficient of variation for the results of the following calculations. Round each result so that it contains only significant digits. The numbers in parentheses are absolute standard deviations. 2 (1.203 (+0.004) x 103 + 18.25 (10.005) x 102 – 34.012(±0.001)) 3.9201 (+0.0006) x 10-3 y =
- In the technique of high performance liquid chromatography (HPLC) the peak area response for a particular analyte is directly proportional to concentration Analgesic tablets typically consist of aspirin and caffeine as the active ingredients, the remainder made up of inert binding material. The concentrations of aspirin and caffeine may be routinely monitored using HPLC, whereby the peak areas obtained from a solution of the tablet are compared with those obtained from standard solutions of the analytes. In an analysis to determine the concentration of caffeine in such a tablet, the following data were recorded: Solutions Analysed: Tablet Sample: Mass of tablet (dissolved in 250 cm methano): 0.523 g Caffeine Standard: Mass of caffeine (diessolved in 500 cm methanol) 0.105 g HPLC results: Solution Peak Area (catfeine) 1. Tablet Sample 325 2. Caffeine Std. 865 The concentration of caffeine in the tablet (expressed as a mass (w/wl percentage) was Oa 1.89 Ob 13.4 O 3.77 Od. 267 Oe 7.54 You…Given the following data, calculate the 95% confidence interval. 0.452 0.453 0.448 0.456 0.458 Average = 0.4534 St. Dev. = 0.003847 1) 0.453 ± 0.004 2) 0.453 ± 0.005 3) 0.4534 ± 0.0048 4) 0.4534 ± 0.0037 5) 0.4534 ± 0.0038For the numbers 116.0, 97.9, 114.2, 106.8 and 108.3, find the rangeb and 90% confidence interval for the mean.