Using the data given below, determine the relationship between Sstd and Cstd using an unweighted linear regression. Cstd (arbitrary units) Sstd(arbitrary units) KA= Sstd C std 0.000 0.00 0.100 12.36 123.6 0.200 24.83 124.2 0.300 35.91 119.7 0.400 48.79 122.0 0.500 60.42 122.8 Calculate the 95% confidence intervals for the slope and y-intercept.
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- Plot the following data and perform linear regression to obtain the value of the slope, the value of the y-intercept, and the correlation coefficient r. x- axis y-axis ln(0) 4.6052 0.0000 3.8712 0.6931 3.4012 1.0986 2.7081 1.3863 2.1972 1.6094 1.7918 1.7918 1.0986 1.9459 0.0000The ages of a group of 122 randomly selected adult females have a standard deviation of 18.5 years Assume that the ages of female statistics students have less variation than ages of females in the general population, so let o = 18 5 years for the sample size caloulation How many female statistics student ages must be obtained in order to estimate the mean age of all female statistics students? Assume that we want 95% confidence that the sample mean is within one-half year of the population mean. Does it seem reasonable to assume that the ages of female statistics students have less variation than ages of females in the general population? The required sample size is (Round up to the nearest whole number as needed)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…
- Please see the attached image. I am unfamiliar with the standard error of regression & I can't find it anywhere in my text.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.Evaluate the following expressions. Impose the rules for significant figures different ways for the same expression. Do you find any truncation errors? a) 99.0x(44.1-(-22.007)) b) 0.633/21.9+(3.40x0.09022)
- Calculate the standard error of regression (SER) for the Lineweaver–Burk slope and the Eadie–Hofstee slope to compare the precision of each. please answer this question Eadie–Hofstee SER: it is not 0.128, 0.028, 0.136, or 0.1362 or 0.013.Compute for the sum/difference/product/quotient, then let the final answer follow correct significant figures 1. 90.09 +23.4232 +0.23 = 2. 0.000392 0.000023897 = 3. 9.00*0.012= 4. 8594.32/23 = 5. 1.23 x 1023/ 90.239=Please just answer this question, I answered the others already Calculate the standard error of regression (SER) for the Lineweaver–Burk slope and the Eadie–Hofstee slope to compare the precision of each. Eadie–Hofstee SER: it is not 0.128, 0.028, 0.136, or 0.1362 or 0.013.
- 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. a. 85.10, 84.62, 84.70b. 85.10, 84.62, 84.65, 84.70O J. nm 1 O J. m-1 OJ-I.nm Evaluate Correct! 4) Other Linearization Choices 0/2 points When using x =1/A, the meaning of the slope is hc. There is more than one way to make this data linear, though. For example, instead of choosing x 1/A, you could also choose x = c/A. What would the slope mean in this case? Note that in reality, your choices of variables may be limited by the goals of your experiment, the data available, and the model to which you are fitting your data. Evaluate Incorrect: You're looking for an algebraic representation. If this question had asked the meaning of the slope when y = E and a = 1/A, you would have answered hc. 5) Planck's constant 16 point Other than aesthetics, why would it be useful to fit data with a straight line? Real data is noisy. Often with noisy data, the trend will be more accurate than using a single point. c auantired a crucial understanding in the dexelonment of guantum mechanics. The equation is5. The color change of a chemical indicator requires an overtitration of 0.03 mL. Calculate the percent relative error if the total volume of titrant is a. 50.00 mL b. 10.00 mL 6. From the Gaussian (normal) error curve, what is the probability that a result from a population lies between 0 and +1 σ of the mean? What is the probability of a result occurring that is between +1 σ and +2σ of the mean?