6_CaRedoxReport_Ella Keheley

Q3) An experiment was carried out to investigate variation of solubility of chemical X in water. The quantities in kg that dissolved in 1 liter at various temperatures are show in the table (1). Table (1) Temperature C Mass of X 2.1 2.6 2.9 3.3 15 20 25 30 35 4 50 5.1 70 7 Use the proper methods to answer the following questions: a) Draw a scatter diagram to show the data. b) Estimate the temperature based on the mass of X. c) What quantity might be expected to dissolve at 42 C? Find the quantity that your cquation indicates would dissolve at 10 C and comment on your answer.

7. 0.5 L = mL 23. 150 µg = %3D mg 8. 3.5 gm = mg 24. 16 fluid ounces = mL 9. 1.5 L = mL 25. 250 mL =

(Please solve all part and do not give solution in image format thanku)

Only part e please

Fifty male subjects drank a measured amount x (in ounces) of a medication and the concentration y (in percent) in their blood of the active ingredient was measured 30 minutes later. The sample data are summarized by the following information: n = 50 Ex = 112.5 Ex? = 356.25 %3D Ey = 4.83 Ey = 0.667 Exy = 15.255 0 < x < 4.5 Or= 0.875 Or= 0.709 Or= -0.846 Or=0.460 Or= 0.965

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A proposed new method for the determination of sulfate in an industrial waste effluent is compared with an existing method, giving the following results below. Is there a significant difference between the precisions of the two methods? Show your solution. No. of degrees of freedom No. of Method Mean s (mg/dm?) replicates Existing 72 8 7 3.38 New 72 7 1.50 1 Add file

Exhibit 9-5 n = 16 HO: u z 80 x = 75.607 Ha: µ < 80 o = 8.246 Assume the population is normally distributed. 4. Refer to Exhibit 9-5. The p-value is equal to .0332 .9834 -.0166 .0166

An analyst wants to know whether there is any significant difference in the measurement results produced by alternative method compared a reference method in determination of the concentration of vitamin C in vegetables. He analysed eight different test materials using the both methods and the results are shown below: Test if the alternative method provides compatible measurement results at significant level of 0.05. Given that ?? = 2.365. (? = 0.296)

An EWMA chart is used to monitor a temperature in a pharmaceutical process. An automated measurement is obtained selected every minute and added to the EWMA chart. Experience indicates that s = 0.5 °F. The process target (process mean when in control) is 72 °F. The EWMA uses a lamda value 2=0.35. If the accumulated value of the EWMA at the end of measurement 47 is Z47 = 72.165 and measurement 48 is equal to X4g = 72.466, what will be the accumulated value of the EWMA at the end of measurement 48, that is Z48 = ? 72.225 72.240 72.285 72.270 not enough information 72.255

Show the ouput from Excel. Use Excel .

1. As heat is added to a material its temperature rises. The heat capacity is a quantitative statement of the increase in temperature for a specified addition of heat. These data are obtained in X, the measured heat capacity of liquid ethylene glycol at constant pressure and 80° C. Measurements are in calories per gram degree Celsius: .645 .654 .640 .627 .626 .649 .629 .631 .643 .633 .646 .630 .634 .631 .651 .659 .638 .645 .655 .624 .658 .658 .658 .647 .665 Assume that X is normally distributed. Find a 95% confidence interval for µ.

The National Institute of Standards and Technology (NIST) offers a wide variety of “standard reference materials” (SRMs) with accurately specified analyte concentrations. SRM 1951c is intended in part for “evaluating the accuracy of clinical procedures for the determination of total cholesterol . . . in human serum.” The certified total cholesterol is 6.244 ± 0.072 mmol/L. For the sake of this question, let’s treat 6.244 mmol/L as its “true” value (μ). We will use this standard to test a method with an intrinsic variability (for an experienced analyst) of σ = 0.131 mmol/L. 1. For what value of z does exactly 95% of the area under a Gaussian curve lie between ± z? Use this multiplier to find the range of measured cholesterol concentrations that would include 95% of the trials from the “parent population” (μ and σ) given above. 2. Calculate z for a trial in which the measured total cholesterol concentration is 6.302 mmol/L.  3. What is the probability that a trial will give a cholesterol…

The National Institute of Standards and Technology (NIST) offers a wide variety of “standard reference materials” (SRMs) with accurately specified analyte concentrations. SRM 1951c is intended in part for “evaluating the accuracy of clinical procedures for the determination of total cholesterol . . . in human serum.” The certified total cholesterol is 6.244 ± 0.072 mmol/L. For the sake of this question, let’s treat 6.244 mmol/L as its “true” value (μ). We will use this standard to test a method with an intrinsic variability (for an experienced analyst) of σ = 0.131 mmol/L. **Please show written work! It is difficult to understand "text" work/answers with mathematical/statistical problems** 1. For what value of z does exactly 95% of the area under a Gaussian curve lie between ± z? Use this multiplier to find the range of measured cholesterol concentrations that would include 95% of the trials from the “parent population” (μ and σ) given above. 2. Calculate z for a trial in which the…

The National Institute of Standards and Technology (NIST) offers a wide variety of “standard reference materials” (SRMs) with accurately specified analyte concentrations. SRM 1951c is intended in part for “evaluating the accuracy of clinical procedures for the determination of total cholesterol . . . in human serum.” The certified total cholesterol is 6.244 ± 0.072 mmol/L. For the sake of this question, let’s treat 6.244 mmol/L as its “true” value (μ). We will use this standard to test a method with an intrinsic variability (for an experienced analyst) of σ = 0.131 mmol/L. In three trials, you obtained the following cholesterol concentrations (all in mmol/L): 6.476, 6.590, 6.338. 1. Showing all work, calculate a 95% confidence interval for your measured cholesterol concentration and write it as an intermediate result (with guard digits). Does your measurement differ from μ at 95% confidence? 2. Repeat part 1 for 90% confidence and explain any change in your conclusion.  3. Another…