Students measured the concentration ofHCL in a solution by titrating with different indicators to find the end point.

Is the difference between indicators 1 and 2 significant at the 95%confidence level? Answer the same question for indicators 2 and 3.

Short Answer

Expert verified

At 95% confidence level, ,the difference between indicators 1 and 2 is significant.

At 95% confidence level, the difference between indicators 2 and 3 is not significant.

Step by step solution

01

Step 1:Check whether the difference between indicators 1 and 2 is significant

Comparing the two samples in this problem, undergo the Fand t tests for both the subparts.

Indicator 1 vs. Indicator 2:

TheF-test is done as follows:

Fcalc=s12s22=0.0022520.000982=5.27.

Ftable2.2(based on Table 4-3; degrees of freedom for s1=27and s2=17).

Since Fcalc>Ftable,then there is a significant difference between the variances and the standard deviations of the two indicators.

TheT-test is done as follows:

Based on the F test result,Fcalc>Ftable,so we will perform a case 2b of t test,

tcalc=x1-x2s12/n1+s22/n2=0.9565-0.086860.00225228+0.00098218=18.16

ttable=2.021(based on Table 4-4 ; degrees of freedom =40;95% confidence level).

Since tcalc>ttable,there is a significant difference between the means of the two indicators.

02

Check whether the difference between indicators 2 and 3 is significant

Indicator 2 vs. Indicator 3:

F-test(Note: we let x1,s1, and n1 be equal to indicator 3’s statistical values).

Fcalc=s12s22=0.0011320.000982=1.33.

Ftable2.2(Based on Table 4-3 ; degrees of freedom for s1=28and s2=17).

Since Fcalc<Ftable,there is no significant difference between the variances and the standard deviations of the two indicators.

A t-testis done as follows:

Since the conclusion in our test result was Fcalc<Ftable,perform 2a of t test.

spooled=s12n1-1+s22n2-1n1+n2-nt=0.00113229-1+0.00098218-129+18-2=1.07579428×10-3

tcalc=x1-x2spooledn1n2n1+n2=0.08641-0.086861.07579428×10-3291829+18=1.391.4.

ttable2.021(based on Table 4-4 ; degrees of freedom).

=n1+n2-nt=29+18-2,=45.,

(confidence level)

Since tcalc<ttable,there is no significant difference between the means of two indicators.

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Most popular questions from this chapter

Spreadsheet for standard deviation. Let's create a spreadsheet to compute the mean and standard deviation of a column of numbers in two different ways. The spreadsheet here is a template for this exercise.

(a) Reproduce the template on your spreadsheet. Cells B4to B8contain the data ( xvalues) whose mean and standard deviation we will compute.

(b) Write a formula in cell B9to compute the sum of numbers in B4to B8.

(c) Write a formula in cell B10to compute the mean value.

(d) Write a formula in cell C4to compute (- mean), where xis in cellB4 and the mean is in cell B10. Use Fill Down to compute values in cells C5to C8.

(e) Write a formula in cellto compute the square of the value in cell. Use Fill Down to compute values in cellsto.

(f) Write a formula in cell D9 to compute the sum of the numbers in cells D4to D8.

(g) Write a formula in cell B11to compute the standard deviation.

(h) Use cells B13to B18to document your formulas.

(i) Now we are going to simplify life by using formulas built into the spreadsheet. In cell B21type ''=SUM(B4:B8)''which means find the sum of numbers in cells B4to B8. Cell B21should display the same number as cell B9. In general, you will not know what functions are available and how to write them. In Excel 2010, use the Formulas ribbon and Insert Function to find SUM.

(j) Select cellB22. Go to Insert Function and find AVERAGE. When you type "=AVERAGE(B4:B8)" in cell B22, its value should be the same asB10.

(k) For cellB23, find the standard deviation function(=STDEVB4:B8n)and check that the value agrees with cell B11.

Suppose that you carry out an analytical procedure to generate a linear calibration curve like that shown in Figure 4-13. Then you analyse an unknown and find an absorbance that gives a negative concentration for the analyte. What might this mean?

Calibration curve. (You can do this exercise with your calculator, but it is more easily done by the spreadsheet in Figure.) In the Bradford protein determination, the color of a dye changes from brown to blue when it binds to protein. Absorbance of light is measured.

(a) Find the equation of the least-squares straight line through these points in the form y=[m(±um)]x+[b(±ub)]with a reasonable number of significant figures.

(b) Make a graph showing the experimental data and the calculated straight line.

(c) An unknown protein sample gave an absorbance of0.973. Calculate the number of micrograms of protein in the unknown and estimate its uncertainty.

(a) The linear calibration curve in Figure 4-13 isy=0.01630(±0.00022)x+0.0047(±0.0026)withsy=0.0059. Find the quantity of unknown protein that gives a measured absorbance of when a blank has an absorbance of 0.095

(b) Figure 4-13 has n=14 calibration points in the linear portion. You measure k=14replicate samples of unknown and find a mean corrected absorbance of 0.169 Find the standard uncertainty and 95%confidence interval for protein in the unknown.

Set up a spreadsheet to reproduce Figure 4-15. Add error bars: Follow the procedure on pages 87-88. Usesyfor the + and - error.

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