Use the NORMDIST spreadsheet function to answer these questions about the brakes described in Exercise 4-C:

(a) What fraction of brakes is expected to be 80% worn in less than 45800miles?

(b) What fraction is expected to be 80%worn at a mileage between 60000and 70000miles?

Short Answer

Expert verified

a) The fraction of brakes that is expected to be 80% worn in less than 45800 miles is.

b) The fraction that is expected to be 80% worn at a mileage between 60000 and 70000 miles is 0.361 .

Step by step solution

01

Definition of Gaussian curve.

The Gaussian curve is given by the formula:

y=1σ2πe-x-μ22σ2

Where,

μis approximated byx¯

σis approximated by s

e is the base of the natural logarithm

1/σ2πis normalization factor.

The variations from the mean value are stated in z multiples of the standard deviation, as follows:

z=x-μσx-x¯s

The area under the whole curve from z=-to z=+must be unity.

02

Find a fraction of brakes is expected to be 80% worn in less than 45800 miles.

(a)

The percentage of brakes that are projected to be 80% worn:

Betweenx=-andx=-45800miles, we must calculate the proportion of the area of the Gaussian curve. This may be deduced from the spreadsheet shown in figurebelow.

The formula used to calculate area is =NORMDIST45800,B2,B2,TRUE''

The fraction of brakes expected to be 80% worn in less than 45800 miles is 0.052 .

03

Find the fraction is expected to be 80% worn at a mileage between 60000 and 70000 miles.

(b)

Fraction of brakes that is expected to be 80% worn:

Calculate the percentage of the Gaussian curve's area that falls between 60000 and 70000 miles. This may be deduced from the spreadsheet shown in figure below.

The proportion of brakes projected to be 80% worn at a range between 60000 and 70000 miles is 0.361 , according to the spreadsheet.

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Most popular questions from this chapter

calibration curve based onn=10known points was used to measure the protein in an unknown. The results were protein =15.22(±0.46)μg, where the standard uncertainty is ux=0.46μg. Find the90%and 99%confidence intervals for protein in the unknown.

Use Table 4 - 1 for this exercise. Suppose that the mileage at which 10000sets of automobile brakes had been worn through was recorded. The average was 62700, and the standard deviation was 10400miles.

(a) What fraction of brakes is expected to be 80% worn in less than 45800miles?

(b) What fraction is expected to be80%worn at a mileage between 60000and 70000miles?

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.

Nitrite(NO2-)was measured by two methods in rainwater and unchlorinated drinking water. The results±standard deviation (number of samples) are

SOURCE. Data from I. Sarudi and I. Nagy, Talanta 1995,42,1099

(a) Do the two methods agree with each other at theconfidence level for both rainwater and drinking water?

(b) For each method, does the drinking water contain significantly more nitrite than the rainwater (at the 95%confidence level)?

Explain the following statement: "The validity of a chemical analysis ultimately depends on measuring the response of the analytical procedure to known standards."

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