Here is a least-squares problem that you can do by hand with a calculator. Find the slope and intercept and their standard deviations for the straight line drawn through the points(x,y)=(0,1),(2,2)and (3,3). Make a graph showing the three points and the line. Place error bars (±sy)on the points.

Short Answer

Expert verified

The slope is0.6±0.1

The intercept is0.93±0.2

The standard deviation is0.26726

The graph in step 3 shows the experimental data and the calculated straight line.

Step by step solution

01

Formulas need to be used

The equation of a straight line is:

y=mx+by=[mum]x+[b±ub]

The standard deviation of y:sy:

The standard deviation of y is mathematically presented as σysy=(di2)n-2

The standard uncertainty of slope and intercept:

The standard uncertainty of slope is:

um2=sy2nD

The standard uncertainty of intercept is mathematically presented as ub2=sy2(xi2)D

02

Equation of the least-squares straight line

Given data:

The given points of a straight line are:x,y-0,1,2,2,and3,3.

The equation of the least-squares straight line:

The equation of the straight line will be ysy=mumx+b±ub

From the given data, the value of xi2,diand di2are tabulated as follows:

D=xi2xixinm=xiyixiyinD=(3)(13)(5)(6)14=914=0.64286b=xi2xiyiyiD=13×613×5÷14=0.92857.sy=di2n2=0.0714332=0.26726sm=synD=(0.26726)314=0.12371.sb=synD=(0.26726)1314=025754

Therefore, the slope is0.6±0.1and the intercept is0.93±0.2.

03

Graph of straight line

The graph shows the three given points along with the error bars.

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Most popular questions from this chapter

For the numbers 116.0,97.9,114.2,106.8and 108.3, find the mean, standard deviation, standard uncertainty ( = standard deviation of the mean), range, and 90% confidence interval for the mean. Using the Grubbs test, decide whether the number 97.9should be discarded.

The percentage of an additive in gasoline was measured six times with the following results:0.13,0.12,.16,0.17,0.20,0.11%. Find the90% andconfidence intervals for the percentage of the additive

Repeat Problem 4-7 but use the values 50, 100, and 150 for the standard deviation. Superimpose all three curves on a single graph.

Logarithmic calibration curve. Calibration data spanning five orders of magnitude for an electrochemical determination of p-nitrophenol are given in the table. (The blank has already been subtracted from the measured current.) If you try to plot these dataon a linear graph extending from 0 to 310μg/mLand from 0 to 5260nA, most of the points will be bunched up near the origin. To handle data with such a large range, a logarithmic plot is helpful.

Overwhatrangeisthelog-logcalibrationlinear?

(a) Make a graph of log (current) versus log( concentration). Over what range is the log-log calibration linear?

(b)FindtheequationoftheLine

InTheform log(current)=m×log(concentration)+b

(c) Find the concentration of p-nitrophenol corresponding to a signal of 99.9nA.

(d) Propagation of uncertainty with logarithm. For a signal of 99.9nA, log (concentration) and its standard uncertainty turn out to be 0.68315±0.04522. With rules for propagation of uncertainty from Chapter 3, find the uncertainty in concentration.

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.

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