Skip to ContentGo to accessibility pageKeyboard shortcuts menu
OpenStax Logo
College Physics

1.3 Accuracy, Precision, and Significant Figures

College Physics1.3 Accuracy, Precision, and Significant Figures

An old rusted double-pan balance is shown with a weighing stone on one pan.
Figure 1.22 A double-pan mechanical balance is used to compare different masses. Usually an object with unknown mass is placed in one pan and objects of known mass are placed in the other pan. When the bar that connects the two pans is horizontal, then the masses in both pans are equal. The “known masses” are typically metal cylinders of standard mass such as 1 gram, 10 grams, and 100 grams. (credit: Serge Melki)
A digital analytical balance.
Figure 1.23 Many mechanical balances, such as double-pan balances, have been replaced by digital scales, which can typically measure the mass of an object more precisely. Whereas a mechanical balance may only read the mass of an object to the nearest tenth of a gram, many digital scales can measure the mass of an object up to the nearest thousandth of a gram. (credit: Karel Jakubec)

Accuracy and Precision of a Measurement

Science is based on observation and experiment—that is, on measurements. Accuracy is how close a measurement is to the correct value for that measurement. For example, let us say that you are measuring the length of standard computer paper. The packaging in which you purchased the paper states that it is 11.0 inches long. You measure the length of the paper three times and obtain the following measurements: 11.1 in., 11.2 in., and 10.9 in. These measurements are quite accurate because they are very close to the correct value of 11.0 inches. In contrast, if you had obtained a measurement of 12 inches, your measurement would not be very accurate.

The precision of a measurement system refers to how close the agreement is between repeated measurements (which are repeated under the same conditions). Consider the example of the paper measurements. The precision of the measurements refers to the spread of the measured values. One way to analyze the precision of the measurements would be to determine the range, or difference, between the lowest and the highest measured values. In that case, the lowest value was 10.9 in. and the highest value was 11.2 in. Thus, the measured values deviated from each other by at most 0.3 in. These measurements were relatively precise because they did not vary too much in value. However, if the measured values had been 10.9, 11.1, and 11.9, then the measurements would not be very precise because there would be significant variation from one measurement to another.

The measurements in the paper example are both accurate and precise, but in some cases, measurements are accurate but not precise, or they are precise but not accurate. Let us consider an example of a GPS system that is attempting to locate the position of a restaurant in a city. Think of the restaurant location as existing at the center of a bull’s-eye target, and think of each GPS attempt to locate the restaurant as a black dot. In Figure 1.24, you can see that the GPS measurements are spread out far apart from each other, but they are all relatively close to the actual location of the restaurant at the center of the target. This indicates a low precision, high accuracy measuring system. However, in Figure 1.25, the GPS measurements are concentrated quite closely to one another, but they are far away from the target location. This indicates a high precision, low accuracy measuring system.

A pattern similar to a dart board with few concentric circles shown in white color on a red background. In the innermost circle, there are four black points on the circumference showing the positions of a restaurant. They are far apart from each other.
Figure 1.24 A GPS system attempts to locate a restaurant at the center of the bull’s-eye. The black dots represent each attempt to pinpoint the location of the restaurant. The dots are spread out quite far apart from one another, indicating low precision, but they are each rather close to the actual location of the restaurant, indicating high accuracy. (credit: Dark Evil)
A pattern similar to a dart board with a few concentric circles shown in white color on a red background. Near the outermost white circles there are four black points showing the positions of a restaurant. The black points are very close to each other.
Figure 1.25 In this figure, the dots are concentrated rather closely to one another, indicating high precision, but they are rather far away from the actual location of the restaurant, indicating low accuracy. (credit: Dark Evil)

Accuracy, Precision, and Uncertainty

The degree of accuracy and precision of a measuring system are related to the uncertainty in the measurements. Uncertainty is a quantitative measure of how much your measured values deviate from a standard or expected value. If your measurements are not very accurate or precise, then the uncertainty of your values will be very high. In more general terms, uncertainty can be thought of as a disclaimer for your measured values. For example, if someone asked you to provide the mileage on your car, you might say that it is 45,000 miles, plus or minus 500 miles. The plus or minus amount is the uncertainty in your value. That is, you are indicating that the actual mileage of your car might be as low as 44,500 miles or as high as 45,500 miles, or anywhere in between. All measurements contain some amount of uncertainty. In our example of measuring the length of the paper, we might say that the length of the paper is 11 in., plus or minus 0.2 in. The uncertainty in a measurement, AA size 12{A} {}, is often denoted as δAδA size 12{δA} {} (“delta AA size 12{A} {}”), so the measurement result would be recorded as A±δAA±δA size 12{ +- δA } {}. In our paper example, the length of the paper could be expressed as 11 in.±0.2.11 in.±0.2. size 12{ +- 0 "." 2 "." } {}

The factors contributing to uncertainty in a measurement include:

  1. Limitations of the measuring device,
  2. The skill of the person making the measurement,
  3. Irregularities in the object being measured,
  4. Any other factors that affect the outcome (highly dependent on the situation).

In our example, such factors contributing to the uncertainty could be the following: the smallest division on the ruler is 0.1 in., the person using the ruler has bad eyesight, or one side of the paper is slightly longer than the other. At any rate, the uncertainty in a measurement must be based on a careful consideration of all the factors that might contribute and their possible effects.

Making Connections: Real-World Connections – Fevers or Chills?

Uncertainty is a critical piece of information, both in physics and in many other real-world applications. Imagine you are caring for a sick child. You suspect the child has a fever, so you check his or her temperature with a thermometer. What if the uncertainty of the thermometer were 3.C3.C size 12{3 "." 0°C} {}? If the child’s temperature reading was 37.C37.C size 12{"37" "." 0°C} {} (which is normal body temperature), the “true” temperature could be anywhere from a hypothermic 34.C34.C size 12{"34" "." 0°C} {} to a dangerously high 40.C40.C size 12{"40" "." 0°C} {}. A thermometer with an uncertainty of 3.C3.C size 12{3 "." 0°C} {} would be useless.

Percent Uncertainty

One method of expressing uncertainty is as a percent of the measured value. If a measurement AA size 12{A} {} is expressed with uncertainty, δAδA size 12{δA} {}, the percent uncertainty (%unc) is defined to be

% unc = δAA×100%.% unc = δAA×100%. size 12{%" unc = " { {δA} over {A} } times "100"%} {}
1.8

Example 1.2

Calculating Percent Uncertainty: A Bag of Apples

A grocery store sells 5-lb5-lb size 12{ "5-lb" } {} bags of apples. You purchase four bags over the course of a month and weigh the apples each time. You obtain the following measurements:

  • Week 1 weight: 4.8 lb4.8 lb size 12{ "4.8 lb" } {}
  • Week 2 weight: 5.3 lb5.3 lb size 12{ "5.3 lb" } {}
  • Week 3 weight: 4.9 lb4.9 lb size 12{ "4.9 lb" } {}
  • Week 4 weight: 5.4 lb5.4 lb size 12{ "5.4 lb" } {}

You determine that the weight of the 5-lb5-lb size 12{ "5-lb" } {} bag has an uncertainty of ±0.4lb±0.4lb size 12{ +- 0 "." 4`"lb"} {}. What is the percent uncertainty of the bag’s weight?

Strategy

First, observe that the expected value of the bag’s weight, AA size 12{A} {}, is 5 lb. The uncertainty in this value, δAδA size 12{δA} {}, is 0.4 lb. We can use the following equation to determine the percent uncertainty of the weight:

% unc = δAA×100%.% unc = δAA×100%. size 12{%" unc = " { {δA} over {A} } times "100"%} {}
1.9

Solution

Plug the known values into the equation:

% unc = 0.4 lb5 lb×100%=8%.% unc = 0.4 lb5 lb×100%=8%. size 12{%" unc = " { {0 "." 4" lb"} over {5" lb"} } times "100"%=8%} {}
1.10

Discussion

We can conclude that the weight of the apple bag is 5lb±8%5lb±8% size 12{5`"lb" +- 8%} {}. Consider how this percent uncertainty would change if the bag of apples were half as heavy, but the uncertainty in the weight remained the same. Hint for future calculations: when calculating percent uncertainty, always remember that you must multiply the fraction by 100%. If you do not do this, you will have a decimal quantity, not a percent value.

Uncertainties in Calculations

There is an uncertainty in anything calculated from measured quantities. For example, the area of a floor calculated from measurements of its length and width has an uncertainty because the length and width have uncertainties. How big is the uncertainty in something you calculate by multiplication or division? If the measurements going into the calculation have small uncertainties (a few percent or less), then the method of adding percents can be used for multiplication or division. This method says that the percent uncertainty in a quantity calculated by multiplication or division is the sum of the percent uncertainties in the items used to make the calculation. For example, if a floor has a length of 4.00 m4.00 m size 12{4 "." "00"" m"} {} and a width of 3.00 m3.00 m size 12{3 "." "00"" m"} {}, with uncertainties of 2%2% size 12{2%} {} and 1%1% size 12{1%} {}, respectively, then the area of the floor is 12.0m212.0m2 size 12{"12" "." 0" m" rSup { size 8{2} } } {} and has an uncertainty of 3%3% size 12{3%} {}. (Expressed as an area this is 0.36m20.36m2 size 12{0 "." "36"" m" rSup { size 8{2} } } {}, which we round to 0.4m20.4m2 size 12{0 "." 4" m" rSup { size 8{2} } } {} since the area of the floor is given to a tenth of a square meter.)

Check Your Understanding

A high school track coach has just purchased a new stopwatch. The stopwatch manual states that the stopwatch has an uncertainty of ±0.05 s. The team's top sprinter clocked a 100 meter sprint at 12.04 seconds last week and at 11.96 seconds this week. Can we conclude that this week's time was faster?

Precision of Measuring Tools and Significant Figures

An important factor in the accuracy and precision of measurements involves the precision of the measuring tool. In general, a precise measuring tool is one that can measure values in very small increments. For example, a standard ruler can measure length to the nearest millimeter, while a caliper can measure length to the nearest 0.01 millimeter. The caliper is a more precise measuring tool because it can measure extremely small differences in length. The more precise the measuring tool, the more precise and accurate the measurements can be.

When we express measured values, we can only list as many digits as we initially measured with our measuring tool. For example, if you use a standard ruler to measure the length of a stick, you may measure it to be 36.7cm36.7cm size 12{"36" "." 7" cm"} {}. You could not express this value as 36.71cm36.71cm size 12{"36" "." "71"" cm"} {} because your measuring tool was not precise enough to measure a hundredth of a centimeter. It should be noted that the last digit in a measured value has been estimated in some way by the person performing the measurement. For example, the person measuring the length of a stick with a ruler notices that the stick length seems to be somewhere in between 36.6cm36.6cm size 12{"36" "." 6" cm"} {} and 36.7cm36.7cm size 12{"36" "." 7" cm"} {}, and he or she must estimate the value of the last digit. Using the method of significant figures, the rule is that the last digit written down in a measurement is the first digit with some uncertainty. In order to determine the number of significant digits in a value, start with the first measured value at the left and count the number of digits through the last digit written on the right. For example, the measured value 36.7cm36.7cm size 12{"36" "." 7" cm"} {} has three digits, or significant figures. Significant figures indicate the precision of a measuring tool that was used to measure a value.

Zeros

Special consideration is given to zeros when counting significant figures. The zeros in 0.053 are not significant, because they are only placekeepers that locate the decimal point. There are two significant figures in 0.053. The zeros in 10.053 are not placekeepers but are significant—this number has five significant figures. The zeros in 1300 may or may not be significant depending on the style of writing numbers. They could mean the number is known to the last digit, or they could be placekeepers. So 1300 could have two, three, or four significant figures. (To avoid this ambiguity, write 1300 in scientific notation.) Zeros are significant except when they serve only as placekeepers.

Check Your Understanding

Determine the number of significant figures in the following measurements:

  1. 0.0009
  2. 15,450.0
  3. 6 × 10 3 6 × 10 3 size 12{6 times "10" rSup { size 8{3} } } {}
  4. 87.990
  5. 30.42

Significant Figures in Calculations

When combining measurements with different degrees of accuracy and precision, the number of significant digits in the final answer can be no greater than the number of significant digits in the least precise measured value. There are two different rules, one for multiplication and division and the other for addition and subtraction, as discussed below.

1. For multiplication and division: The result should have the same number of significant figures as the quantity having the least significant figures entering into the calculation. For example, the area of a circle can be calculated from its radius using A=πr2A=πr2 size 12{A=πr rSup { size 8{2} } } {}. Let us see how many significant figures the area has if the radius has only two—say, r=1.2mr=1.2m size 12{r=1 "." 2" m"} {}. Then,

A = πr 2 = 3 . 1415927 . . . × 1 . 2 m 2 = 4 . 5238934 m 2 A = πr 2 = 3 . 1415927 . . . × 1 . 2 m 2 = 4 . 5238934 m 2 size 12{A=πr rSup { size 8{2} } = left (3 "." "1415927" "." "." "." right ) times left (1 "." 2" m" right ) rSup { size 8{2} } =4 "." "5238934"" m" rSup { size 8{2} } } {}
1.11

is what you would get using a calculator that has an eight-digit output. But because the radius has only two significant figures, it limits the calculated quantity to two significant figures or

A = 4.5m2,A = 4.5m2, size 12{A" = "4 "." 5" m" rSup { size 8{2} } } {}
1.12

even though ππ size 12{π} {} is good to at least eight digits.

2. For addition and subtraction: The answer can contain no more decimal places than the least precise measurement. Suppose that you buy 7.56-kg of potatoes in a grocery store as measured with a scale with precision 0.01 kg. Then you drop off 6.052-kg of potatoes at your laboratory as measured by a scale with precision 0.001 kg. Finally, you go home and add 13.7 kg of potatoes as measured by a bathroom scale with precision 0.1 kg. How many kilograms of potatoes do you now have, and how many significant figures are appropriate in the answer? The mass is found by simple addition and subtraction:

+ 1 7.56 0 kg = 15.2 kg . - 1 6.052 kg = 15.2 kg . + 13.7 00 kg + 15.208 kg = 15.2 kg . + 1 7.56 0 kg = 15.2 kg . - 1 6.052 kg = 15.2 kg . + 13.7 00 kg + 15.208 kg = 15.2 kg . alignl { stack { size 12{7 "." "56"`"kg"} {} # size 12{ - 6 "." "052"`"kg"} {} # size 12{ { {+"13" "." 7`"kg"} over {"15" "." "208"`"kg"} } ="15" "." 2`"kg" "." } {} } } {}
1.13

Next, we identify the least precise measurement: 13.7 kg. This measurement is expressed to the 0.1 decimal place, so our final answer must also be expressed to the 0.1 decimal place. Thus, the answer is rounded to the tenths place, giving us 15.2 kg.

Significant Figures in this Text

In this text, most numbers are assumed to have three significant figures. Furthermore, consistent numbers of significant figures are used in all worked examples. You will note that an answer given to three digits is based on input good to at least three digits, for example. If the input has fewer significant figures, the answer will also have fewer significant figures. Care is also taken that the number of significant figures is reasonable for the situation posed. In some topics, particularly in optics, more accurate numbers are needed and more than three significant figures will be used. Finally, if a number is exact, such as the two in the formula for the circumference of a circle, c=rc=r size 12{c=2πr} {}, it does not affect the number of significant figures in a calculation.

Check Your Understanding

Perform the following calculations and express your answer using the correct number of significant digits.

(a) A woman has two bags weighing 13.5 pounds and one bag with a weight of 10.2 pounds. What is the total weight of the bags?

(b) The force FF size 12{F} {} on an object is equal to its mass mm size 12{m} {} multiplied by its acceleration aa size 12{a} {}. If a wagon with mass 55 kg accelerates at a rate of 0.0255  m/s20.0255  m/s2 size 12{0 "." "0255"" m/s" rSup { size 8{2} } } {}, what is the force on the wagon? (The unit of force is called the newton, and it is expressed with the symbol N.)

PhET Explorations

Estimation

Explore size estimation in one, two, and three dimensions! Multiple levels of difficulty allow for progressive skill improvement.

Figure 1.26
Order a print copy

As an Amazon Associate we earn from qualifying purchases.

Citation/Attribution

This book may not be used in the training of large language models or otherwise be ingested into large language models or generative AI offerings without OpenStax's permission.

Want to cite, share, or modify this book? This book uses the Creative Commons Attribution License and you must attribute OpenStax.

Attribution information Citation information

© Mar 3, 2022 OpenStax. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution License . The OpenStax name, OpenStax logo, OpenStax book covers, OpenStax CNX name, and OpenStax CNX logo are not subject to the Creative Commons license and may not be reproduced without the prior and express written consent of Rice University.