Pique students' interest by asking, "Have you ever questioned the accuracy of a football official’s placement of the ball after a play? Have you wondered if two officials would ever place the ball at precisely the same spot? What if the play is only 1 inch short of a first down?”
You can ask if there are situations in life when students question the accuracy or precision of the measurement of something. A great example of inaccuracy would be the measurement of the height of Mount Everest. At one time, it was thought that Mount Everest was 29,035 ft tall. Scientists have now decided that the height is actually 29,028 ft. Since the mountain has not shrunk, it is possible that there is error embedded in how the height of the mountain was being measured. Other examples could include the amount of ice cream in a 5 oz cone from Dairy Queen, the length of a pair of pants with a 30nbsp;in inseam, and the time it takes for a musher and his dog team to complete the 1500 mi Iditarod race in Alaska and the Yukon.
Explain to students that in fact, measurements are never exact. The uncertainty of a measured quantity depends on the skill of the researcher and the limitations of the measuring instrument. These two factors determine the accuracy and precision of a measurement.
Describe to students that they will conduct an experiment, collect data, and then perform absolute and mean deviation calculations to determine whether data was reported to an appropriate number of decimals, or significant digits.
Distribute the Measuring Uncertainty activity sheet to each student. This activity will occur outside.
Before students begin, it is important to distinguish the difference between accuracy and precision:
- Accuracy is the degree to which information matches true or accepted values. Accuracy can be determined for a single measurement.
- Precision refers to the level of measurement and exactness of description. Precise data may measure position to a fraction of a unit. Precise attribute information may specify the characteristics of features in great detail. A set of data points can be analyzed for precision by comparing values to each other and looking at the range of values measured.
It is important to realize, however, that precise data, no matter how carefully measured, may be inaccurate. High precision does not indicate high accuracy nor does high accuracy imply high precision.
Here is an example that shows the difference between accuracy and precision. If you wanted to make an angel food cake, you must be BOTH accurate and precise or the recipe will fail. Imagine that the recipe called for 1 cup of flour.
- An inaccurate baker will use the 1 cup measure but not level the flour off, putting more than 1 cup of flour into the recipe.
- An imprecise baker may mistakenly use the 1/2 cup measure and very carefully level the flour off, putting exactly 1/2 cup of flour into the recipe.
- An accurate and precise baker will use the 1 cup measure and very carefully level the flour off, putting exactly 1 cup of flour into the recipe.
Precision can be described mathematically for a set of numbers. In order to calculate the precision of the data:
A simple example of a calculation of precision:
| Trial || Measurement || Absolute Deviation |
|1||8.76 cm||0.27 cm|
|2||8.43 cm||0.06 cm|
|3||8.28 cm||0.21 cm|
|Mean||8.49 cm||0.18 cm|
You will notice that the sample calculation had a mean of EXACTLY 8.49 cm. What if this number had been 8.4866666? You would use ROUND the number to the same number of decimals present in the original data to calculate the absolute deviation. When reporting experimental data, a student will learn to report all digits they are certain of plus one digit they are uncertain of. These are known as significant digits. The uncertainty of the last digit can also be indicated, as it is equal to the mean deviation.
For example, the example used earlier found the precision of a measurement to be:
8.49 cm ± 0.18 cm
- Ask students to look at the mean and mean deviation to identify what digits have uncertainty. To answer this question, they can look at the place values in the mean deviation. In the example given, the mean deviation shows a measured uncertainty in both the tenth and the hundredth decimal places.
- Determine what the LAST certain digit is. In the example, the last certain digit would be the ones place, as the mean deviation has no value in the ones place. We can be certain that any measurement would be 8 cm, but because significant digit rules allow us to have ONE uncertain digit, we are also able to estimate one more digit in our number. One thing to note is that ‘rounding rules’ need to be applied to the last digit reported. This would mean that the appropriate reporting for the measured number would be 8.5 cm.
- This would mean that measured number would be reported as 8.5 cm ± 0.2 cm.
Your class is now ready to gather their own data. Once outside, choose one person in the class to perform a long jump into a soft pit of sand (or snow).
Decide on an order for your students to perform their measurements. Every student will take one turn holding the 0 end of a measuring tape on the takeoff board, and one turn measuring the length of the jump. The same jump and measuring tape are to be used by each experimenter. These measurements are NOT to be shared until students return to the classroom.
Back in the classroom, students will share their measurements on the Class Reporting Sheet overhead. Project this summary on an overhead projector or project the data on the Measuring Uncertainty Data spreadsheet. Have students calculate the mean deviation for this set of data. If you are using the spreadsheet, formulas are set up to do this for students.
Students will now look at the precision of their measurements to determine which digits have uncertainty in them.
Have students look at the class data they have collected for the measurement of the long jump.