Accuracy and precision are two terms used often in science. Accuracy is the closeness of a measurement to the standard or true value. For example, if you measure the length of a 30 foot wall and your reported measurement is 29.99 feet, your measurement is fairly accurate.
Precision is how close the measurements are to each other. For example, you may measure the wall above and obtain the following measurements 24.99 feet, 25 feet, and 25.1 feet. Although your measurements are precise because they are all close together, they are not accurate because they are not close to the 30 foot measurement.
Using these two definitions, let’s take a look at question #1. To determine if the data is accurate we need to decide if the values are close to the standard. The norm is 45, yet the values are 64, 69, 65, and 67. Therefore, this data would not be accurate. To determine precision, we would look at how close the values are to each other. The numbers 64, 69, 65, and 67 are fairly close to each other and therefore would be considered precise. The solution to number one is that the information is precise.
Give the above example and definitions, you should now be able to complete the remaining problems on your own.