well, im trying to figure out the same thing but with the American Crocodile [sorry i cant answer your qustion].
A set of data is considered accurate when its values are close to the accepted value of 125, and precise when the values are closely clustered together. For example, if the data points are 124.9, 125.1, and 125.0, they are both accurate (close to 125) and precise (very close together). In contrast, a set like 120, 130, and 125 would be accurate on average but not precise due to the wider spread of values.
These numbers are precise, as they are all close together. If any one of these are accurate, then this group of numbers can be considered precise and accurate.
Accurate, precise, clean, and clear
The purpose of inquire in statistics is to collect information which is later processed to acquire data. Without this information it would be very difficult to compile accurate data.
You can not get accurate data on obesity because some obese people may not visit the doctors regarding their weight problems.
It is difficult to collect accurate data on starvation because it is unethical to conduct controlled studies that involve starving people or animals. Most data on starvation are collected retrospectively (after the fact). This makes them subject to many types of error and bias.
well, im trying to figure out the same thing but with the American Crocodile [sorry i cant answer your qustion].
It is better to obtain as much data possible in order to be as accurate as one can be.
AS many countries do not collect such data a precise number cannot be known
on the rings you could collect rocks and gas substances
To collect data, a person must first know what they want to get data about. If someone wants data about horses, they would find a lot of horses and look at them for the data they would like to collect (such as color, size, or speed).
The more data you have, the more accurate your information. If you have a large amount of evidence of one result, it makes it look correct.