Answer:
Step-by-step explanation:
The quantities you need to know to calculate the uncertainty in the mean are:
* The number of measurements
* The mean of the measurements
* The standard deviation of the measurements
The median and largest measurement are not needed to calculate the uncertainty in the mean.
The uncertainty in the mean is a measure of how much the mean of a set of measurements is likely to vary from the true value of the quantity being measured. It is calculated using the standard deviation of the measurements. The standard deviation is a measure of how spread out the measurements are around the mean.
The uncertainty in the mean can be calculated using the following formula:
```
uncertainty = standard_deviation / sqrt(number_of_measurements)
```
For example, if you have 10 measurements with a mean of 100 and a standard deviation of 5, then the uncertainty in the mean would be:
```
uncertainty = 5 / sqrt(10) = 1.5811
```
This means that the true value of the quantity being measured is likely to be between 98.419 and 101.581.
The median and largest measurement are not needed to calculate the uncertainty in the mean because they do not provide any additional information about the spread of the measurements around the mean. The median is simply the middle measurement in a set of measurements, and the largest measurement is the highest measurement in a set of measurements. Neither of these measures takes into account how spread out the other measurements are around the mean.