The youngest person in the company is 21. The oldest is 66.
A: What is the range?
B: Is the range a good measure of spread for the ages in the company? Why?
Subtract
Range is only a good measure of spread if the data is uniform (equally spaced apart), otherwise range may give a false representation of spread.
For example, there could be 100 people in the office, and 98 of them are aged 30 to 32 and the other 2 are 21 and 66; the spread of the data is actually not much at all. But it seems like a lot if you use range.
Are you guys doing mean median mode and range
A: To find the range, you subtract the lowest value from the highest value. In this case, the lowest value is 21 and the highest value is 66. So the range would be 66 - 21 = 45.
B: The range is a simple measure of spread that tells us the difference between the minimum and maximum values in a dataset. However, it does not give us a complete picture of the distribution of ages. It only captures the extreme values and does not take into account any other values within the dataset.
In this case, the range of 45 indicates that there is a significant difference between the youngest and oldest employees in terms of age. However, it does not tell us anything about the distribution of ages in the middle. There could be a wide variation between the ages of employees within that range, or they could be clustered closely together.
To get a more comprehensive measure of spread, it would be useful to consider other measures such as the standard deviation or interquartile range. These measures take into account the values in the middle of the dataset and provide a more accurate representation of how the ages are distributed.