The fuse factor, often defined as the ratio of the minimum melting current (MMC) to the rated current of a fuse, typically ranges from 1.5 to 10. Extreme values can occur based on the specific application and type of fuse; for example, in certain high-speed or special fuses, the factor may exceed 10. Generally, a higher fuse factor indicates a faster response to overcurrent conditions but can also lead to increased risk of nuisance tripping. It's essential to select a fuse with an appropriate fuse factor for the intended application to ensure safety and reliability.
Any variation is very sensitive to extreme values!
Values that are commonly accepted and are not extreme in any way.
yes
An extreme interpretation of Islamic values.
No, the median is not affected by extreme values, or outliers, in a data set. The median is the middle value when the data is arranged in order, meaning it remains stable even if the highest or lowest values change significantly. This makes the median a more robust measure of central tendency compared to the mean, which can be skewed by extreme values.
Danze16
Generally not without further reason. Extreme values are often called outliers. Eliminating unusually high values will lower the standard deviation. You may want to calculate standard deviations with and without the extreme values to identify their impact on calculations. See related link for additional discussion.
extreme values don't affect the mode
false
mode and mean
Danze16
Fusing factor is the ratio of a fuse's minimum fusing current (the smallest current that will cause the fuse to melt) and the nominal rated current (usually the number in Amps marked on the fuse body).