Answer:
ur right violence should not be fought by violence
but sometimes there are problems in the world
that just happens to lead with violence
Answer:
B. the noise (i.e., noise floor) in the signal-to-noise ratio, is a wideband noise product that is predominated by thermal noise.
Explanation:
Sound can be defined as mechanical waves that are highly dependent on matter for their propagation and transmission. Sound travels faster through solids than it does through either liquids or gases.
Signal-to-noise ratio (SNR) is simply the ratio of signal power to noise power or the ratio of desired information to the undesired signal. SNR doesn't have a unit i.e it is a unitless quantity.
Generally, the higher the signal-to-noise ratio (SNR), the better would be the quality of a signal.
Additionally, a negative signal-to-noise ratio (SNR) in decibel form simply means that the signal power is lesser than the noise power.
Hence, the correct statement regarding the signal-to-noise ratio (SNR) is that the noise (i.e., noise floor) in the signal-to-noise ratio, is a wideband noise product that is predominated by thermal noise.
Note: noise can be defined as an unwanted disturbance or undesired signal present in an electrical signal.
Our function will simply be the inverse of the given one: celsius and kelvin degrees differ by 273.15. You add this number is you compute kelvin from celsius, and you subtract this number if you're going the other way around (which is what we're doing):
#include
double KelvinToCelsius(double valueKelvin ) {
double valueCelsius = 0.0;
valueCelsius = valueKelvin - 273.15;
return valueCelsius ;
}
Answer:
A- ASYMMETRIC KEYS
Explanation:
Assymmetric keys are public keys that are use for encryption. They are public keys which may be disseminated or share widely, they are usually know by everyone. The keys come in pairs in which what one key encrypts, only the other can decrypt.
Asymmetric keys allows someone to send their public key in an open and insecure channel.
Answer:
D) Identifying Subgroups
Explanation:
In data Analytics, a third variable also known as a confounding variable, is a variable that "sits in-between", it has influence on both the independent variable and dependent variable. If this "third variable" is not properly handled, the result of the anlysis will yeild incorrect values. identifying subgroups in a dataset is important for undertanding it
