I believe the answer is 6
Answer:
The Nyquist sampling theorem states that the sampling frequency must be at least twice of the highest frequency component present in the signal.
Mathematically,
Samling rate ≥ 2×fmax
Step-by-step explanation:
We know that sound is an analog signal comprising of several different frequencies. We convert this analog signal into a digital signal by means of an analog-to-digital converter (ADC) for the purpose of storage and transmission.
For accurate and faithful analog to digital conversion, we need to take some samples per second which is basically called "Sampling rate".
So how many samples do we need?
This is where Nyquist sampling theorem comes into the picture.
Nyquist Sampling theorem:
The Nyquist sampling theorem states that the sampling rate must be at least twice of the highest frequency component present in the signal.
Mathematically,
Samling rate ≥ 2×fmax
This is the minimum sampling frequency that is required to avoid distortion of the signal.
If the Nyquist criteria is not followed then some of the information in the analog signal will be lost and the sound will not be accurately converted into the digital signal.
Therefore, a higher sampling rate would result in better reproduction of sound as compared to a lower sampling rate.
On the other hand, a higher sampling rate would also take more storage memory and reduced transmission speed.
Answer:
800 dollars
Step-by-step explanation:
To find the answer, you should multiply 10,000 by 8% or 0.08 = 800
Answer:
Data skewed to the right is usually a result of a lower boundary in a data set (whereas data skewed to the left is a result of a higher boundary). So if the data set's lower bounds are extremely low relative to the rest of the data, this will cause the data to skew right. Another cause of skewness is start-up effects.
Step-by-step explanation:
Answer: The answer is C
Step-by-step explanation: