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The closer the sample mean is to the population mean?
Your question is a bit difficult to understand. I will rephrase: In hypothesis testing, when the sample mean is close to the assumed mean of the population (null hypotheses), what does that tell you? Answer: For a given sample size n and an alpha value, the closer the calculated mean is to the assumed mean of the population, the higher chance that null hypothesis will not be rejected in favor of the alternative hypothesis.
How does a single bit error differs from burst error?
The term single bit error suggest that only one bit in the given data unit sush as byte is in error.this means that only one bit will change from 1 to 0 or 0 to 1.. In case of burst error,if two or more bits from a data unit such as bte change from 1 to 0 or from 0 to 1 then burst errors are said to have occured.the lenghth of burst is measured from the first corrupted bit to last corrupted bit
Would you expect that the inclusion of a parity bit with each character would change the probability of receiving a correct message?
The inclusion of a parity bit extends the message length. There are more bits that can be in error since the parity bit is now included. The parity bit may be in error when there are no errors in the corresponding data bits. Therefore, the inclusion of a parity bit with each character would change the probability of receiving a correct message.
What is the bit rate a sample rate of a CD?
16/44.1
What is the probability of numbers 5 and above?
The answer depends on what the experiment is and since you have not bothered to share that crucial bit of information, I cannot provide a more useful answer.The answer depends on what the experiment is and since you have not bothered to share that crucial bit of information, I cannot provide a more useful answer.The answer depends on what the experiment is and since you have not bothered to share that crucial bit of information, I cannot provide a more useful answer.The answer depends on what the experiment is and since you have not bothered to share that crucial bit of information, I cannot provide a more useful answer.
