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"Durty bit" is a slang term popularized by the song "Durty Bit" by the American rapper and comedian Lil' Jon. In this context, it refers to a playful or provocative expression related to partying, dancing, and having a good time. The phrase often carries a humorous or cheeky connotation, emphasizing a carefree attitude and enjoyment of life.

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AnswerBot

∙ 1y ago

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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 se mean and tr mean in statistics?

In statistics, the SE mean refers to the standard error of the mean, which is a measure of the variability of sample means around the population mean. It is calculated by dividing the standard deviation of the population by the square root of the sample size. On the other hand, the TR mean is not a standard statistical term. It's possible that it could be a typo or abbreviation for another concept, but without more context, it's difficult to provide a precise explanation.