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When we know the population mean but not the population standard deviation which statistic do we use to compare a sample to the population?
Wiki User
∙ 8y ago
The sample standard error.
Wiki User
∙ 8y ago
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When do you use the relative standard deviation instead of standard deviation?
Use %RSD when comparing the deviation for popolations with different means. Use SD to compare data with the same mean.
What are the advantages and disadvantages of coefficient of variation?
One the main advantage of using the coefficient of variation over the standard deviation to measure volatility is the fact that CV is normalized and can be used to directly compare different asset's volatility. The standard deviation must be used in the context of the mean of the data.
How would a data set containing the values of a variable with a mean of 50 and standard deviation of 2 compare with a mean of 50 and standard deviation of 20?
The first set would have most data points very close to 50 while in the second set they would be much further away.
Paul wants to compare whether the prices of tangerines in two supermarkets differ significantly. He has been noting down the daily prices for the last few days and has found the difference in the samp?
part 2 means to be 20 cents. If the standard deviation of the distribution of the difference between sample means is 28 cents and we are testing the null hypothesis at the 95% confidence level, which statement is true?
How does a census compare to a sample?
a census is the procedure of systematically acquiring and recording information about all d members of a given population and a sample is a group from d population a census is more thorough and gives accurate information about a population while being more expensive and comsuming time comsuing rather than a sample
When do you use the relative standard deviation instead of standard deviation?
Use %RSD when comparing the deviation for popolations with different means. Use SD to compare data with the same mean.
What is the tempo of daniw?
One the main advantage of using the coefficient of variation over the standard deviation to measure volatility is the fact that CV is normalized and can be used to directly compare different asset's volatility. The standard deviation must be used in the context of the mean of the data.
What are the advantages and disadvantages of coefficient of variation?
One the main advantage of using the coefficient of variation over the standard deviation to measure volatility is the fact that CV is normalized and can be used to directly compare different asset's volatility. The standard deviation must be used in the context of the mean of the data.
How would a data set containing the values of a variable with a mean of 50 and standard deviation of 2 compare with a mean of 50 and standard deviation of 20?
The first set would have most data points very close to 50 while in the second set they would be much further away.
What is the difference between a chi-square and t-distribution?
Chi-square is a distribution used to analyze the standard deviation of two samples. A t-distribution on the other hand, is used to compare the means of two samples.
Using mean and mean absolute deviation to compare data quiz?
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How does the standard curve work in Biology?
Biologists assume that the systems they are studying are "representative" of the population as a whole, that is, that the population's test results will be distributed according to the standard curve...ie, that graph of scores that best covers the range of 90% of scores in the entire population. In short, the standard curve provides the baseline by which to compare test results.
Why was the deviation IQ important?
It allowed psychologist to compare one subject's IQ with that of another subject
What in an experiment is the standard used to compare with the outcome?
The control is the standard used to compare with the experimental results.
Compare Standard costing vs variance analysis?
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Compare the different kinds of animal population?
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What is a Z Score?
A z-score is a means to compare rank from 2 different sets of data by converting the individual scores into a standard z-score. The formula to convert a value, X, to a z-score compute the following: find the difference of X and the mean of the date, then divide the result by the standard deviation of the data.
