The first set would have most data points very close to 50 while in the second set they would be much further away.
Use %RSD when comparing the deviation for popolations with different means. Use SD to compare data with the same mean.
The sample standard error.
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.
The independent variable - if there is one. A variable that is common to a number of pairs of variables that you wish to compare. For example, if you want to compare height and mass at various ages, the age would be on the x-axis.
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?
Use %RSD when comparing the deviation for popolations with different means. Use SD to compare data with the same mean.
The sample standard error.
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.
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.
Control
It seems part of this question is missing. Perhaps the answer is that you might compare the effect to basic functions such as linear, quadratic, or exponential.
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.
how should i know
The coefficient of variation is calculated by dividing the standard deviation of a dataset by the mean of the same dataset, and then multiplying the result by 100 to express it as a percentage. It is a measure of relative variability and is used to compare the dispersion of data sets with different units or scales.
Compare Standard costing vs variance analysis?"
It is called the control variable. It is used to compare to your experimental results.
The test variable (independent variable) controls the outcome variable (dependent variable).