is a data set with same variables but observed from different group of respondents
Pooled variance is a method for estimating variance given several different samples taken in different circumstances where the mean may vary between samples but the true variance (equivalently, precision) is assumed to remain the same. A combined variance is a method for estimating variance from several samples, given the size, mean and standard deviation of each. Mathematically, a combined variance is equal to the calculated variance of the set of the data from all samples. See links.
mean does not mean the center of the data
The mean of a set of data is the sum of that data divided by the number of items of data.
what do you mean by data assembly?
is a data set with same variables but observed from different group of respondents
Pooled variance is a method for estimating variance given several different samples taken in different circumstances where the mean may vary between samples but the true variance (equivalently, precision) is assumed to remain the same. A combined variance is a method for estimating variance from several samples, given the size, mean and standard deviation of each. Mathematically, a combined variance is equal to the calculated variance of the set of the data from all samples. See links.
Kingdoms of vegetals and animals are dominated by the carbon chemistry.
It means the blood pooled in the uterus and vagina long enough to start to coagulate.
The pooled quota means a waiting list for a train ticket. These are usually seen in a small group of cities in smaller countries.
Benevolent associations pooled money together to provide help to new immigrants.
mean does not mean the center of the data
mean does not mean the center of the data
what do you mean by data assembly?
The mean of a set of data is the sum of that data divided by the number of items of data.
no. Some mean is a number from the data but some mean is completely different from its data.
Its mean incomplete data or the data upon which we can not rely totally.