- #1
sosme
- 4
- 0
I thought that they were both the same, they're mean of the sample aren't they?
The sample mean is the average value of a subset of data, while the population mean is the average value of the entire set of data. The sample mean is an estimate of the population mean.
Comparing the sample mean to the population mean allows us to determine if the sample is representative of the entire population. It helps us understand the characteristics of the data and make inferences about the population.
The sample mean is calculated by adding all the values in the sample and dividing by the number of values in the sample. The population mean is calculated in the same way, but using all the values in the population.
The significance of the difference between sample mean and population mean depends on the purpose of the study and the size of the difference. A larger difference may indicate that the sample is not representative of the population, while a smaller difference may be considered acceptable.
If the sample mean is very close to the population mean, we can assume that the sample is representative of the population. If the sample mean is significantly different from the population mean, it may indicate that the sample is not representative and further analysis may be needed.