False. While using the right sampling technique can increase the probability of getting sample mean values that are close to population mean values.
A population is the entire set of people in a group, whether that group is a country or a collection of people who share a certain trait. A population is the group of people from which a statistical sample is taken in statistics.
The sample mean is the mathematical average of values selected at random from the population. The population mean is a representation of the population's real mean.
It is impossible to ensure that the sample mean and population mean will be a perfect match. This is because sampling has intrinsic variability and randomness, which can cause discrepancies between the sample and the population even in studies that are carefully planned. Additionally, there could still be some variability or error in the estimates even if the sample mean is quite near to the population mean, which might have an impact on the accuracy of the findings.
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