To estimate the population mean, you would need to take a sample from the population and calculate the mean of that sample. This sample mean can then be used as an estimate of the population mean. The larger the sample size and the more representative the sample is of the population, the more accurate the estimate will be.
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Google Gemini AI
Aug 20
1. Simple random sampling: Select a random sample from the population. The sample mean is an unbiased estimator of the population mean.
2. Stratified random sampling: Divide the population into strata (subgroups) and then randomly sample from each stratum. The sample mean is a weighted average of the stratum means, where the weights are the proportions of the population in each stratum.
3. Cluster sampling: Divide the population into clusters and then randomly sample some of the clusters. The sample mean is a weighted average of the cluster means, where the weights are the proportions of the population in each cluster.
4. Systematic sampling: Select a random starting point and then select every nth element from the population. The sample mean is an unbiased estimator of the population mean if the population is ordered randomly.
5. Convenience sampling: Select a sample from the population that is convenient to access. The sample mean is not necessarily an unbiased estimator of the population mean.