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confidence interval is a measure of the probability of a sample to capture the true population mean. It is used to calculate the probability of a sample to capture the true population mean. The confidence interval is a measure of the probability of a sample to capture the true population mean. It is used to calculate the probability of a sample to capture the true population mean. The confidence interval is a measure of the probability of a sample to capture the true population mean. It is used to calculate the probability of a sample to capture the true population mean. The confidence interval is a measure of the probabilityWorked example: a sample of 100 with a standard deviation of 15 and 50 observations has a standard error of 15.Worked example: a sample of 100 with a standard deviation of 15 and 50 observations has a standard error of 15.Worked example: a sample of 100 with a standard deviation of 15 and 50 observations has a standard error of 15.Worked example: a sample of 100 with a standard deviation of 15 and 50 observations has a standard error of 15.Worked example: a sample of 100 with a standard deviation of 15 and 50 observations has a standard error of 15.Worked example: a sample of 100 with a standard deviation of 15 and 50 observations has a standard error of 15.Worked example: a sample of 100 with a standard deviation of 15 and 50 observations has a standard error of 15.Worked example: a sample of 100 with a standard deviation of 15 and 50 observations has a standard error of 15.Worked example: a sample of 100 with a standard deviation of 15 and 50 observations has a standard error of 15.Worked example: a sample of 100 with a standard deviation of 15 and 50 observations has a standard error of 15.Worked example: a sample of 100 with a standard deviation of 15 and 50 observations has a standard error of