A population that is uniformly distributed between a=0 and b= 10 is given in sample sizes 50(), 100(), 250), and 500() F
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A population that is uniformly distributed between a=0 and b= 10 is given in sample sizes 50(), 100(), 250), and 500() F
A population that is uniformly distributed between a=0 and b= 10 is given in sample sizes 50(), 100(), 250), and 500() Find the sample mean and the sample standard deviations for the given data. Compare your results to the average of means for a sample of size 10, and use the empirical rules to analyze the sampling enor For each sample, also find the standard error of the mean using formula given below Standard Error of the Mean Complete the following table with the results from the sampling experiment (Round to four decimal places as needed) Sample Size 50 100 250 500 Average of 8 Sample Means 0000 Standard Deviation of 8 Sample Means 0000 Standard Error 0000
Compare the results to the expected value. Choose the correct answer below. OA The means of samples become further apart from the true expected value as the sample size increases OB. The average of the sample means becomes larger for increasing sample sizes OC. The average of the sample means becomes smaller for increasing sample sizes OD. The means of samples are clustered close together around the true expected value as the sample size increases Analyze using empirical rules Use 3 standard deviations (Round to two decimal places as needed) For a sample of size 50, we would expect the sample means to fall between and [ For a sample of size 250, we would expect the sample means to fall between and As the sample size increases, the error 4 For a sample of size 100, we would expect the sample means to fall between and For a sample of size 500, we would expect the sample means to fall between and