When using the central limit theorem for means with n = 57, it is not necessary to assume the distribution of the population data is normally distributed. True False

The third worksheet labeled sample B is a simple random sample with replacement, with seven observations in the sample, from some population. The index i in the first column is just an integer name for each observation. The specific values x in the second column are measures of a random variable X distributed in the population. Now suppose this random variable X is known to have a Normal distribution in the sampled population. You still do not know the population mean and must estimate it from the sample, as you did earlier. BUT NOW, in this question, you know that the population standard deviation of the random variable X is 4.  Compute the upper bound of an 80% confidence interval for the population mean, using the appropriate sample estimate and techniques appropriate to the new knowledge situation described above. i xi 1 74.2 2 72.79 3 70.35 4 74.37 5 73.34 6 78.96 7 77.99

The Central Limit Theorem (CLT) requires a sample be randomly collected. This is to... Reduce bias and reduce accuracy. Reduce standard error and reduce precision Reduce the standard error and increase precision. Reduce bias and increase accuracy

When using the central limit theorem for means with n = 98, it is not necessary to assume the distribution of the population data is normally distributed. True False