A bottled water company bottles varying sizes of water, from 8-ounce to 1-gallon containers. The company has determined that the mean quantity in their 20-ounce bottles is 20.8 ounces with a standard deviation of 0.6 ounces. The bottling plant manager believes his machines are overfilling the bottles. A random sample of 30 bottles is taken, and the mean number of ounces of water is determined to be 21. Under the assumption that the true mean ounces of water is 20.8, 100 simulated means for samples of size 30 are shown in the dotplot A dotplot title mean ounces of water. A number line labeled simulated means of samples, n = 30 goes from 20.50 to 21.10. One dot is above 21. What does the dot above 21 represent? The majority of the samples had a mean less than 21 ounces. In one simulated random sample of 30 bottles of water, the mean number of ounces was 21. In one simulated random sample of 30 bottles of water, the mean number of ounces of the population was 21. There is a 1 in 100 chance that a random sample of 30 bottles of water will have a mean number of ounces