Comparing a Sample Mean to a Population Mean
Step 1 Factories use one-sample t-tests to determine if the quality of their product is consistent. For example, Frito Lay randomly pulls a sample of 30 bags of chips from the line, calculates the average weight of the bags along with the standard deviation, and compares that mean to the weight stated on the bag (considered the population mean). In this example, Frito Lay would not want significant differences between the mean weight of the sample and the population mean. Identify at least three other real world situations in which we would want to compare a sample mean to a set or population mean. (Please provide 3 example steps by step)
Step 2 For each situation you listed explain how you would conduct the test to determine if the sample mean is significantly different from the population mean.