AII.S-IC.B.4
Use data from a sample survey to estimate a population mean or proportion; develop a margin of error through the use of simulation models for random sampling.
Example Problems
A bakery's loaf weights (in grams) are normally distributed with a mean of and a standard deviation of . Suppose the bakery selects a random sample of loaves and computes the sample mean weight.
What is the probability that the sample mean weight is within of the population mean?
Round your answer to the nearest hundredth.
What is the probability that the sample mean weight is within of the population mean?
Round your answer to the nearest hundredth.
In a controlled process, pressure readings (in ) are normally distributed with a mean of and a standard deviation of . Suppose a technician records a random sample of 5 readings and computes the sample mean pressure.
What is the probability that the mean pressure from a sample of 5 readings exceeds ?
Round your answer to the nearest hundredth.
What is the probability that the mean pressure from a sample of 5 readings exceeds ?
Round your answer to the nearest hundredth.
A machine shop manufactures bolts whose diameters (in millimeters) are normally distributed with a mean of and a standard deviation of . Suppose inspectors measure a random sample of bolts and compute the sample mean diameter.
What is the probability that the sample mean diameter is less than ?
Round your answer to the nearest hundredth.
What is the probability that the sample mean diameter is less than ?
Round your answer to the nearest hundredth.
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