Step 1 Give a real-world example. 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. Step 2 Explain your test and post. 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. Post your situations and examples
Step 1 Give a real-world example. 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. Step 2 Explain your test and post. 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. Post your situations and examples
Step 1 Give a real-world example. 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. Step 2 Explain your test and post. 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. Post your situations and examples
Answer to part 1: STEP I
We need to state three real life examples where the sample mean needs to be compared to the population mean:
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Example 1:
We got a sample fo 30 students , who appear for SAT exam. There scores are noted and the mean score is denoted as x bar. The last year\'s average score of SAT was 1200
So our aim is to find out if the sample of 30 students scored better than 1200 or not
This is one real life example where the sample mean get compared to the population mean
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Example 2:
Suppose there ia bulb manufacturing company , and it claims that the bulb has the average life of 100 hours
So we can randomly select any 20 bulbs from the lot and check if the claim is true
In this case we select the 20 bulbs randomly and find the average hours they last for, and we expect that this sample mean is not significantly different from the claim made of 100 hours.
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Example 3:
Suppose we need to find out if the average weight of newborn babies now is more than the national average 10 years back
Suppose the national average was 5.5 pounds 10 years back
Now we take some random weights of new borns from different hospitals and families , and find the average weight for them
and then compare the weight of the sample of new borns with the national average of 5.5 pounds.
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Step II:
All the three exmaples require a one sample T test to be done
Homework Sourse
