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1. A certain component for the newly developed electronic diesel engine is considered to be defective if its diameter is less than 8 mm or greater than 10.5 mm. The distributions of the diameters of these parts is known to be normal with a mean of 9.0 mm and a standard deviation of 1.5 mm. If a component is randomly selected, what is the probability that it will be defective?
(Source: Unknown – 366HM?)

2. A farmer believes that the yields of his tomato plants have a normal distribution with an average yield of 10 lbs. and a standard deviation of 2 lbs. The farmer would like to identify the plants which yield the highest 5% and save them for breeding purposes. Calculate the yield which separates the highest 5% of yields from the lowest 95% of yields.
(Source: Unknown – 368HM?)

3. The number of hours before a battery must be replaced in Wellbuilt watches is normally distributed with a mean of 1,900 hours and a standard deviation of 145 hours. What proportion of watch batteries fail before 1,600 hours? Suppose that during the next six months, more than 50% fail before 1,600 hours. From a problem-sensing perspective, what might you conclude? Explain.
(Source: Unknown – 290BS?)

4. Canine Crunchies Inc. (CCI) sells large bags of dog food to warehouse clubs. CCI uses an automatic filling process to fill bags. The weights of the filed bags are approximately normally distributed with a mean of 50 kilograms and a standard deviation of 1.25 kilograms.
a. What is the probability that a filled bag will weigh less than 49.5 kilograms?
b. What is the probability that a randomly sampled filled bag will weigh between 48.5 and 51 kilograms?
c. What is the minimum weight a bag of dog food could be and remain in the top 15% (by weight) of all the bags filled?
(Source: GSFS-Eighth edition)


5. An Internet retailer stocks a popular electronic toy at a central warehouse that supplies the eastern United States. Every week the retailer makes a decision about how many units of the toy to stock. Suppose that the weekly demand for the toy is approximately normally distributed with a mean of 2,500 units and a standard deviation of 300 units.
a. If the retailer wants to limit the probability of being out of stock of the electronic toy to no more than 2.5% in a week, how many units should the central warehouse stock?
b. If the retailer has 2,750 units on hand at the start of the week, what is the probability that weekly demand will be greater than inventory?
c. If the standard deviation of weekly demand for the toy increases from 300 units to 500 units, how many more toys would have to be stocked to ensure that the probability of weekly demand exceeding inventory is no more than 2.5%?
(Source: GSFS-Eighth edition)

If something is not clear, ask for clarification by emailing me (I am available to help you learn). Do not answer the wrong question (and commit a type III error) and get penalized on the grade.

Problem Suggestion
Not specifying your answer clearly (and require the instructor to fish for the answer) Clearly mark your answer as “Answer.”
Not addressing all the requirements Read and follow all instructions. Create a checklist for your use to insure your report meets/addresses all requirements.
Not including a graph for each problem part Include Minitab graphs
Not separately stating your answer State the answer to each part in mathematical terms and with a business conclusion, Follow the in-class and practice sets as examples.
Stating the answer/probability for the wrong end of the curve It is easy to mix up the ends and have an answer that is 1-the correct answer. At the end when you state your answer, make sure it makes logical sense. For example, if the mean on the test is 85 and you are asked for the score of the top 5%, an answer could be 95 – an answer of 75 (the bottom 5%) would not make sense.

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