Question: 1 2 3 4 A perfume bottle is designed to have a capacity of 15 ounces. There is variation in the bottle manufacturing process. Based

1
1 2 3 4 A perfume bottle is designed to have a
2
capacity of 15 ounces. There is variation in the bottle manufacturing process.
3
Based on historical data, let's suppose that the bottle capacity can be
4
reasonably modeled by a normal distribution with a mean of 15 ounces
and a standard deviation of 0.2 ounces. What proportion of these bottles

A perfume bottle is designed to have a capacity of 15 ounces. There is variation in the bottle manufacturing process. Based on historical data, let's suppose that the bottle capacity can be reasonably modeled by a normal distribution with a mean of 15 ounces and a standard deviation of 0.2 ounces. What proportion of these bottles will have a capacity between 14.7 and 15.1 ounces? a. 0.3830 b. 0.6247 c. 0.8664 d. 0.9876 The acceptable time for answering the phone at a call center is 20 seconds. In a sample of 750 calls, 250 were answered within 20 seconds. With 90% confidence level we can say that the true proportion of calls that are answered within 20 seconds is a. Between 32% to 34% b. Between 31.5% to 34.5% c. Between 31% to 35% d. Between 30% to 36% Assume that the p-value for a test is 0.01 . With alpha=0.05, what does this indicate? a. There is insufficient evidence to reject HA and accept H0 b. There is strong evidence to reject HA and accept H0 c. There is insufficient evidence to reject HO and accept HA d. There is strong evidence to reject H0 and accept HA You are evaluating the weight of a component manufactured in Region K vs. Region L. The null hypothesis is that the mean weight when manufactured in Region K is equal to the mean weight when manufactured in Region L. Based on the following output, what is the p-value for this test? a. 0.13076 b. 0.0636 c. 0.9682 d. 0.0318 e. None of the above

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