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an inspector working for a manufacturing company has a %99 chance of correctly identifying defectiv items and a %0.5 chance of incorrectly classifying a good ite as defective. The company has evidence that its line produces %0.9 of noncorforming items. What is the probability that an item selected for inspection is classified as defective?
Find the probability that a customer with 2 or more late payments will actually default on his payments and, in light of this probability, criticize the manager's credit plan.
Hypothesis Testing: We wish to test the claim that the mean body mass index (BMI) of men is equal to the mean BMI of women. Use the data to the right to test this claim.
Normal distribution with mean 1,200 hours, and standard deviation 70 hours. Determine the probability the mean life time of a random sample of 9 bulbs will be At least 1,180 hours.
Engineers want to design seats in commercial aircraft so that they are wide enough to fit 98% of all males. (Accommodating 100% of males would require very wide seats that would be too expensive.)
An orange juice producer buys all their oranges from one particular orchard. The amount of juice from the oranges is approximately normally distributed with a mean of 152 ml. and a standard deviation of 41 ml.
If we were to ask three people at arbitrary, determine the probability that they will all prefer punk rock?
A researcher is interested in studying the relationship between certain driving habits and type of vehicle. He hypothesizes that signaling behavior will be different for drivers of trucks and cars.
Following are speeds of 40 cars clocked by radar on a particular road in a 35-mph zone on a particular afternoon; Make (a) a frequency table, (b) a histogram, and (c) a frequency polygon. Then describe the general shape of the distribution.
The difference in mountain elevation of 26,200 feet and 1,100 feet below the surface of the ground. I am thinking +26,200 feet minus -1100 feet
When we say we have a confidence level of 95%, what do you think our "margin of error" is? If we move the level of confidence from 95 to 99%, what will happen to our margin of error? What will happen to the width of our confidence interval?
On a graph, the vertical difference between the observed and predicted values of the response variable for an individual is called the
Assume the condition of Normality is met for the problem below. I also want to know the following elements: (Please do not use the Student t test, nor a Chi-square test) Two-tailed test ok?
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