Estimate the proportion of parts from vendor A that are defective and find the uncertainty in the estimate. Estimate the proportion of parts from vendor B that are defective and find the uncertainty in the estimate.
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In a random sample of 100 parts ordered from vendor A, 12 were defective. In a random sample of 200 parts ordered from vendor B, 10 were defective.
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Estimate the proportion of parts from vendor A that are defective and find the uncertainty in the estimate.
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Estimate the proportion of parts from vendor B that are defective and find the uncertainty in the estimate.
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- A magazine provided results from a poll of 1000 adults who were asked to identify their favorite pie. Among the 1000 respondents, 12% chose chocolate pie, and the margin of error was given as ±5 percentage points. Describe what is meant by the statement that "the margin of error was given as ±5 percentage points."The highway department wants to estimate the proportion of vehicles on a Highway at KM 25 between midnight and 5:00 A.M. The head of the department wants to see how many 18-wheel tractor trailers pass on the road. These estimates will be used to determine highway repairs and construction considerations and in highway patrol planning. The department chief asked investigators to calculate estimates of vehicles at different locations on inter-island roads over the past 7 days. From 3,481 vehicles counted there are 927 are 18-wheel drive. However, out of the total 927, there were 51 vehicles that had accidents so that the sample was calculated based on the results of a reduction in the number of accidents. Specify an approximate point for the proportion of vehicles performingtravel on KM 25 during this time period which is an 18-wheeled vehicle!(Assume the confidence level is 99%). What are the benefits of estimating value estimates in this case (analysis of the answers you have obtained)?A survey of 120 fatal accidents showed that in 24 cases the driver at fault was inadequately insured. Determine the point estimate for p, the population proportion of accidents where the driver at fault was inadequately insured (round to nearest hundredth)
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