Reference no: EM13103716
This is a practice question for my statistic final, if I can get this explained to me the rest will be a piece of cake. I think I need some confidence.
At the beginning of each football season Team Sports, the local sporting goods store, purchases 5,000 footballs. A sample of 25 balls is selected, and they are inflated, tested, and then deflated. If more than two balls are found defective, the lot of 5,000 is returned to the manufacturer. Develop an OC curve for this sampling plan.
a. What are the probabilities of accepting lots that are 10 percent, 20 percent, and 30 percent defective?
b. Estimate the probability of accepting a lot that is 15 percent defective.
c. John Brennen, owner of Team Sports, would like the probability of accepting a lot that is 5 percent defective to be more than 90 percent. Does this appear to be the case with this sampling plan?
|
How much of the riskiest stock must sell
: Currently you own a portfolio included of the following. How much of the riskiest stock must you sell and replace with risk-free securities
|
|
Probability on return on investment
: If one investment can give you $1200 with a probability of .20 and you could lose $800 with a probability of .80, and another investment can give you $600 with a probability of .70 and a loss of $300 with a probability of .30, which investment is ..
|
|
Guidelines for ethical decision making
: You are a middle manager with accountability over a staff of 16 workers. One of your workers is six months pregnant. Over the last months she has missed work an average of two days a week as well as seems to be frequently distracted at work
|
|
Closest to the correlation for the data
: A scatterplot shows a set of data points that are clustered close to a line that slopes down to the right. Which of the following values would be closest to the correlation for these data?
|
|
Oc curve for sampling plan
: What are the probabilities of accepting lots that are 10 percent, 20 percent, and 30 percent defective? Estimate the probability of accepting a lot that is 15 percent defective.
|
|
Differences between binomial and normal distribution
: What are the assumptions underlying a normal distribution? What are the assumptions underlying a binomial distribution? Why do we want to assume that our sample data represent a population distribution?
|
|
One instance of the law working to effect social change
: One instance of the law working to effect social change in the U.S is in the area of
|
|
Estimate the mean driving time of chicago commuters
: How many adults must be randomly selected to estimate the mean driving time of Chicago commuters? We want 99% confidence that the sample mean is within 4 minutes of the population mean, and the population standard deviation is known to be 8 minute..
|
|
Population sample data-binomial-normal distributions
: Why do we want to assume that our sample data represent a population distribution? What are the differences between the binomial and normal distributions?
|