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The weights of envelopes sent from an insurance office are normally distributed with mean = 12 ounces and standard deviation of 3.7 ounces. The mail room clerk would like to know the average weight
A politician claims that she will receive 65% of the vote in an upcoming election. The results of a properly designed random sample of 100 voters showed that 54 of those sampled will vote for her. I
A producer of staplers has received a forecasted demand of 10,000 staplers for the coming month. Fixed costs are $11,545 per month, and the staplers cost $2.95 to produce each. Answer the following
Consider the bivariate density f(x,y)=c(x+y) for 0<=x<1, 0<=y<1
Determine confidence intervals for each of the following:
A brand name has a 40% recognition rate. Assume the owner of the brand wants to verify that rate by beginning with a small sample of 8 randomly selected consumers. What is the probability that exact
In a manufacturing process a random sample of 49 bolts manufactured has a mean length of 1.24 inches with a standard deviation of .07 inches.use a normal disribution or a t-distribution to construct
You work for a consumer watchdog publication and are testing the advertising claims of a light bulb manufacturer. The manufacturer claims that the life span of the bulb is normally distributed, with
Find the sample size needed to estimate the percentage of adults who have consulted fortune tellers. Use a 0.03 margin of error use a confidence level of 98% and the results from a prior poll sugge
One of the issues facing organizations is increasing biodiversity throughout the organization. Once of the ways to evaluate an organization's success at increasing diversity id to compare the perce
Discuss the effecct that sample size has on hypothesis testing. What do you think are your chances of rejecting any null hypothesis concerning a population proportion if a sample size of n=20 is used
Explain how we develop the regression equation and how we use it in the predictive process. What role does the standard error play in helping us determine the usefulness of the independent variable
The USA Corps of Engineers is considering two different loaders that move large amounts of fill per load. As a result, they wish to determine if the variances for the two pieces of equipment differ.
How would one have to set the tolerance limits 20-c and 20+c such that one produces at most 5 percent scrap? Assume that the mean has shifted to =20.10. Calculate the percentage of metal plates that
An independent random sample of 340 natural gas trade ads contained 47 humorous ads. Test at alpha = .02 to determine if there is a difference in the proportion of humorous ads in the two industries
A statewide real estate agency, New Colony, specializes in residential home sales in southern California. Records indicate the mean selling time of homes is 90 days.
Mathew R. is conducting a study on the dollar value of orders placed with various suppliers. A sample of 10 orders showed amounts in thousands of dollars iof 43.6, 61.3, 54, 70.7, 46, 56.3, 58.8, 73
Is the job change rate at Pioneer significantly different than the study results? Test at a level of significance of .05. (5) Find the p-value for the test results. (1)
Discuss the concept of sampling distributions, and describe the rationale for their use in making inferences about population parameters. Include the importance of the Central Limit Theorem in this
Explain how various factors determine the width of confidence intervals. Indicate how changes in these factors affect the size of a given estimate.
Calculate a 90% prediction interval for a randomely selcted single indivdual from the popultation. With a sample mean of .925 and a sample standard deviation of .00653
It is desired to test whether the number of gamma rays emitted per second by a certain radioactive substance is a random variable having the Poisson distribution with ? = 2:4. Use the following data
What is the probability of a joint having one bad weld? If a joint has two bad welds, what is the probability that it was done on a Friday?
In a recent study of 35 ninth-grade students, the mean number of hours per week that they played video games was 16.6. The standard deviation of the population was 2.8.