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Suppose that the distribution of the number of defects on any given bolt of cloth is a Poisson distribution with mean 5, and that the number of defects on each bolt is counted for a random sample" of 125 bolts. Determine the probability that the average number of defects per bolt in the sample will be less than 5.5.
the famous urn contains 11 red beads and 8 black beads. if 7 beads are drawn without replacement what is the
What is the probability that a waitress will refuse to serve alcoholic beverages to only 2 minors if she randomly checks the IDs of 5 students from among 9 students of which 4 arc not of legal age?
A random process has sample functions of the form X(t)=A, where A is a Rayleigh distributed random variable with mean of 4. Is this process wide sense stationary? If so, why?
What is the parameter of interest in this situation? Give notation and define it.- What is the sample statistic in this situation? Give notation and define it.
Jeweller desires to know how many of each item to make each week to maximize profit. Create the integer programming model for this problem (written in format similar to way Problems 1 and 2 were presented).
in a dice game if a players rolls a 5 or a 7 she wins 10.00. if she rolls a 9 she wins 5.00 .. the cost to play the
In the previous exercise you analyzed the association between the amounts of fat and sodium in fast food hamburgers. What about fat and calories?
a loan officer in a large bank has been assigned to screen 60 loan applications during the next week. if her past
Computer output for fitting a simple linear model is given below. State the value of the sample slope for the given model. In testing if the slope.
More spam. Consider again the points-based spam filter described in Exercise. When the points assigned to various components of an e-mail exceed the cutoff.
Determine kas a function of µ such that ƒ is the probability density function of a random variable X. What is the distribution function of X?3- If we define Y=X-λ/µ. What is the distribution of Y?
Find the proportion and the count for this sample.- Compute the 95% confidence interval for the proportion.- Convert the estimate and confidence interval in terms of proportions to an estimate and confidence interval in terms of percents.
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