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An information source produces 0 and 1 with probabilities 0.3 and 0.7 respectively. The output of the source is transmitted via a channel that has probability of error (turning a 1 into 0 and 0 into 1) equal to 0.2.
a) what is the probability that a 1 is observed ?b) What is the probability that a 1 was the output of the source if at the output of the channel a 1 is observed.
Initially the wheel rotates with an angular speed W, causing the block to rise with a linear speed v = 0.33 m/s. Find the moment of inertia of the wheel if the block rises to a height of = 7.9 before momentarily coming to rest.
Describe the given data show a seasonal effect using moving average method. Describe the data which show a seasonal effect.
To model this fact, we assume that only half of the goods produced during a week can be used to meet the current week's demand (assume that all of the prior week's ending inventory can be used to meet the current week's demand). Determine how to m..
Determine standardized test statistic z and its corresponding area. If convenient use technology. z=( ) round to two decimals. Area= ( ).
What is the probability that a particular driver had exactly two speeding violations?
Estimate the number of workers in the sample who are union members by giving the mean of the relevant distribution (that is, the expectation of the relevant random variable). Do not round your response.
A business owner decides to use a binomial distribution to solve one of his problems. He knows there is a 60 percent probability that he will sell one of his Red Oak floors to any customer who comes into his shop and views the wood.
Take any number, square it, and add 6, multiply by the original number. Now add 5 to that. Now divide this by the original number plus 1. Now subtract your original number and you should get 5.
Find the critical value for a two tailed F-test with alpha=.05 when the sample size from which the variance for the numerator was obtained was 21 and the sample size from which the variance for the denominator was obtained 12
A customer receives a defective product. What is the probability that it came from Binford? What assumptions did you make to answer this question?
Let p vary from 0.02 to 0.20 in increments of 0.02. b) Sketch the graph of the probabilities of the lot acceptance as the p value varies from 0.02 to 0.20.
Compare the actual results to those expected from the Poisson probabilities. Explain, how you do the comparison. Does the Poisson distribution serve as a good device for predicting the actual results?
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