The number of programming errors in HW assignments by computer science students is assumed to follow a Poisson distribution with mean l (so that the density function is f(x) = lambda ^ x * (e ^ - lambda) / x! ).
a) Recall that the mean and variance of a Poisson distribution are both equal to l. A professor examines the distribution of the number of programming errors for one of her assignments. There were 50 assignments turned in. Suppose that lambda = 5 in this case. What are the mean and variance of Xbar?
b) What does the central limit theorem tell us about the distribution of Xbar?
c) Assuming that n=50 is large enough for the CLT to be valid, what is the probability that the average number of errors is 5.0 or higher? What is the probability that the average number of errors is 6.0 or higher?
d) In past years the average number of errors for this assignment has been 5.0. This year the average is 6.0. The teaching assistant argues that the class is just as good, or better, as past years and the higher average is just due to chance. What do you think? Justify your answer. (Hint: find the p-value for H0: lambda = 5 vs H1: lambda > 5)



The number of programming errors in HW assignments by computer science students is assumed to follow...
The number of errors in a sequence follows a Poisson distribution. The average number of errors in 50 members of the sequence is 1.2. (a) What is the probability of exactly three flaws in 150 members of the sequence? (b) What is the probability of exactly one flaw in the first 50 members of the sequence and exactly one flaw in the second 50 members of the sequence? Since this is a Poisson distribution the two parts of the sequences...
Problem 5 (15): The number of defects on inspected assemblies follow a Poisson distribution (lambda=.04). A process improvement improves (or lowers) lambda by 50%. a) What is the change in the probability of finding exactly 2 defects from adopting the improvement?
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B6. A study is conducted in a class of 360 students investigating the problem of screen cracking in mobile phones. We assume that a) the number of screen cracking events follows a Poisson distributiorn and that b) the expected rate of screen cracking is 1 in 3 per phone per year. i) Write down the formula for the probability mass function of a Poisson random variable withh 3 marks parameter X, stating also the...
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errors accumulate ran 1.1.6. It's reasonable to expect that floating point during a long computation, creating what is known as a random walk. O average we expect as many errors to be negative as positive, so they tend to partially cancel out. Suppose we define a random sequence by x 0 and 4-1 ± 1 for n 1, with the signs chosen by tossing a fair coin for each n. Let a, and...
1. Suppose that 81% of the people in Houston live in the city and 19% of the people live in the suburbs. If the 21,000 undergraduate students from UH represent a random sample of the population, what is the probability that the number of UH undergraduates are from suburbs will be fewer than 4,000? (Hint: Apply normal approximation to binomial probability via CLT.) 2. Suppose that the body mass index (BMI) measure for adults is normally distributed with mean 21.7...
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Problem 2. Recall that a discrete random variable X has Poisson distribution with parameter λ if the probability mass function of X is fx (x) = e-λ- XE(0, 1,2, ) ar! This distribution is often used to model the number of events which will occur in a given time span, given that λ such events occur on average a Prove by direct cornputation that the mean of a Poisson randoln...
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