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It is known that the true proportion of units in a very large population that have a particular characteristic is 0.45. A simple random sample of size n = 500 is to be selected from the population. What is the probability that the sample proportion,p^ , will be within ± 3 percentage points of the true p, i.e., Pr{0.42 ≤p^ ≤ 0.48}?
If the sample standard deviation of the sample was $630 also the sample size was 50. Findout the 90% confidence interval of true mean.
Find out the finite population correction (FPC).With a population size of 1,000 and a planned sample size of 200, what is the finite population correction.
With mean 120 mmHg and standard deviation 20 mmHg. The mean systolic blood pressure for the sample was 126 mmHg. How likely is it that the results of this sample occurred?
A haulage contractor has two loads to deliver to separate customers. He has 4 trailers of which 2 are new. If the trailers are randomly chosen for any particular delivery: (a) In how many ways can the trailers be allocated the deliveries?
What is the probability of this actually happening?
A student is selected at random from the class. What is the probability that the student is both a junior and an economics major?
How would you find the normal approximation to the binomial probability P(x = 5) in part A? Please show how you would calculate µ and σ in the formula for the normal approximation to the binomial, and show the final formula you would use without g..
Sample mean is 50, t-statistic is 1.96, and standard error of sample mean is 2. Determine the 95 percent confidence interval?
Explain how you can determine n3 from knowing n1 and n2. Thus, the multinomial distribution of (n1, n2, n3) is actually two-dimensional.
Suppose that among workers exposed to asbestos in a shipyard in 1980, 33 died over a 10-year period from COPD, whereas only 24 such deaths would be expected based on statewide mortality rates. Is the number of deaths from COPD in this group excess..
Find the discrete probability distribution for the random variable X and compute the corresponding mean and standard deviation.
The Manager of a seafood restaurant was asked to establish a pricing policy on lobster dinners. Experimenting with prices produced the following data:
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