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A young investment manager tells his client that the probability of making a positive return with his suggested portfolio is 96%. What is the risk (standard deviation) that this investment manager has assumed in his calculation if it is known that returns are normally distributed with a mean of 7.3%?
At.02 significance level is it sensible to conclude that mean number of shoes sold at mall stores is larger than at outlet stores?
Change the last number in that set from 36 to 14 and recalculate the confidence interval. Using the results, describe the effect of an outlier or extreme value on the confidence interval.
The probability that during a sample of four (4) fishing days, the weight of the daily catch will be between 109 tons and 151 tons is?
ATM center in Mumbai is random with an average rate of 1.3 customer per min. Assume the arrival follows a Poisson distribution, calculate the probability that: Not a single customer arrived in a minute.
An assembly line turns out 10% deffectives. Determine an acceptance number and sampling plan for samples of size 14 and a producers risk of 3%. (AQL = 10)).
What is the value of the test statistic and decision? Show step by step on how you obtained your final answer.
The lengths of 225 fish caught in Lake Michigan had a mean of 15.0 inches. Assume that the population standard deviation is 2.5 inches.
A rental agent claims that the mean monthly rent, mu, for apartments on the east side of town is less than $725. A random sample of 13 monthly rents for apartments on the east side has a mean of $724, with a standard deviation of $15.
Probability using Z-score.Find the probabilities that a random variable Z having a standard normal distribution will take on a value.
How large a sample size will need to be selected if we wish to have a 99% confidence interval with a margin for error of .10 oz?
Managers from accounting department and information technology department. What is the probability that the committee will contain at least two managers from accounts departments.
Under what circumstances must a nonparametric test be used? Explain. What are the strengths and weaknesses of nonparametric tests?
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