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Recall that the beef cattle described in Exercise 19 had a mean weight of 1152 pounds, with a standard deviation of 84 pounds.
a) Cattle buyers hope that yearling Angus steers will weigh at least 1000 pounds. To see how much over (or under) that goal the cattle are, we could subtract 1000 pounds from all the weights. What would the new mean and standard deviation be?
b) Suppose such cattle sell at auction for 40 cents a pound. Find the mean and standard deviation of the sale prices for all the steers.
Short-term rates fluctuate daily.- Find a value such that 95% of the time during that period the yield of 90-day T-bills was below this value.
The 25 samples of ?sh in the study produced the following summary statistics: x = 1030.5 g, and the standard deviation s = 200.6 g. Construct a 95% con?dence interval for the true variation in weights of contaminated ?sh in this river.
An automobile manufacturer claims the variance in the fuel consumption for its vehicles is less than the variance of similar type vehicles from another competitor.
suppose x has an exponential distribution with mean equal to 10. determine followinga px gt 10b px gt 20c px gt
What is the probability that the freshman is enrolled in both English 105 and Mathematics 101? What is the probability that the freshman is enrolled in English 105 but not in Mathematics 101? What is the probability that the freshman is not enrolled ..
Is there any statistically significant difference in how the drugs perform? If so, explain the effect. Use the post hoc tests as needed.
the gss measures the amount of hours individuals spend on the internet per week. males use the internet 10.17 hours per
One shipment is chosen at random and a pair of slacks randomly selected. It is a pair of women's slacks. What is the probability it came from shipment 1?
Use these data to test the hypothesis that the median salary of financial accountants in 2007 was not greater than in 2004. What is the p-value?
If s(x) = [1-(x/100)]1/2, 0 ≤ x ≤ 100, evaluate a. 17p19 b. 15q36 c. 15|13q36 d. μ(36) e. E[T(36)].
In a raffle, 1,000 tickets are sold for $2 each. One ticket will be randomly selected and the winner will receive a laptop computer valued at $1200. What is the expected value if a person buys one ticket?
Use the binomial distribution formula to calculate the probability that:
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