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Four ball bearings were taken randomly from a production line and their diameters measured. The results were 1.0250, 1.0252, 1.0249 and 1.0249. Determine the average, sample variance and sample standard deviation.
Criterion of realism or Hurwitz. Assume that the payoff from an investment depends on market conditions. Illustrate what is the criterion of realism value.
in a recent study it was reported that 22 of those who had depression went on to develop dementia compared to only 17
Find the probability of getting at least 127 boys among 152 babies. Does the result suggest that the YSORT method is effective? Why or why not?
This result prompts a test administrator to claim that standard deviation for eighth graders on examination is less than 29.At a = 0.10, is there sufficient evidence to support administrator's claim?
However, if they lose the first contract, the president thinks that the probability of winning the second contract decreases to 48%. What is the probability that they win both contracts?
Given the following number of hours between breakdowns for 4 machines, are the machines significantly different? If so, how are they different? Which machine is the best? Which machine is the worst?
set 1 48.2 58.3 62.1 53.8 72.4 56.8 54.1 66.4set 2 44.5 52.1 54.2 46.4 52.7 74.2 51.3 52.4a. with 90
Imagine there are exactly m opportunities to cross safely by the time the nth shock occurs. What is the probability that the mth opportunity is a close call (that it occurs immediately before the nth shock).
given that the random variable x has the following cumulative distribution function fx 1 - e-x for x gt 0. find the
A board of directors at the Anchor Pointe Marina is studying the usage of boats among its members. A sample of 30 members who have bots 10 to 20 feet in length showed that they used their boats an average of 11 days last July.
Bolts are randomly selected until a 5 mm bolt is obtained. The outcomes are the sequences of bolts that can be selected. So one outcome is 1, and the other is 342. List the equally likely outcomes.
The standard deviation in the 12-month earnings per share for 10 companies in the airline industry was 4.27 and the standard deviation in the 12-month earnings per share for 7 companies in the automotive industry was 2.27
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