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1. In the partially ordered set N × N with the ordering ( j, k) ≤ (m, n) iff j ≤ m and k ≤ n, consider the sequence (n, n), for n = 0, 1, 2,... . Describe all the maximal chains that include the given sequence. Do any of these chains have upper bounds?
2. Find a partially ordered set (X, ≤), with as few elements as possible, for which the hypothesis of Zorn's lemma holds (every chain has an upper bound) but which does not have a maximum.
New population of pilots has normally distributed weights with mean of 128 lb and standard deviation of 31.7 lbs. If the pilot is randomly selected, determine the probability that his weight is between 120 lb and 181 lb.
Find a 95% confidence interval for the mean monthly rent for unfurnished one-bedroom apartments available for rent in this community.
1. each supplier is rated on a 10-point scale 10 highestfor four different criteria price quality delivery and
Normally distributed with a mean of 852 and a standard deviation of 143. The proportion of days when at least 800 cars pass through the intersection is about?
Determine what scores correspond to the top and bottom 10% and 25% of the data. Begin with the z-score formula and transform the formula so that you are solving for the individual score (denoted as X in the z-score formula).
In the study of fingerprints, an important quantitative characteristic is the total ridge count for the 10 fingers of the individual.
a presidental candidate conducts a poll of likely voters in ohio to determine their mean ageanswer the following1.
a sample of n 7 scores has a mean of m 9. one score in the sample is changed from x 19 to x 5. what is the value
Reading highway signs is not always easy, especially if your vision is imperfect. Vision in general tends to deteriorate with age. Two researchers conducted a study to determine if the distance at which a standard highway sign could be recognized ..
an entrepreneur is considering the purchase of a coin-operated laundry. the current owner claims that over the past 5
In what ways is the t distribution similar to the standard normal distribution? In what ways is the t distribution different from the standard normal distribution? How does the formula for the t test differ from the formula for the z test?
Suppose that for a particular flight involving a jumbo-jet with 265 seats, the airline sells 278 tickets. What is the probability that the airline will not have enough seats for all the ticket holders who show for the flight?
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