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According to the National Institute of Allergy and Infectious Diseases, approximately 7% of American children 4 years of age or under have a food allergy. A day care has capacity for 8 children in that age range. Assume that the children attending the daycare are independent. Let the random variable X be the number of children in this day care who have a food allergy. Reference: Ref 12-3 What is the probability that one of the eight children has a food allergy?
the metal body for a spark plug is made by a combination of cold extrusion and machining. the occurrence of surface
Help with showing how do detrime the standard deviation of a problem when the standard deviation is 5. An example would help me to work out a problem for the normal probability distribution.
Describe the given data show a seasonal effect using moving average method. Describe the data which show a seasonal effect.
a manufacturer has designed a process to produce pipes that are 10 feet long. the distribution of the pipe length
electronics manufacturer se must decide whether or not to invest in the development of a new type of battery. if the
If an original set of measurements is made in inches and has mean of 36 and variance of 144, what will be the mean, variance, and standard deviation if:
Illustrate what does weighting add to usefulness of moving averages and explain how is it done. The yield on a thirty year treasury note at the end of every year since 1990 is recorded below.
the computer-science aptitude score x and the achievement score y measured by a comprehensive final were measured for
Find the probability that when 200 reservations are accepted, there are more passengers showing up than there are seats available. Is the probability of overbooking small enough so that it does no happen very often.
an experiment consists of tossing six fair coins. determine the probability density and cumulative distribution
count the number of sequences of 5 as 6 bs and 7 cs in which the first a occurs somewhere before the first
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.
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