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Determine Probability using multinomial distribution. A college student is taking 5 courses in a semester. He is willing to assume that he will get an A with probability 0.10, a B with probability 0.80, and a C with probability 0.1 in each of the courses. He defines X1, X2, and X3 to be the number of A's, B's and C's respectively that he gets in the semester. For this multinomial variable situation, find:
a) The probability that the student gets all B's.
b) The probability that the student gets 2 A's and 3 B's in the semester.
c) The probability that he gets no C's in the semester.
They were planted in four different locations, so we will consider the field as a second factor because different soil and moisture types can also have an effect on yield. The interaction plot below was obtained.
If x is a binomial random variable where n = 100 and p = .1, find the possibility that x is less than or equal to 10 using the normal approximation to the binomial.
Discuss whether the percent distribution of the cross-tab and chi-square supports/does not support the researcher's hypothesis.
Subjects at both sites were classified as dropouts if they left the study before the conclusion, or completers if they finished the study
The mean amount of time a (unnamed) computer server is down is 18.3 minutes with a standard deviation of 5.7 minutes.
Would you expect the mean absolute percentage error to be more than or less than 0.25? Describe.
Utilize this information to construct a probability table, and then calculate each of the given probabilities:P (female and domestic car).
The Bunte Auto Repair Shop received a shipment of four carburetors. One is known to be defective. If two are selected at random and tested.
Compute the median number of dependents?
What is the probability that a visually impaired student gets less than 6.9 hours of sleep?
Determine the pairs which are significant according to LSD and what pairs are important according to Bonferroni?
A month is classified as "extremely wet" if the amount of rainfall is in the upper 10% for that month. How much precipitation must fall before a month of April is classified as "extremely wet".
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