Pls help me I will try to give brainleist bc i don't know how
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Mathematics, 30.11.2021 18:10 xXCoryxKenshinXx
Pls help me I will try to give brainleist bc i don't know how
Answers: 3
Mathematics, 21.06.2019 17:00
The accompanying table shows the numbers of male and female students in a particular country who received bachelor's degrees in business in a recent year. complete parts (a) and (b) below. business degrees nonbusiness degrees total male 189131 634650 823781 female 169539 885329 1054868 total 358670 1519979 1878649 (a) find the probability that a randomly selected student is male, given that the student received a business degree. the probability that a randomly selected student is male, given that the student received a business degree, is nothing. (round to three decimal places as needed.) (b) find the probability that a randomly selected student received a business degree, given that the student is female. the probability that a randomly selected student received a business degree, given that the student is female, is nothing. (round to three decimal places as needed.)
Answers: 2
Mathematics, 22.06.2019 03:00
In a class of 77, there are 44 students who play soccer. if the teacher chooses 33 students, what is the probability that none of the three of them play soccer?
Answers: 2
Mathematics, 22.06.2019 04:00
The length of a rectangle is 2 inches more than twice it’s width. if the perimeter of the rectangle is 70 inches,find it’s length and width
Answers: 1
Mathematics, 22.06.2019 04:30
Consider the linear model for a two-stage nested design with b nested in a as given below. yijk=\small \mu + \small \taui + \small \betaj(i) + \small \varepsilon(ij)k , for i=1,; j= ; k=1, assumption: \small \varepsilon(ij)k ~ iid n (0, \small \sigma2) ; \small \taui ~ iid n(0, \small \sigmat2 ); \tiny \sum_{j=1}^{b} \small \betaj(i) =0; \small \varepsilon(ij)k and \small \taui are independent. using only the given information, derive the least square estimator of \small \betaj(i) using the appropriate constraints (sum to zero constraints) and derive e(msb(a) ).
Answers: 2
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