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In this question the general formula p(a|b) = p(a ∩ b)/p(b) is used I understand through intuition why the answer should be 1/3 What i don't understand is why p(both girls, at least one girl) is. Expected girls from one couple$ {}=0.5\cdot1 + 0.25\cdot1 =0.75$ expected boys from one couple$ {}=0.25\cdot1 + 0.25\cdot2 =0.75$ 1 as i said this works for any reasonable rule that could exist in the real world An unreasonable rule would be one in which the expected children per couple was infinite. Use standard type for greek letters, subscripts and superscripts that function as identifiers (i.e., are not variables, as in the subscript “girls” in the example that follows), and abbreviations that are not variables (e.g., log, glm, wls)
Use bold type for symbols for vectors and matrices Use italic type for all other statistical symbols. I'm studying polyphase filter banks (pfb) but am having some difficulty grasping the concept Let me clarify my understanding Suppose we have a signal ranging from dc to 1.25 ghz, and each channel. In how many different ways can 5 people sit around a round table
If the symmetry of the table is not taken into account the. A couple decides to keep having children until they have the same number of boys and girls, and then stop Assume they never have twins, that the trials are independent with probability 1/2 of a boy, and that they are fertile enough to keep producing children indefinitely. Considering the population of girls with tastes disorders, i do a binomial test with number of success k = 7, number of trials n = 8, and probability of success p = 0.5, to test my null hypothesis h0 = my cake tastes good for no more than 50% of the population of girls with taste disorders. A couple decides to keep having children until they have at least one boy and at least one girl, and then stop Assume they never have twi.
I'm conducting an exercise intervention with office workers The intervention will include yoga classes and one to one coaching I will be looking at the effects of the intervention on two dependent
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