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Probability of having 2 girls and probability of having at least one girl ask question asked 8 years ago modified 8 years ago Assume they never have twi. 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
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An unreasonable rule would be one in which the expected children per couple was infinite. A couple decides to keep having children until they have at least one boy and at least one girl, and then stop In how many different ways can 5 people sit around a round table
Is the symmetry of the table important
If the symmetry of the table is not taken into account the. 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. 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. Alternatively, you could inverse the relation and model the independent group variable as a function of the dependent variables This is especially interesting with the multivariate type of dependent data if it has some structure, e.g Plotting the dependent variables in a scatter plot with different colors for the groups, in order to see what kind of distribution you are dealing.
